The presentation slides of "The Distributional Impacts of Transportation Networks in China", published in the Journal of International Economics in 2024
Feasibility Study of Mass Transport in Nasik CityIRJET Journal
This document discusses a feasibility study for implementing a mass transit system in Nasik City, India. It begins with an introduction to mass rapid transit systems and their history. It then discusses the study's aim to facilitate sustainable development in Nasik. The methodology section outlines the study's phases, including selecting corridors, technologies, and assessing alternatives. Traffic and passenger data was collected on major corridors to analyze existing transit demand. Based on this analysis, the document identifies several potential mass rapid transit corridors that could meet Nasik's future transportation needs in a sustainable manner.
This document summarizes a study analyzing two conflicting traffic forecasts for a North Carolina road project. It averages the forecasts to obtain a single estimate and calculates uncertainty bounds. Traffic on the road grew slowly 2000-2011. The original forecast predicted 2.4% annual growth by 2035, but a later revision forecast only 0.9% growth, doubling traffic in 2090 instead of 2035. The document averages the forecasts, estimates standard deviations based on past errors, and calculates likely traffic ranges. It concludes the average forecast and uncertainty analysis can better inform decisions than relying on a single forecast.
ANALYSIS OF SOCIAL & ENVIRONMENTAL IMPACT OF MUMBAI MASS RAPID TRANSIT SYSTEM...IRJET Journal
The document analyzes the social, environmental, and transportation impacts of the proposed 337 km Mumbai Mass Rapid Transit System (MRTS) in the Mumbai Metropolitan Region (MMR). It discusses the existing transportation infrastructure in MMR including the extensive suburban rail network and growing road network. A four-stage transportation demand model is used to forecast travel patterns and modal shifts with the implementation of MRTS through 2041. Environmental impact analysis examines expected reductions in emissions from reduced road traffic. Social impact analysis considers travel time savings and increased transportation comfort. The results will help determine if such a large MRTS investment is justified and create a framework to assess public transit needs in other Indian cities.
121808 - FINAL Report on the Potential Impact of Regional Transit on Metropol...John Crocker
This document examines the potential impacts of major investment in regional transit infrastructure in metropolitan Atlanta using the Concept 3 Vision Plan from the Transit Planning Board. It finds that Concept 3 could more than double transit ridership, increase accessibility of employment centers, reduce congestion and travel times on roadways, improve safety, and provide benefits that outweigh costs with a ratio of $4.9-$10.8 billion in annual benefits for an annual investment of $2.4 billion. The analysis also finds Concept 3 would help achieve state transportation goals around mobility, accessibility, congestion reduction, and optimizing existing infrastructure.
IRJET- Review on Assessment of Mode Shift Behavior due to Introduction of New...IRJET Journal
This document summarizes research on assessing mode shift behavior due to the introduction of new mass transit systems. It discusses various survey methods used to collect data on commuter demographics, travel characteristics, and current versus hypothetical travel behavior. Models are developed to analyze survey data and compare scenarios with and without new transit modes. The probability of mode choice and shifts from private vehicles or existing transit to new systems like metro or bus rapid transit are examined. Methodologies to evaluate these mode choice probabilities using stated preference and revealed preference surveys are also outlined.
IRJET- Review on Assessment of Mode Shift Behavior due to Introduction of...IRJET Journal
This document summarizes research on assessing mode shift behavior due to the introduction of new mass transit systems. It discusses various survey methods used to collect data on commuter demographics, travel characteristics, and current/hypothetical travel behavior. Models like binomial logistic regression and multinomial logit are presented that analyze survey data to predict mode choice probabilities and evaluate shifts from private vehicles and buses to new transit modes like metro systems. The success of new transit projects is evaluated based on how many commuters shift modes. Methodologies to assess this mode shift behavior are discussed in detail.
Accessibility analysis of public transport networks in urban areasMayank Bansal
The document analyzes methodologies for assessing public transport accessibility in urban areas. It discusses objectives to study existing methods, applicability to India, impacts of accessibility, and future research scope. As a case study, it examines a study that measured public transport accessibility levels (PTAL) for different zones in Ahmedabad, India using a modified version of the UK methodology. Key findings were that accessibility was best in city centers and outskirts had poor accessibility. Improving access for all sections of society was recommended.
Implications of highway capacity manual on freeway measure of effectiveness a...eSAT Journals
This document summarizes a study of highway capacity and level of service on sections of Interstate 94 and its interchanges in the Fargo-Moorhead metropolitan area. The study found that several segments and ramps were approaching or exceeding capacity based on 2010 and future travel demand projections. In particular, segments from 9th Street to 45th Street and ramps from 9th Street to University Drive were shown to be deficient. The implications of using Highway Capacity Manual 2000 versus 2010 for analysis were also examined.
Feasibility Study of Mass Transport in Nasik CityIRJET Journal
This document discusses a feasibility study for implementing a mass transit system in Nasik City, India. It begins with an introduction to mass rapid transit systems and their history. It then discusses the study's aim to facilitate sustainable development in Nasik. The methodology section outlines the study's phases, including selecting corridors, technologies, and assessing alternatives. Traffic and passenger data was collected on major corridors to analyze existing transit demand. Based on this analysis, the document identifies several potential mass rapid transit corridors that could meet Nasik's future transportation needs in a sustainable manner.
This document summarizes a study analyzing two conflicting traffic forecasts for a North Carolina road project. It averages the forecasts to obtain a single estimate and calculates uncertainty bounds. Traffic on the road grew slowly 2000-2011. The original forecast predicted 2.4% annual growth by 2035, but a later revision forecast only 0.9% growth, doubling traffic in 2090 instead of 2035. The document averages the forecasts, estimates standard deviations based on past errors, and calculates likely traffic ranges. It concludes the average forecast and uncertainty analysis can better inform decisions than relying on a single forecast.
ANALYSIS OF SOCIAL & ENVIRONMENTAL IMPACT OF MUMBAI MASS RAPID TRANSIT SYSTEM...IRJET Journal
The document analyzes the social, environmental, and transportation impacts of the proposed 337 km Mumbai Mass Rapid Transit System (MRTS) in the Mumbai Metropolitan Region (MMR). It discusses the existing transportation infrastructure in MMR including the extensive suburban rail network and growing road network. A four-stage transportation demand model is used to forecast travel patterns and modal shifts with the implementation of MRTS through 2041. Environmental impact analysis examines expected reductions in emissions from reduced road traffic. Social impact analysis considers travel time savings and increased transportation comfort. The results will help determine if such a large MRTS investment is justified and create a framework to assess public transit needs in other Indian cities.
121808 - FINAL Report on the Potential Impact of Regional Transit on Metropol...John Crocker
This document examines the potential impacts of major investment in regional transit infrastructure in metropolitan Atlanta using the Concept 3 Vision Plan from the Transit Planning Board. It finds that Concept 3 could more than double transit ridership, increase accessibility of employment centers, reduce congestion and travel times on roadways, improve safety, and provide benefits that outweigh costs with a ratio of $4.9-$10.8 billion in annual benefits for an annual investment of $2.4 billion. The analysis also finds Concept 3 would help achieve state transportation goals around mobility, accessibility, congestion reduction, and optimizing existing infrastructure.
IRJET- Review on Assessment of Mode Shift Behavior due to Introduction of New...IRJET Journal
This document summarizes research on assessing mode shift behavior due to the introduction of new mass transit systems. It discusses various survey methods used to collect data on commuter demographics, travel characteristics, and current versus hypothetical travel behavior. Models are developed to analyze survey data and compare scenarios with and without new transit modes. The probability of mode choice and shifts from private vehicles or existing transit to new systems like metro or bus rapid transit are examined. Methodologies to evaluate these mode choice probabilities using stated preference and revealed preference surveys are also outlined.
IRJET- Review on Assessment of Mode Shift Behavior due to Introduction of...IRJET Journal
This document summarizes research on assessing mode shift behavior due to the introduction of new mass transit systems. It discusses various survey methods used to collect data on commuter demographics, travel characteristics, and current/hypothetical travel behavior. Models like binomial logistic regression and multinomial logit are presented that analyze survey data to predict mode choice probabilities and evaluate shifts from private vehicles and buses to new transit modes like metro systems. The success of new transit projects is evaluated based on how many commuters shift modes. Methodologies to assess this mode shift behavior are discussed in detail.
Accessibility analysis of public transport networks in urban areasMayank Bansal
The document analyzes methodologies for assessing public transport accessibility in urban areas. It discusses objectives to study existing methods, applicability to India, impacts of accessibility, and future research scope. As a case study, it examines a study that measured public transport accessibility levels (PTAL) for different zones in Ahmedabad, India using a modified version of the UK methodology. Key findings were that accessibility was best in city centers and outskirts had poor accessibility. Improving access for all sections of society was recommended.
Implications of highway capacity manual on freeway measure of effectiveness a...eSAT Journals
This document summarizes a study of highway capacity and level of service on sections of Interstate 94 and its interchanges in the Fargo-Moorhead metropolitan area. The study found that several segments and ramps were approaching or exceeding capacity based on 2010 and future travel demand projections. In particular, segments from 9th Street to 45th Street and ramps from 9th Street to University Drive were shown to be deficient. The implications of using Highway Capacity Manual 2000 versus 2010 for analysis were also examined.
This document presents a bottom-up methodology to estimate vehicle emissions in Beijing, China at the grid level. The methodology combines vehicle emission factors based on speed from the MOBILE5B-China model with vehicle activity data from a travel demand model. Applying this approach, total emissions of HC, CO and NOx in Beijing's urban area in 2005 were estimated to be 13.33×104, 100.02×104 and 7.55×104 tons respectively. The grid-based estimates provide a more accurate spatial distribution of emissions compared to typical macro-scale approaches used in China.
The Development of Public Transportation Strategic Plan for Metro Cebu Volume...Emmanuel Mongaya
This document provides an executive summary of the final report on developing a public transportation strategic plan for Metro Cebu. It summarizes the methodology, existing public transport situation, identification of potential medium to high capacity transit corridors, selection of transit corridors, and key findings and recommendations. The study involved comprehensive data collection and transport modeling to analyze passenger demand and identify the most suitable transit backbone corridors to form the structure of an improved public transportation system for Metro Cebu. Seven alternative transit corridors were proposed and evaluated based on passenger volume forecasts to select the priority corridors for implementation.
This document analyzes transportation modes between Boston, New York, and Washington D.C. Currently, road travel by car accounts for most trips but highways are congested. The document proposes a maglev high-speed rail system as an alternative. It compares the energy use, emissions, costs, and travel times of current modes like cars, trains, and planes to the proposed maglev system. An economic analysis is conducted to determine if the maglev system would be financially viable and beneficial in terms of sustainability and productivity for the Northeast Corridor region.
Application of a Markov chain traffic model to the Greater Philadelphia RegionJoseph Reiter
A macroscopic traffic model based on the Markov chain process is developed for urban traffic networks. The method utilizes existing census data rather than measurements of traffic to create parameters for the model. Four versions of the model are applied to the Philadelphia regional highway network and evaluated based on their ability to predict segments of highway that possess heavy traffic.
This document summarizes research on the inaccuracies in transportation planning models' traffic forecasts that are used for major capital infrastructure decisions. It finds that forecasts are often inaccurate, with actual traffic volumes being significantly different than what was predicted.
It then examines factors that can contribute to these forecasting inaccuracies, such as uncertainties in inputs, model specification errors, and models not adequately accounting for things like induced demand and land use impacts.
The document presents a case study analyzing changes in land use and traffic patterns near the Attiki Odos motorway in Athens, Greece, finding that the new infrastructure project led to greater development and additional generated traffic beyond what was originally forecasted.
ENHANCING URBAN ROAD NETWORK EFFICIENCY IN KERALA, INDIA: A COMPREHENSIVE ANA...IRJET Journal
This document summarizes a study analyzing traffic congestion and level of service on urban roads in Tirur, Kerala, India. Data was collected using the moving observer car method at 7 locations along a 13 km stretch of road between Rajiv Gandhi Stadium and Nariparambu Junction. Travel time reliability indices, level of service, and regression analysis were used to evaluate traffic conditions. Key findings included that road width impacted level of service and travel time was influenced by road length and vehicle speed. Recommendations were proposed to address congestion issues and improve traffic flow efficiency to enhance the urban road network and travel experiences.
1) The document tracks changes over 20 years to the traffic service quality in downtown Fort Worth using the Two-Fluid model. It calibrates the model for 1990 and 2012 to compare the Two-Fluid parameters (Tm, n) over time.
2) Key network attributes like block length, number of lanes, and signal timing were also compared between 1990 and 2012. Changes to these attributes help explain changes to the Two-Fluid parameters.
3) The results show certain attributes like the fraction of one-way streets and signal density are major factors in determining traffic service quality as represented by the Two-Fluid parameters. Comparing the 1990 and 2012 calibrations indicates how the downtown network
Investigation And Improvement of Road Pavement Section For Rankuva Crossing T...IRJET Journal
This document discusses investigations into improving the road pavement section from Rankuva Crossing to Chikhali-Vansda Road in India. It begins with an abstract that outlines the need for timely highway pavement maintenance to prevent rapid deterioration. The objectives of the study are then presented, which include analyzing the existing traffic flow, surface conditions, and geometry to identify causes of deterioration. Literature on highway pavement design, maintenance, and performance evaluation is also reviewed. The document discusses methods that will be used in the study, including classifying failure patterns through visual inspection and studying visual and structural maintenance needs. Stress and deflection testing methods for the road section will also be determined. The introduction provides background on road infrastructure in Gujarat state.
an application of analytic network process for evaluating public transport su...BME
For public transportation problem there are some analytic hierarchical processes for decision support, however there only very few applications which consider the interrelations between the public transport supply quality factors. Because representing the problem by the analytic network process is more similar to real situations where the factors act in a non hierarchical way. The paper aims to analyze the interrelation and the importance of relevant factors in public transportation systems by using the analytic network process, that support the decision makers to evaluate the impacts of different criteria in the final result.
Focused on the lane occupancy phenomenon, this paper analyzes the roads during two different accidents to the evacuation period. Firstly, according to the statistical data, this paper calculated the correction coefficients under the road traffic condition, and then obtained the actual traffic capacity result at each moment of the road when combining the function model of the actual traffic capacity corrected by the running speed and the road traffic condition. Next the actual traffic capacity results are fitted to the Smooth spline interpolation, and then the actual traffic capacity is further verified by the traffic congestion situation. The actual traffic capacity of the road during the accident to evacuation is summarized as follows: the actual traffic capacity shows a nonlinear trend, that is, ascending-attenuating-recovering and gradually stabilizing. Finally, using Mann-Whitney U test to carry out the difference test on the actual traffic capacity, it is found that there is significant difference between the two groups of data, and the actual traffic capacity of the second case is stronger than that of the first one, and the reasons for the difference are analyzed as follows: the ratio of the steering traffic volume at the downstream intersection is different; this road section includes the community intersection and there are vehicles entering and leaving; meanwhile the speed of each lane is different and there are buildings near the lane. The above conclusions will provide theoretical basis for the traffic management department to correctly guide the vehicle driving, approve the road construction, design the road channelization plan, set the roadside parking space and the non-port-type bus stations.
IRJET- Study of Existing Highways and their Capacity ImprovementsIRJET Journal
This document discusses a study of an existing two-lane highway in India to analyze its current capacity and propose improvements. The study focuses on a 45km stretch of National Highway 72 between Ambala City and Naraingarh in Haryana. Primary data on traffic volumes and road characteristics was collected through surveys. Secondary data was also reviewed. The maximum daily traffic volume found was 25,000 passenger car units, exceeding the recommended design capacity of 15,000 passenger car units for a two-lane rural road. As a result, the study proposes widening the highway to increase its capacity and address current traffic issues like congestion.
Optimum Cost Analysis For Selecting Best Suited Flexible Pavement Road Type F...IRJET Journal
This document summarizes a research study that analyzed the construction costs of different flexible pavement road types listed in IRC 37-2012 for a range of soil bearing capacities (CBRs) and traffic volumes. The study calculated direct construction costs for five road types using district schedule rates and specifications. It determined the lowest cost road type for sample traffic and CBR conditions using an optimal cost analysis method. The study also calculated cost proportions for materials, equipment, and construction to establish a baseline budget. It allows estimating potential cost increases if the road type needs to change by calculating cost variance percentages for all five road types. The research aims to help select the most cost-effective road type and establish cost baselines and estimates to control construction budgets.
Strategic Dispatching System Design for Truckload TransportationMerve Nur Taş
The document discusses a strategic dispatching system design for truckload transportation using a multi-terminal relay network. It begins by introducing the trucking industry and some of its challenges. It then presents the hypothesis that using a multi-terminal network can improve haul times and efficiency over point-to-point dispatching. The methodology section outlines the model construction, including defining source-destination pairs, potential terminal points, and route enumeration. The results section finds that the multi-terminal network decreases total time between sources and destinations, increases truck and driver utilization, and averages 0.9 terminals visited per load.
Traffic Circulation, Diversion, and Management Plan for Ahmedabad- Mumbai Hig...IRJET Journal
This document provides a traffic circulation, diversion, and management plan for Package C-7 of the Ahmedabad-Mumbai High Speed Rail Corridor. Package C-7 is an 18.133 km stretch that includes the upcoming Ahmedabad and Sabarmati stations. Primary traffic surveys were conducted along the corridor, including traffic volume counts, turning movement counts, and origin-destination surveys. Based on the survey results, the existing level of service was analyzed. A traffic circulation plan is proposed for construction vehicles, including designated routes parallel to the corridor and railway crossings. The plan aims to minimize congestion impacts and ensure safety during construction activities.
A New Paradigm in User Equilibrium-Application in Managed Lane PricingCSCJournals
Ineffective use of the High-Occupancy-Vehicle (HOV) lanes has the potential to decrease the overall roadway throughput during peak periods. Excess capacity in HOV lanes during peak periods can be made available to other types of vehicles, including single occupancy vehicles (SOV) for a price (toll). Such dual use lanes are known as “Managed Lanes.” The main purpose of this research is to propose a new paradigm in user equilibrium to predict the travel demand for determining the optimal fare policy for managed lane facilities. Depending on their value of time, motorists may choose to travel on Managed Lanes (ML) or General Purpose Lanes (GPL). In this study, the features in the software called Toll Pricing Modeler version 4.3 (TPM-4.3) are described. TPM-4.3 is developed based on this new user equilibrium concept and utilizes it to examine various operating scenarios. The software has two built-in operating objective options: 1) what would the ML operating speed be for a specified SOV toll, or 2) what should the SOV toll be for a desired minimum ML operating speed. A number of pricing policy scenarios are developed and examined on the proposed managed lane segment on Interstate 30 (I-30) in Grand Prairie, Texas. The software provides quantitative estimates of various factors including toll revenue, emissions and system performance such as person movement and traffic speed on managed and general purpose lanes. Overall, among the scenarios examined, higher toll rates tend to generate higher toll revenues, reduce overall CO and NOx emissions, and shift demand to general purpose lanes. On the other hand, HOV preferential treatments at any given toll level tend to reduce toll revenue, have no impact on or reduce system performance on managed lanes, and increase CO and NOx emissions.
This document summarizes a study of congestion along the Bay Bridge corridor between Oakland and San Francisco. It finds that future traffic growth will significantly worsen congestion at the Bay Bridge toll plaza by 2035, blocking lanes used by Transbay buses and degrading transit operations. To address this, the study evaluates options like implementing a westbound contraflow lane on the Bay Bridge during morning commutes and improving access points. Microsimulation modeling shows that a contraflow lane, along with other improvements, could maintain transit reliability by keeping buses moving at acceptable speeds. However, the document notes further analysis is needed to study potential improvements to Bay Bridge on-ramps affecting afternoon traffic exiting San Francisco.
IRJET- Traffic Analysis and Alternative SolutionIRJET Journal
This document summarizes a study of traffic at the Konanakunte junction in Bangalore, India. Volume counts and passenger car unit calculations were performed during morning and evening peak hours on the four roads intersecting at the junction. Analysis found traffic volumes exceeding design standards on some approaches. Suggested improvements include widening some roads to 4 or 6 lanes to increase capacity according to traffic engineering guidelines. The study aims to identify alternatives to reduce travel times and queues at the congested intersection.
ALTERNATE ROPEWAY TRANSIT SYSTEM FOR MANPADA ROADcivej
Cities grow in dynamic complex patterns, creating many problems. The study area of Dombivli - Manpada road has grown haphazardly in past decade due to population xplosion. Manpada road attracts heavy traffic but due to narrow roads and inefficient transit options, it leads to severe traffic congestion, side friction, delays, stress, accidents and other problems. Alternate ropeway transit system provides a better
public transit option and plays important role in reducing use of fossil fuels thus helping fight climate change. Total travel during peak hours is expected to double from 48000 to 88000 by 2031 which needs to be supported by various public transits. Cost benefit analysis is used here for evaluating desirability of project by weighting benefits against costs. Ropeway is expected to provide sustainable development,
efficient and effective public transit option and contribute to protection and enhancement of environment.
Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman fil...IJMER
This document presents a hybrid method for predicting bus arrival times using neural networks and Kalman filters. The proposed method combines a neural network trained on historical bus location and travel time data to make initial predictions, and then uses a Kalman filter to continuously update the predictions based on real-time GPS measurements from buses. The neural network model uses seven input nodes and a double hidden layer structure. The Kalman filter equations are used to fuse the neural network predictions with current GPS observations to improve prediction accuracy over time. A case study on a real bus route in Egypt showed the hybrid method achieved satisfactory prediction accuracy.
This document presents a bottom-up methodology to estimate vehicle emissions in Beijing, China at the grid level. The methodology combines vehicle emission factors based on speed from the MOBILE5B-China model with vehicle activity data from a travel demand model. Applying this approach, total emissions of HC, CO and NOx in Beijing's urban area in 2005 were estimated to be 13.33×104, 100.02×104 and 7.55×104 tons respectively. The grid-based estimates provide a more accurate spatial distribution of emissions compared to typical macro-scale approaches used in China.
The Development of Public Transportation Strategic Plan for Metro Cebu Volume...Emmanuel Mongaya
This document provides an executive summary of the final report on developing a public transportation strategic plan for Metro Cebu. It summarizes the methodology, existing public transport situation, identification of potential medium to high capacity transit corridors, selection of transit corridors, and key findings and recommendations. The study involved comprehensive data collection and transport modeling to analyze passenger demand and identify the most suitable transit backbone corridors to form the structure of an improved public transportation system for Metro Cebu. Seven alternative transit corridors were proposed and evaluated based on passenger volume forecasts to select the priority corridors for implementation.
This document analyzes transportation modes between Boston, New York, and Washington D.C. Currently, road travel by car accounts for most trips but highways are congested. The document proposes a maglev high-speed rail system as an alternative. It compares the energy use, emissions, costs, and travel times of current modes like cars, trains, and planes to the proposed maglev system. An economic analysis is conducted to determine if the maglev system would be financially viable and beneficial in terms of sustainability and productivity for the Northeast Corridor region.
Application of a Markov chain traffic model to the Greater Philadelphia RegionJoseph Reiter
A macroscopic traffic model based on the Markov chain process is developed for urban traffic networks. The method utilizes existing census data rather than measurements of traffic to create parameters for the model. Four versions of the model are applied to the Philadelphia regional highway network and evaluated based on their ability to predict segments of highway that possess heavy traffic.
This document summarizes research on the inaccuracies in transportation planning models' traffic forecasts that are used for major capital infrastructure decisions. It finds that forecasts are often inaccurate, with actual traffic volumes being significantly different than what was predicted.
It then examines factors that can contribute to these forecasting inaccuracies, such as uncertainties in inputs, model specification errors, and models not adequately accounting for things like induced demand and land use impacts.
The document presents a case study analyzing changes in land use and traffic patterns near the Attiki Odos motorway in Athens, Greece, finding that the new infrastructure project led to greater development and additional generated traffic beyond what was originally forecasted.
ENHANCING URBAN ROAD NETWORK EFFICIENCY IN KERALA, INDIA: A COMPREHENSIVE ANA...IRJET Journal
This document summarizes a study analyzing traffic congestion and level of service on urban roads in Tirur, Kerala, India. Data was collected using the moving observer car method at 7 locations along a 13 km stretch of road between Rajiv Gandhi Stadium and Nariparambu Junction. Travel time reliability indices, level of service, and regression analysis were used to evaluate traffic conditions. Key findings included that road width impacted level of service and travel time was influenced by road length and vehicle speed. Recommendations were proposed to address congestion issues and improve traffic flow efficiency to enhance the urban road network and travel experiences.
1) The document tracks changes over 20 years to the traffic service quality in downtown Fort Worth using the Two-Fluid model. It calibrates the model for 1990 and 2012 to compare the Two-Fluid parameters (Tm, n) over time.
2) Key network attributes like block length, number of lanes, and signal timing were also compared between 1990 and 2012. Changes to these attributes help explain changes to the Two-Fluid parameters.
3) The results show certain attributes like the fraction of one-way streets and signal density are major factors in determining traffic service quality as represented by the Two-Fluid parameters. Comparing the 1990 and 2012 calibrations indicates how the downtown network
Investigation And Improvement of Road Pavement Section For Rankuva Crossing T...IRJET Journal
This document discusses investigations into improving the road pavement section from Rankuva Crossing to Chikhali-Vansda Road in India. It begins with an abstract that outlines the need for timely highway pavement maintenance to prevent rapid deterioration. The objectives of the study are then presented, which include analyzing the existing traffic flow, surface conditions, and geometry to identify causes of deterioration. Literature on highway pavement design, maintenance, and performance evaluation is also reviewed. The document discusses methods that will be used in the study, including classifying failure patterns through visual inspection and studying visual and structural maintenance needs. Stress and deflection testing methods for the road section will also be determined. The introduction provides background on road infrastructure in Gujarat state.
an application of analytic network process for evaluating public transport su...BME
For public transportation problem there are some analytic hierarchical processes for decision support, however there only very few applications which consider the interrelations between the public transport supply quality factors. Because representing the problem by the analytic network process is more similar to real situations where the factors act in a non hierarchical way. The paper aims to analyze the interrelation and the importance of relevant factors in public transportation systems by using the analytic network process, that support the decision makers to evaluate the impacts of different criteria in the final result.
Focused on the lane occupancy phenomenon, this paper analyzes the roads during two different accidents to the evacuation period. Firstly, according to the statistical data, this paper calculated the correction coefficients under the road traffic condition, and then obtained the actual traffic capacity result at each moment of the road when combining the function model of the actual traffic capacity corrected by the running speed and the road traffic condition. Next the actual traffic capacity results are fitted to the Smooth spline interpolation, and then the actual traffic capacity is further verified by the traffic congestion situation. The actual traffic capacity of the road during the accident to evacuation is summarized as follows: the actual traffic capacity shows a nonlinear trend, that is, ascending-attenuating-recovering and gradually stabilizing. Finally, using Mann-Whitney U test to carry out the difference test on the actual traffic capacity, it is found that there is significant difference between the two groups of data, and the actual traffic capacity of the second case is stronger than that of the first one, and the reasons for the difference are analyzed as follows: the ratio of the steering traffic volume at the downstream intersection is different; this road section includes the community intersection and there are vehicles entering and leaving; meanwhile the speed of each lane is different and there are buildings near the lane. The above conclusions will provide theoretical basis for the traffic management department to correctly guide the vehicle driving, approve the road construction, design the road channelization plan, set the roadside parking space and the non-port-type bus stations.
IRJET- Study of Existing Highways and their Capacity ImprovementsIRJET Journal
This document discusses a study of an existing two-lane highway in India to analyze its current capacity and propose improvements. The study focuses on a 45km stretch of National Highway 72 between Ambala City and Naraingarh in Haryana. Primary data on traffic volumes and road characteristics was collected through surveys. Secondary data was also reviewed. The maximum daily traffic volume found was 25,000 passenger car units, exceeding the recommended design capacity of 15,000 passenger car units for a two-lane rural road. As a result, the study proposes widening the highway to increase its capacity and address current traffic issues like congestion.
Optimum Cost Analysis For Selecting Best Suited Flexible Pavement Road Type F...IRJET Journal
This document summarizes a research study that analyzed the construction costs of different flexible pavement road types listed in IRC 37-2012 for a range of soil bearing capacities (CBRs) and traffic volumes. The study calculated direct construction costs for five road types using district schedule rates and specifications. It determined the lowest cost road type for sample traffic and CBR conditions using an optimal cost analysis method. The study also calculated cost proportions for materials, equipment, and construction to establish a baseline budget. It allows estimating potential cost increases if the road type needs to change by calculating cost variance percentages for all five road types. The research aims to help select the most cost-effective road type and establish cost baselines and estimates to control construction budgets.
Strategic Dispatching System Design for Truckload TransportationMerve Nur Taş
The document discusses a strategic dispatching system design for truckload transportation using a multi-terminal relay network. It begins by introducing the trucking industry and some of its challenges. It then presents the hypothesis that using a multi-terminal network can improve haul times and efficiency over point-to-point dispatching. The methodology section outlines the model construction, including defining source-destination pairs, potential terminal points, and route enumeration. The results section finds that the multi-terminal network decreases total time between sources and destinations, increases truck and driver utilization, and averages 0.9 terminals visited per load.
Traffic Circulation, Diversion, and Management Plan for Ahmedabad- Mumbai Hig...IRJET Journal
This document provides a traffic circulation, diversion, and management plan for Package C-7 of the Ahmedabad-Mumbai High Speed Rail Corridor. Package C-7 is an 18.133 km stretch that includes the upcoming Ahmedabad and Sabarmati stations. Primary traffic surveys were conducted along the corridor, including traffic volume counts, turning movement counts, and origin-destination surveys. Based on the survey results, the existing level of service was analyzed. A traffic circulation plan is proposed for construction vehicles, including designated routes parallel to the corridor and railway crossings. The plan aims to minimize congestion impacts and ensure safety during construction activities.
A New Paradigm in User Equilibrium-Application in Managed Lane PricingCSCJournals
Ineffective use of the High-Occupancy-Vehicle (HOV) lanes has the potential to decrease the overall roadway throughput during peak periods. Excess capacity in HOV lanes during peak periods can be made available to other types of vehicles, including single occupancy vehicles (SOV) for a price (toll). Such dual use lanes are known as “Managed Lanes.” The main purpose of this research is to propose a new paradigm in user equilibrium to predict the travel demand for determining the optimal fare policy for managed lane facilities. Depending on their value of time, motorists may choose to travel on Managed Lanes (ML) or General Purpose Lanes (GPL). In this study, the features in the software called Toll Pricing Modeler version 4.3 (TPM-4.3) are described. TPM-4.3 is developed based on this new user equilibrium concept and utilizes it to examine various operating scenarios. The software has two built-in operating objective options: 1) what would the ML operating speed be for a specified SOV toll, or 2) what should the SOV toll be for a desired minimum ML operating speed. A number of pricing policy scenarios are developed and examined on the proposed managed lane segment on Interstate 30 (I-30) in Grand Prairie, Texas. The software provides quantitative estimates of various factors including toll revenue, emissions and system performance such as person movement and traffic speed on managed and general purpose lanes. Overall, among the scenarios examined, higher toll rates tend to generate higher toll revenues, reduce overall CO and NOx emissions, and shift demand to general purpose lanes. On the other hand, HOV preferential treatments at any given toll level tend to reduce toll revenue, have no impact on or reduce system performance on managed lanes, and increase CO and NOx emissions.
This document summarizes a study of congestion along the Bay Bridge corridor between Oakland and San Francisco. It finds that future traffic growth will significantly worsen congestion at the Bay Bridge toll plaza by 2035, blocking lanes used by Transbay buses and degrading transit operations. To address this, the study evaluates options like implementing a westbound contraflow lane on the Bay Bridge during morning commutes and improving access points. Microsimulation modeling shows that a contraflow lane, along with other improvements, could maintain transit reliability by keeping buses moving at acceptable speeds. However, the document notes further analysis is needed to study potential improvements to Bay Bridge on-ramps affecting afternoon traffic exiting San Francisco.
IRJET- Traffic Analysis and Alternative SolutionIRJET Journal
This document summarizes a study of traffic at the Konanakunte junction in Bangalore, India. Volume counts and passenger car unit calculations were performed during morning and evening peak hours on the four roads intersecting at the junction. Analysis found traffic volumes exceeding design standards on some approaches. Suggested improvements include widening some roads to 4 or 6 lanes to increase capacity according to traffic engineering guidelines. The study aims to identify alternatives to reduce travel times and queues at the congested intersection.
ALTERNATE ROPEWAY TRANSIT SYSTEM FOR MANPADA ROADcivej
Cities grow in dynamic complex patterns, creating many problems. The study area of Dombivli - Manpada road has grown haphazardly in past decade due to population xplosion. Manpada road attracts heavy traffic but due to narrow roads and inefficient transit options, it leads to severe traffic congestion, side friction, delays, stress, accidents and other problems. Alternate ropeway transit system provides a better
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The Distributional Impacts of Transportation Networks in China
1. The Distributional Impacts of Transportation Networks
in China
Lin Ma and Yang Tang
Singapore Management University and Nanyang Technological University
2023-10-27, Fudan TED Conference
Ma and Tang (SMU and NTU) 05-09-23, HKU 1 / 28
3. Introduction
Motivation
Infrastructure investment, especially transportation networks, is
widely seen as a driver of economic prosperity.
The case of China is particularly interesting as the country has rapidly
built up its transportation networks since the 1990s.
Ma and Tang (SMU and NTU) 05-09-23, HKU 2 / 28
4. Introduction
Motivation
Infrastructure investment, especially transportation networks, is
widely seen as a driver of economic prosperity.
The case of China is particularly interesting as the country has rapidly
built up its transportation networks since the 1990s.
However, the distributional impacts are not clear, for two reasons:
1 From a theory point of view, better roads improve the mobility of both
goods and factor:
Better goods mobility improves the relative market access of the small
and remote cities;
Better factor mobility allows people to move out from the small and
remote cities at the same time.
Ma and Tang (SMU and NTU) 05-09-23, HKU 2 / 28
5. Introduction
Motivation
Infrastructure investment, especially transportation networks, is
widely seen as a driver of economic prosperity.
The case of China is particularly interesting as the country has rapidly
built up its transportation networks since the 1990s.
However, the distributional impacts are not clear, for two reasons:
1 From a theory point of view, better roads improve the mobility of both
goods and factor:
Better goods mobility improves the relative market access of the small
and remote cities;
Better factor mobility allows people to move out from the small and
remote cities at the same time.
2 Empirically, to do a quantitative analysis, we also need panel data on
transportation networks; this is lacking in the context of China.
Ma and Tang (SMU and NTU) 05-09-23, HKU 2 / 28
6. Introduction
This Project: Data
We construct a new panel dataset on the transportation networks in China
between 1994 and 2017:
1 Measuring the quality of the roads and railroads using design speed.
Across time: a “highway” built in 1994 only allows for a fraction of
travel speed as compared to a highway in 2017.
Across space: roads in the rugged terrains are built for half the design
speed as those in the eastern flood plains.
Ma and Tang (SMU and NTU) 05-09-23, HKU 3 / 28
7. Introduction
This Project: Data
We construct a new panel dataset on the transportation networks in China
between 1994 and 2017:
1 Measuring the quality of the roads and railroads using design speed.
Across time: a “highway” built in 1994 only allows for a fraction of
travel speed as compared to a highway in 2017.
Across space: roads in the rugged terrains are built for half the design
speed as those in the eastern flood plains.
2 Multiple modes: road, railroad, and waterway.
3 Distinguish the types of traffic on the railroads: passenger, freight, or
mixed.
Ma and Tang (SMU and NTU) 05-09-23, HKU 3 / 28
8. Introduction
Main Result: Quality Matters
1 Quality-adjustments matter for travel time estimation. Without
adjustment:
Over-estimation on the road network by 22%.
Under-estimation on the rail network by 37% to 59%.
Ma and Tang (SMU and NTU) 05-09-23, HKU 4 / 28
9. Introduction
Main Result: Quality Matters
1 Quality-adjustments matter for travel time estimation. Without
adjustment:
Over-estimation on the road network by 22%.
Under-estimation on the rail network by 37% to 59%.
2 Quality-adjusted travel time is strictly better:
External validation using bus and train timetable data.
A horse race between the quality-adjusted and unadjusted travel time
estimation against the observed travel time from timetable.
Quality-adjusted travel time has much higher explanatory power than
the unadjusted ones.
Ma and Tang (SMU and NTU) 05-09-23, HKU 4 / 28
10. Introduction
Main Result: Quality Matters
1 Quality-adjustments matter for travel time estimation. Without
adjustment:
Over-estimation on the road network by 22%.
Under-estimation on the rail network by 37% to 59%.
2 Quality-adjusted travel time is strictly better:
External validation using bus and train timetable data.
A horse race between the quality-adjusted and unadjusted travel time
estimation against the observed travel time from timetable.
Quality-adjusted travel time has much higher explanatory power than
the unadjusted ones.
3 Through a dynamic structural model:
The median bias in the real wage growth rates is 19% to 33%.
At the right tail, ignoring quality measure leads to a bias of 500%.
Ma and Tang (SMU and NTU) 05-09-23, HKU 4 / 28
11. Introduction
Main Result: Quality Matters
1 Quality-adjustments matter for travel time estimation. Without
adjustment:
Over-estimation on the road network by 22%.
Under-estimation on the rail network by 37% to 59%.
2 Quality-adjusted travel time is strictly better:
External validation using bus and train timetable data.
A horse race between the quality-adjusted and unadjusted travel time
estimation against the observed travel time from timetable.
Quality-adjusted travel time has much higher explanatory power than
the unadjusted ones.
3 Through a dynamic structural model:
The median bias in the real wage growth rates is 19% to 33%.
At the right tail, ignoring quality measure leads to a bias of 500%.
4 Biases are not random! Correlated with initial conditions.
You cannot treat them as classical measurement errors and deal with
them using IV.
Ma and Tang (SMU and NTU) 05-09-23, HKU 4 / 28
12. Introduction
Literature
Quantitative evaluation of infrastructure projects:
Allen and Arkolakis (2014, 2022), Redding and Turner (2015),
Donaldson and Hornbeck (2016), Alder (2016), Allen and Donaldson
(2018), Donaldson (2018).
In the Chinese context:
Bai and Qian (2010), Banerjee, Duflo, and Qian (2012), Faber (2014),
Qin(2016), Lin (2017), Xu (2017), Baum-Snow, Henderson, Turner,
Zhang and Brandt (2020), Ma and Tang (2020), Fan, Lu and Luo
(2021), Alder, Song and Zhu (2021), Egger, Loumeau, and Loumeau
(2023).
Infrastructure quality
Berg et al. (2018); Asher and Novosad (2020); Jedwab and Storeygard
(2021).
Ma and Tang (SMU and NTU) 05-09-23, HKU 5 / 28
13. Data
Outline
1 Introduction
2 Data
Dataset Construction
Quality Matters
3 Structural Exercise
Model
Quantification
Results
Ma and Tang (SMU and NTU) 05-09-23, HKU 5 / 28
14. Data Dataset Construction
Measuring the Quality of Infrastructure
Existing transportation data in China are binary and ignore quality
variations:
USGS 1992 map (USGS, CDC at University of Michigan);
State Bureau of Surveying and Mapping (China) 2008 map;
ACASIAN Data Center at Griffith University from 1992 to 2010;
Baum-Snow et al. (2020), Egger, Loumeau, and Loumeau (2023).
Ma and Tang (SMU and NTU) 05-09-23, HKU 6 / 28
15. Data Dataset Construction
Measuring the Quality of Infrastructure
Existing transportation data in China are binary and ignore quality
variations:
USGS 1992 map (USGS, CDC at University of Michigan);
State Bureau of Surveying and Mapping (China) 2008 map;
ACASIAN Data Center at Griffith University from 1992 to 2010;
Baum-Snow et al. (2020), Egger, Loumeau, and Loumeau (2023).
The quality of roads and railroads differ by vintage, rate, and terrain,
as stipulated by the official design codes:
Older, lower-rated, or built over rugged terrains have limited speed and
capacity.
Nine revisions in road construction codes, recent ones in 1988, 1997,
2003, and 2014.
Recent revisions in railway design codes in 1985, 1999, 2006, 2012.
Conditional on revision and rate, quality vary by terrain.
Ma and Tang (SMU and NTU) 05-09-23, HKU 6 / 28
16. Data Dataset Construction
Design Speed Depends on Vintage, Rate, and Terrain
Terrains More Railway Design Codes
Revision Plains LRH Hills Mountains Plains LRH Hills Mountains
Highways First-Rate Roads
1988 120 120 100 60 100 100 60 60
1997 120 120 120 60 100 100 60 60
2003 120 120 120 80 100 100 80 80
2014 120 120 120 80 100 100 80 80
(a) Road Standards
Revision Plains LRH Hills Mountains Plains LRH Hills Mountains
National I National II
1985 120 100 80 80 100 80 80 80
1999 140 120 80 80 100 80 80 80
2006 160 140 120 120 120 100 80 80
(b) Railroad Standards, Mixed-Use
Table 1: Design Speed (km/h) of Roads and Railroads by Vintage, Rate, and
Terrain
Ma and Tang (SMU and NTU) 05-09-23, HKU 7 / 28
17. Data Dataset Construction
Identify Year of Construction
For each segment, identify the Year of Construction (YOC).
identify
segment,
1996
compare
to all
segments
in 1994
new
segment
YOC =
94, 95, 96?
collect
other info.
old
segment
information
already
collected
We have national maps in 94, 96, 2000, 2003, etc.
Compare to the previous national map and determine if it is a new
construction.
If new, then determine the YOC from the other sources.
For example, we only have national maps in 1994 and 1996. If a segment
first showed up in 1996, it could be constructed in 1994, 1995, or 1996.
References: Provincial map collections,Transportation Yearbooks,Railroad
Yearbooks,Chronicles of Railroad Construction.
Ma and Tang (SMU and NTU) 05-09-23, HKU 8 / 28
19. Data Dataset Construction
Structure of the Dataset
120 120 120 120 100 100 100 100 120 120 80 80 140 140 140 140
1996 (rev.1985) 2001 (rev.1999) 2004 (rev.1999)
ABC Railway, Mixed-Use, National I
Pixel Level:
Segment Level:
Path Level:
The end result is a pixel-level panel data that identify the design speed at
each pixel in every year, for every mode and usage. Three layers:
The outer-most layer is a “path” that correspond to a named road or
railroad, e.g. Beijing-Shanghai Highway, Longhai Railway, etc.
We identify the name, rate, and usage of a path.
Rate and usage are used to determine the applicable design codes.
Ma and Tang (SMU and NTU) 05-09-23, HKU 10 / 28
20. Data Dataset Construction
Structure of the Dataset
120 120 120 120 100 100 100 100 120 120 80 80 140 140 140 140
1996 (rev.1985) 2001 (rev.1999) 2004 (rev.1999)
ABC Railway, Mixed-Use, National I
Pixel Level:
Segment Level:
Path Level:
A “path” contains several “segments” built over multiple years.
Within a path, segments differ in the year of construction.
In this example, one segment was built in 1996 and was subject to the
1985 revision of the design codes.
The two segments built in 2001 and 2004 were subject to the newer
1999 revision.
Ma and Tang (SMU and NTU) 05-09-23, HKU 10 / 28
21. Data Dataset Construction
Structure of the Dataset
120 120 120 120 100 100 100 100 120 120 80 80 140 140 140 140
1996 (rev.1985) 2001 (rev.1999) 2004 (rev.1999)
ABC Railway, Mixed-Use, National I
Pixel Level:
Segment Level:
Path Level:
A “segment” contains many “pixels” that differ in terrain.
= “plains”, = “low-rolling hills”, and = “hills”.
Using the information on usage, rate, year of construction, and
terrain, we determine the design speed of each pixel, shown in the box
in the unit of “km/h”.
Ma and Tang (SMU and NTU) 05-09-23, HKU 10 / 28
22. Data Dataset Construction
Structure of the Dataset
120 120 120 120 100 100 100 100 120 120 80 80 140 140 140 140
1996 (rev.1985) 2001 (rev.1999) 2004 (rev.1999)
ABC Railway, Mixed-Use, National I
Pixel Level:
Segment Level:
Path Level:
Within a segment, design speed differs due to terrains.
Within a terrain type, design speed differs due to the changes in
applicable technical standards.
From the design speed, we compute the distance between prefectures
i, j in the unit of travel time.
We do this for freight (Tmf
ijt ) and passengers (Tmp
ijt ) separately for
mode m at year t.
Ma and Tang (SMU and NTU) 05-09-23, HKU 10 / 28
23. Data Quality Matters
Result: Changes in Travel Time
The median travel time decline by 31 to 59 percent.
Strongest improvements come from the passenger travel on railroads,
due to HSR.
1995 2000 2005 2010 2015
5
10
15
20
25
30
(a) Road
1995 2000 2005 2010 2015
5
10
15
20
25
30
(b) Railroad, Freight
1995 2000 2005 2010 2015
5
10
15
20
25
30
(c) Railroad, Passenger
Ma and Tang (SMU and NTU) 05-09-23, HKU 11 / 28
24. Data Quality Matters
Quality Matters: First Look at the Data
Ignoring quality measures leads to substantial bias in travel time
estimation:
over-estimating the reduction in travel time on the roads due to
spatial bias.
and under-estimating that on the railroads, due to temporal bias.
0 0.2 0.4 0.6 0.8 1
0
1
2
3
4
5
6
7
8
(d) Road
0 0.2 0.4 0.6 0.8 1
0
1
2
3
4
5
6
7
8
(e) Railway, Freight
0 0.2 0.4 0.6 0.8 1
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
(f) Railway, Passenger
Figure 1: Reduction in Prefecture-Pair Travel Time, 1994 to 2017, Baseline v.s.
Uniform Quality
Ma and Tang (SMU and NTU) 05-09-23, HKU 12 / 28
25. Data Quality Matters
External Validation with the Timetable Data
Does quality-adjustment matter?
Compare the travel time estimations with and without quality
adjustments to the observed timetable data from bus and railroad
service providers.
We do not use any timetable data in constructing our dataset, this
exercise offers an external validation test to check if quality
adjustments matter.
Long-distance bus service timetable in 1999: cross-section.
The railroad timetable in 2002 and 2010: over time.
We compute the prefecture-to-prefecture travel time from the
timetable and then compare to our measures.
Ma and Tang (SMU and NTU) 05-09-23, HKU 13 / 28
26. Data Quality Matters
External Validation with the Timetable Data
Bus Timetable Train Timetable
(1) (2) (3) (4) (5) (6)
Travel Time, Baseline 1.601*** 1.688***
(0.084) (0.292)
Travel Time, Uniform 1.555*** -0.086
(0.084) (0.283)
∆ Travel Time, Baseline 0.215*** 0.228***
(0.023) (0.030)
∆ Travel Time, Uniform 0.255*** -0.071
(0.061) (0.077)
N 1,823 1,823 1,823 534 534 534
Adj.R2 0.667 0.652 0.667 0.143 0.024 0.143
Table 2: External Validation with the Timetable Data
LHS is the observed travel time from timetables. Unit is prefecture-pair.
Both travel time estimates highly correlate with the recorded travel time of the
long-distance buses.
Column (3) runs the horse race, and quality-adjustment matters!
Similar story in Column (6)
Ma and Tang (SMU and NTU) 05-09-23, HKU 14 / 28
27. Structural Exercise
Outline
1 Introduction
2 Data
Dataset Construction
Quality Matters
3 Structural Exercise
Model
Quantification
Results
Ma and Tang (SMU and NTU) 05-09-23, HKU 14 / 28
28. Structural Exercise Model
General Environment
Dynamic migration model from CDP (2019), extended to allow for
multiple modes of transportation and route choices (AA, 2022).
J geographically segmented domestic cities, indexed by j = 1, 2...J,
and an additional ROW denoted as j = 0.
Time is discrete and infinite, indexed as t = 0, 1, 2, ....
Migration is forward-looking, subject to frictions that depend on
passenger transportation and policy barriers.
Ma and Tang (SMU and NTU) 05-09-23, HKU 15 / 28
29. Structural Exercise Model
General Environment
Dynamic migration model from CDP (2019), extended to allow for
multiple modes of transportation and route choices (AA, 2022).
J geographically segmented domestic cities, indexed by j = 1, 2...J,
and an additional ROW denoted as j = 0.
Time is discrete and infinite, indexed as t = 0, 1, 2, ....
Migration is forward-looking, subject to frictions that depend on
passenger transportation and policy barriers.
The direct cost of moving from j to i at time t using mode m, for
passengers (p):
dmp
ijt = ap
· amp
·
Tmp
ijt
hp
, (1)
Tmp
ijt is the distance measured in travel time from our dataset.
Ma and Tang (SMU and NTU) 05-09-23, HKU 15 / 28
30. Structural Exercise Model
The Recursive Migration Problem
vjt = log
φjt
wjt
Pjt
+ max
i,rm∈∪M
m=1Rm
ij
(
δE[vi,t+1] − ¯
dit −
K
X
k=1
dmp
rm
k−1
,rm
k
,t + κ · it,rm
)
,
(2)
Two differences relative to CDP (2019):
1 The dynamic choice set is destination-by-route: i, rm
∈ ∪M
m=1Rm
ij ,
following AA (2022).
2 Migration costs are time-varying and depends on infrastructure
changes.
φjt = φ̄jLβ
jt is the endogenous amenity, wjt/Pjt the real wage, and δ
the discount rate.
κ is the migration elasticity.
¯
dit is the entry barrier, the hukou system.
Ma and Tang (SMU and NTU) 05-09-23, HKU 16 / 28
31. Structural Exercise Model
The Recursive Problem: Solution
Let Vjt ≡ E[vjt] denote the expectation of the continuation value.
The optimization problem defined in equation (2) adopts the same
solution as in CDP, conditional on λijt:
Vjt = log
φjt
wjt
Pjt
+ κ log
J
X
i=1
exp (δVi,t+1 − λijt)1/κ
!
, (3)
λijt is the expected migration costs across all possible modes and
routes from j, conditional on moving to i:
λijt = ¯
dit − κ log
M
X
m=1
X
rm∈Rm
ij
exp
−
PK
k=1 dmp
rm
k−1
,rm
k
,t
κ
. (4)
Solving λijt
The dynamic migration probabilities follow:
µijt =
exp (δVi,t+1 − λijt)1/κ
PJ
i0=1 exp (δVi0,t+1 − λi0jt)1/κ
. (5)
Ma and Tang (SMU and NTU) 05-09-23, HKU 17 / 28
32. Structural Exercise Model
Production and Trade
The production and trade side follows Allen and Arkolakis (2022):
every city is able to produce every variety, ω. Market structure is
perfect competition.
Labor is the only input:
qjt = Ajt`,
Ajt = Ājt (Ljt)α
is the endogenous productivity.
Consumers decide an origin and a route to source each variety. The
direct ad valorem cost from moving from j to i for freight
transportation (f) is:
dmf
ijt = exp
af
· amf
·
Tmf
ijt
hf
, (6)
Moving from i to j through a route rm of K steps incurs a
multiplicative cost of
QK
k=1dmf
rm
k−1,rm
k ,t ≥ 1.
Ma and Tang (SMU and NTU) 05-09-23, HKU 18 / 28
33. Structural Exercise Model
Production Cont’d
Consumers in i face the following price if they source variety ω from
location j through route rm:
pijt,rm (ω) =
wjt
Ajt
QK
k=1 dmf
rm
k−1,rm
k ,t
zijt,rm (ω)
,
zijt,rm (ω) is i.i.d. Frechet shock with a shape parameter θ.
The probability that individuals in i source from j along route rm is:
πijt,rm =
(wjt/Ajt)−θ QK
k=1
dmf
rm
k−1
,rm
k
,t
−θ
PJ
j0=0 wj0t/Aj0t
−θ
τ−θ
ij0t
, (7)
τijt is the expected transportation cost between i and j at time t:
τijt =
M
X
m=1
X
rm∈Rm
ij
K
Y
k=1
dmf
rm
k−1
,rm
k
,t
−θ
− 1
θ
. (8)
Solving τijt
Ma and Tang (SMU and NTU) 05-09-23, HKU 19 / 28
34. Structural Exercise Model
Trade Balance and Equilibrium
Standard trade balance condition holds every period:
wjtLjt =
J
X
i=0
(wjtτijt)−θ
AjLα
jt
θ
PJ
j0=1 wj0tτij0t
−θ
Aj0 Lα
j0t
θ
witLit (9)
The equilibrium:
the time-invariant fundamentals as Ω = {Aj, φ̄j},
the time-variant fundamentals as Ωt = { ¯
djt, Dmp
t , Dmf
t },
and the sequence of endogenous variables as Υt = {wjt, Ljt, Vjt, µjt}.
Standard concept of steady state: Υt = Ῡ, ∀t, and transition path to
a steady state, on which:
1 Individuals maximize their life-time utility by choosing a sequence of
locations so that equations (5) hold.
2 Firms maximize their profits in each period and trade balances, so that
equation (9) holds.
Ma and Tang (SMU and NTU) 05-09-23, HKU 20 / 28
35. Structural Exercise Quantification
Overall Setup
We quantify the model to 291 prefecture cities in China plus 1 region
representing the ROW.
Calibration and estimation done on a 50-year transition path from
1995, t = 1. From 1995 to 2017, we apply the actual transportation
networks and policy.
Assume that the transportation and policy stayed the same after 2017,
and therefore the long-run steady state is the one implied by the 2017
variables.
Do not need to assume that 1995 is in steady state. Instead, year
1995 is on a transition path towards its initial steady state.
The transition path is solved in levels, which allows for flexibility in
choosing the moments in quantification.
Ma and Tang (SMU and NTU) 05-09-23, HKU 21 / 28
36. Structural Exercise Quantification
Externally-Calibrated Parameters
Some parameters are taken from the literature:
name value source notes
α 0.1 Redding and Turner (2015) agglomeration elasticity
β -0.3 Allen and Arkolakis (2022) congestion elasticity
θ 6.2 Allen and Arkolakis (2022) trade elasticity
κ 2.02 Caliendo et al. (2019) migration elasticity
η 6.0 Anderson and van Wincoop (2004) elasticity of substitution
Table 3: External Parameters
Ma and Tang (SMU and NTU) 05-09-23, HKU 22 / 28
37. Structural Exercise Quantification
Two-Layered Nested Estimation
All the other parameters are calibrated and estimated on the
transition path. We adopt a nested estimation strategy.
In the outer layer, we estimate the mode-specific costs and time
elasticity of trade and migration costs using the GMM. These
parameters are Θχ =
{amf
, amp
}M
m=1, hf
, hp
.
details of the outer layer
All the other parameters are jointly-calibrated in the inner layer:
Θ =
n
{Āj, φ̄j}J
j=0, af
, ap
, ψ, τ∗
o
.
details of hukou system details of the inner layer
The inner-layer calibration is done for every guess of Θχ from the
GMM estimation.
Ma and Tang (SMU and NTU) 05-09-23, HKU 23 / 28
38. Structural Exercise Results
Counterfactuals and Outline
Compare between the “baseline” and the “uniform” counterfactual.
The baseline equilibrium uses the quality-adjusted transportation
networks.
The uniform counterfactual uses the travel time ignoring quality
differences of infrastructure across time and space.
Ma and Tang (SMU and NTU) 05-09-23, HKU 24 / 28
39. Structural Exercise Results
Counterfactuals and Outline
Compare between the “baseline” and the “uniform” counterfactual.
The baseline equilibrium uses the quality-adjusted transportation
networks.
The uniform counterfactual uses the travel time ignoring quality
differences of infrastructure across time and space.
In both cases, we start from 1995 and solve the model forward 50
years towards a long-run steady state.
From 1995 to 2017, the actual data. No change after 2017.
Compare the prefecture-level growth rates to gauge the bias
introduced by ignoring quality.
We also use the model and data to evaluate the welfare impacts of
transportation networks. (details in the paper).
In short, better connectivity lowers spatial inequality.
details of baseline
Ma and Tang (SMU and NTU) 05-09-23, HKU 24 / 28
40. Structural Exercise Results
Quality Matters: Magnitude of Error
Ignoring quality leads to errors in prefecture-level growth rates.
The median error in real wage growth rates is 19% to 31%.
Even with some winsorization, the error at the 99th percentile
between 175% and 542%!
Real Wage Growth Rates Output Growth Rates
50th 90th 99th Max 50th 90th 99th Max
T=10 0.33 0.67 5.42 70.30 0.07 0.34 2.68 4.12
T=20 0.21 0.35 3.56 10.69 0.05 0.28 3.59 31.14
Steady State 0.19 0.33 1.75 11.08 0.03 0.31 3.36 13.81
Relative Error ≡ |gi,uniform/gi,baseline − 1|.
Ma and Tang (SMU and NTU) 05-09-23, HKU 25 / 28
41. Structural Exercise Results
Quality Matters: Errors are not Random
The errors are not random: ignoring quality systematically
over-estimates the growth rates in poor locations.
corr = -0.62
(a) Real Wage Growth Rates
corr = -0.49
(b) Output Growth Rates
Figure 2: Absolute Error Against Initial Conditions
Ma and Tang (SMU and NTU) 05-09-23, HKU 26 / 28
42. Structural Exercise Results
Non-Random Errors Leads to Distributional Issues
The distributional impacts of transportation networks are particularly
sensitive to quality measures.
Why? The quality-related measurement errors correlate with the
initial conditions!
100 × β-coef. 100 × ∆ Gini coef. 100 × ∆ std(log)
Baseline Uniform Error Baseline Uniform Error Baseline Uniform Error
T=10 -0.43 -0.60 0.39 -0.18 -0.23 0.29 -0.26 -0.35 0.34
T=20 -0.96 -1.24 0.29 -0.38 -0.46 0.21 -0.57 -0.71 0.24
Steady State -1.14 -1.43 0.25 -0.43 -0.51 0.19 -0.67 -0.81 0.21
Table 4: Relative Errors in Spatial Inequality
Ma and Tang (SMU and NTU) 05-09-23, HKU 27 / 28
43. Structural Exercise Results
Conclusion
We create the first panel dataset on the transportation networks that
accounts for quality differences in China between 1994 and 2017.
The expansion of transportation networks significantly lowered the
average travel time, especially for initially remote locations.
Accounting for quality differences is essential for understanding the
welfare impacts of transportation networks. Ignoring quality could
either under- or over-estimate the changes in transportation networks
and their welfare impacts.
The biases are large and persistent in both structural and reduced-form
exercises.
The biases are non-random, and therefore cannot be interpreted and
dealt with as measurement errors.
Ma and Tang (SMU and NTU) 05-09-23, HKU 28 / 28
45. Appendix
Terrain of China
Back
3 20
200
300
Plains
Low Rolling Hills (LRH)
Hills
Mountains
Slope (degrees)
LER
(meters)
(a) Definition of Terrain (b) Terrain of China
Figure 3: Definition of Terrains, and the Terrain of China
Ma and Tang (SMU and NTU) 05-09-23, HKU 1 / 19
46. Appendix
Railway Design Codes
Back
Codes: Code for Design of Railway Line CDRL (III,IV)1
CDSRLIF2
Revision: 1985 1999 2006 2017 2012 1987
Doc.Number: GBJ90-85 GB50090-99 GB50090-2006 TB10098-2017 GB50012-2012 GBJ12-87
National I:
National II:
National III:
National IV:
Local I:
Local II:
Local III:
Industrial I:
Industrial II:
Industrial III:
Table 5: The Mapping Between Railroad Rates and the Codes of Railroad Design
1
Code for Design of III and IV Rated Railway Line.
2
Code for Design of Standard Railway Line for Industrial Firms.
Ma and Tang (SMU and NTU) 05-09-23, HKU 2 / 19
47. Appendix
List of Maps
Back
Year National Maps Publisher Scale Projection Provincial Map Publisher
1994 Sino Maps 1:6 million Albers, 25N, 47E Sino Maps
1995 N/A Sino Maps
1996 Sino Maps 1:4.5 million Albers, 25N, 47E Global Maps
1997 N/A Global Maps
1998 N/A Xi’an Maps
1999 N/A Xi’an Maps
2000 Sino Maps 1:6 million Albers Xi’an Maps
2001 N/A Xi’an Maps
2002 Sino Maps 1:4.5 million Albers, 25N, 47E Xi’an Maps
2003 Sino Maps 1:6 million Albers, 25N, 47E Xi’an Maps
2004 N/A Xi’an Maps
2005 N/A Xi’an Maps
2006 N/A Hunan Maps
2007 Guangdong Maps 1:6 million Lambert, 24N, 46N, 110E Dizhi
2008 N/A Dizhi
2009 Sino Maps 1:4.5 million Albers, 25N, 47E Renmin Jiaotong
2010 N/A Dizhi
2011 N/A Dizhi
2012 Sino Maps 1:4.5 million Albers, 25N, 47E Dizhi
2013 Sino Maps 1:4.6 million Albers, 25N, 47E Renmin Jiaotong
2014 N/A Sino Maps
2015 N/A Sino Maps
2016 N/A Sino Maps
2017 Sino Maps 1:6 million Albers Sino Maps
Table 6: List of References
Ma and Tang (SMU and NTU) 05-09-23, HKU 3 / 19
49. Appendix
Solution to λijt
Back
Following the methods in Allen and Arkolakis (2022), we can further
express λijt as a function of the transportation networks and policy
barriers:
λijt = ¯
dit − κ log
M
X
m=1
bmp
ijt
!
, (10)
bmp
ijt is the (i, j)th element of the matrix Bmp
t , which is a function of
the observed transportation networks and the parameters of the
model.
Bmp
t ≡ (I − Fmp
t )
−1
=
∞
X
K=0
(Fmp
t )
K
,
Fmp
t ≡
exp −
dmp
ijt
κ
!#
Ma and Tang (SMU and NTU) 05-09-23, HKU 5 / 19
50. Appendix
Solution of τijt
Back
Similar to λijt, we can solve τijt as:
τijt =
M
X
m=1
bmf
ijt
!− 1
θ
.
where bmf
ijt the (i, j)th element of the matrix Bmf
t , which is a function
of the observed freight transportation networks and parameters of the
model:
Bmf
t ≡
∞
X
K=1
Fmf
t
K
=
I − Fmf
t
−1
Fmf
t ≡
dmf
ijt
−θ
.
Ma and Tang (SMU and NTU) 05-09-23, HKU 6 / 19
51. Appendix
Hukou System
Back
We map the entry barrier in the migration frictions, ¯
djt, to the hukou
reform index constructed in Fan (2019).
We extend the index to the 291 prefectures between 1994 and 2017
using the same archives.
Denote the observed hukou index in prefecture j as kjt ≥ 0, we then
model:
¯
djt = exp (ψkjt) .
ψ is a parameter to be estimated.
Ma and Tang (SMU and NTU) 05-09-23, HKU 7 / 19
52. Appendix
Inner-Layer Joint Calibration
Back
name value target notes
{Āj } - output in 1995 fundamental productivity
{φ̄j } - population in 1995 fundamental amenity
af 0.815 internal-trade-to-GDP ratio, 2002 average internal trade costs
ap 5.823 average annual stay rate between 2000 and 2005 average migration costs
τ∗
1.614 average export-to-GDP ratio, 2000 to 2005 international trade barrier
ψ 0.039 average annual stay rate between 2010 and 2015 impacts of hukou reform on ¯
dit
{Āj, φ̄j} come from inverting the model in 1995, following Kleinman
et al. (2021).
ψ captures the impact of hukou reform on internal migration,
conditional on the changes in transportation.
Many target moments are not available in the initial year, but only on
the transition path. Solving the model in levels allows us to utilize
these moments.
Ma and Tang (SMU and NTU) 05-09-23, HKU 8 / 19
53. Appendix
The Outer Layer GMM: Moments, Freight
Back
The first set of moments is the average share of freight traffic that
goes through the road, rail, and waterway networks each year across
prefectures.
Observed in the statistical yearbooks.
These moments capture {amf
}M
m=1. Normalize ariver,f
= 1.
The share of sales from j via mode m is the weighted average of
pair-specific shares across destinations:
smf
jt =
J
X
i=1
bmf
ijt
PM
m0=1 bm0f
ijt
!
Xijt
Xjt
. (11)
The moment condition is the vector of average shares across
prefecture each year between 1995 and 2017:
nPJ
j=1 smf
jt /J
o23
t=1
.
Ma and Tang (SMU and NTU) 05-09-23, HKU 9 / 19
54. Appendix
The Outer Layer GMM: Moments, Passenger
Back
The second set of moments is for passenger flows. These moments
capture {amp
}M
m=1. Again, normalize ariver,p
= 1.
The share of population flow from j to all the other prefectures via
mode m can be computed similarly as:
smp
jt =
J
X
i=1
bmp
ijt
PM
m0=1 bm0p
ijt
!
Lijt
Ljt
, (12)
The associated moment condition is
nPJ
j=1 smp
jt /J
o23
t=1
.
The asymmetry in the migration costs and entry barriers do not affect
the choice of transportation mode because the route/mode choice is
conditional on a destination location.
Ma and Tang (SMU and NTU) 05-09-23, HKU 10 / 19
55. Appendix
The Outer Layer GMM: Moments, CV
Back
The last set of moments is the coefficient of variations (CV) for
traffic volumes. They capture the time elasticities {hf
, hp
}, the
parameters that control the variations in τijt and λijt conditional on
{Tmχ
t }.
As hχ declines, the trade or migration costs matrix becomes uniform
and less dependent on the underlying geography summarized in
{Tmχ
t }.
The resulting variations in trade or migration traffic across prefecture
will decline, leading to a smaller CV.
Ma and Tang (SMU and NTU) 05-09-23, HKU 11 / 19
56. Appendix
The Outer Layer GMM: Moments, CV
Back
The last set of moments is the coefficient of variations (CV) for
traffic volumes. They capture the time elasticities {hf
, hp
}, the
parameters that control the variations in τijt and λijt conditional on
{Tmχ
t }.
As hχ declines, the trade or migration costs matrix becomes uniform
and less dependent on the underlying geography summarized in
{Tmχ
t }.
The resulting variations in trade or migration traffic across prefecture
will decline, leading to a smaller CV.
The moment conditions are the vectors of the average CV across
prefecture each year between 1995 and 2017:
PJ
j=1 CVf
jt
J
23
t=1
and
PJ
j=1 CVp
jt
J
23
t=1
.
Ma and Tang (SMU and NTU) 05-09-23, HKU 11 / 19
57. Appendix
GMM
Back
Denote the 92 moment conditions in the data as the vector S̄ to
estimate 6 parameters, and the counter-parts in the model as:
S (Θχ
) =
(PJ
j=1 smf
jt
J
,
PJ
j=1 smp
jt
J
,
PJ
j=1 CVf
jt
J
,
PJ
j=1 CVp
jt
J
)23
t=1
.
The GMM estimator finds Θχ to minimize the distance between the
data and the model moments:
min
Θχ
S̄ − S (Θχ
)
W
S̄ − S (Θχ
)
0
,
W is the optimal weighting matrix, which is the inverse of the
variance-covariance matrix of the data moments S̄, computed by
bootstrapping the data.
Ma and Tang (SMU and NTU) 05-09-23, HKU 12 / 19
58. Appendix
Estimation Results
Back
-3 -2.5 -2 -1.5 -1 -0.5 0 0.5
-3
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
Figure 4: Goodness-of-Fit, GMM
Ma and Tang (SMU and NTU) 05-09-23, HKU 13 / 19
59. Appendix
Estimation Results
Back
name value s.e. notes
a1,f
0.875 0.003 road costs, freight
a2,f
1.052 0.020 rail costs, freight
hf
0.050 0.010 time elasticity, freight
a1,p
0.889 0.028 road costs, passenger
a2,p
1.208 0.039 rail costs, passenger
hp
0.200 0.016 time elasticity, passenger
Table 7: Parameters, Estimated
Ma and Tang (SMU and NTU) 05-09-23, HKU 14 / 19
60. Appendix
Baseline and No-Change Equilibrium
Back
Compare the steady states and transition paths between the
“baseline” and the “no-change” counterfactual.
In both cases, we start from 1995 and solve the model forward 50
years towards a long-run steady state.
Ma and Tang (SMU and NTU) 05-09-23, HKU 15 / 19
61. Appendix
Baseline and No-Change Equilibrium
Back
Compare the steady states and transition paths between the
“baseline” and the “no-change” counterfactual.
In both cases, we start from 1995 and solve the model forward 50
years towards a long-run steady state.
The baseline equilibrium is the same transition path that we used to
estimate the model.
From 1995 to 2017, the actual data. No change in transportation and
policy after 2017.
The steady state implied by the variables in 2017.
Ma and Tang (SMU and NTU) 05-09-23, HKU 15 / 19
62. Appendix
Baseline and No-Change Equilibrium
Back
Compare the steady states and transition paths between the
“baseline” and the “no-change” counterfactual.
In both cases, we start from 1995 and solve the model forward 50
years towards a long-run steady state.
The baseline equilibrium is the same transition path that we used to
estimate the model.
From 1995 to 2017, the actual data. No change in transportation and
policy after 2017.
The steady state implied by the variables in 2017.
The no-change counter-factual:
Fix the transportation networks and policy to those in 1995.
The steady state implied by the variables in 1995.
Ma and Tang (SMU and NTU) 05-09-23, HKU 15 / 19
63. Appendix
Results: Aggregate and Dynamic Impacts
Back
The expansion of transportation networks increases long-run output
by about 60%.
1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
1
1.01
1.02
1.03
1.04
1.05
1.06
1.07
1.08
Ma and Tang (SMU and NTU) 05-09-23, HKU 16 / 19
64. Appendix
Results: Aggregate and Dynamic Impacts
Back
Return to trade liberalization is immediate but wanes in the long-run.
By 2017, almost all the benefit comes from goods transportation.
1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
1
1.01
1.02
1.03
1.04
1.05
1.06
1.07
1.08
Ma and Tang (SMU and NTU) 05-09-23, HKU 16 / 19
65. Appendix
Results: Aggregate and Dynamic Impacts
Back
Return to migration liberalization could be negative in the short-run
but grows over time.
1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
1
1.01
1.02
1.03
1.04
1.05
1.06
1.07
1.08
Ma and Tang (SMU and NTU) 05-09-23, HKU 16 / 19
66. Appendix
Delayed Return to Migration Liberalization
Back
The short-run negative return to migration liberalization comes from
the delayed movements towards more productive locations.
People expect better infrastructure and policy in the future, and thus
they prolong their stay in the less productive prefectures.
1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
8.5
8.6
8.7
8.8
8.9
9
9.1
9.2
9.3
9.4
9.5
(a) Top 10% Productive Locations
1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
4.5
5
5.5
6
6.5
7
(b) Bottom 10% Productive Locations
Figure 5: The Dynamic Response to Migration Liberalization
Ma and Tang (SMU and NTU) 05-09-23, HKU 17 / 19
67. Appendix
Results: Distributional Impacts
Back
β-convergence between 1995 and the long-run steady state in 2044.
Without the expansion of the network, the spatial inequality would
have stayed the same over time.
-1.5 -1 -0.5 0 0.5 1 1.5 2 2.5
-0.04
-0.02
0
0.02
0.04
0.06
0.08
Baseline beta = -0.0114
No Change beta = -0.0023
Ma and Tang (SMU and NTU) 05-09-23, HKU 18 / 19
68. Appendix
Internal Trade as an Equalizer
Back
Reduction in τ explains about 80% of the regional convergence.
Changes λ is responsible for about 9%, and statistically insignificant.
-1.5 -1 -0.5 0 0.5 1 1.5 2 2.5
-0.02
0
0.02
0.04
0.06
0.08
0.1
beta = -0.0109
s.e. = 0.0039
(a) τ only
-1.5 -1 -0.5 0 0.5 1 1.5 2 2.5
-0.05
-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0.04
0.05
beta = -0.0027
s.e. = 0.0014
(b) λ only
Figure 6: The distributional impacts of trade and migration liberalization
Ma and Tang (SMU and NTU) 05-09-23, HKU 19 / 19
69. References
Alder, Simon, Michael Zheng Song, and Zhitao Zhu, “Unequal
Returns to China’s Intercity Road Network,” 2021. working paper.
Allen, Treb and Costas Arkolakis, “The Welfare Effects of
Transportation Infrastructure Improvements,” The Review of Economic
Studies, 02 2022.
and Dave Donaldson, “The geography of path dependence,”
Technical Report, working paper 2018.
Anderson, James E. and Eric van Wincoop, “Trade Costs,” Journal of
Economic Literature, September 2004, 42 (3), 691–751.
Artuc, Erhan, Shubham Chaudhuri, and John McLaren, “Trade
Shocks and Labor Adjustment: A Structural Empirical Approach,” The
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Asher, Sam and Paul Novosad, “Rural Roads and Local Economic
Development,” American Economic Review, March 2020, 110 (3),
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Baum-Snow, Nathaniel, J. Vernon Henderson, Matthew A. Turner,
Qinghua Zhang, and Loren Brandt, “Does investment in national
Ma and Tang (SMU and NTU) 05-09-23, HKU 19 / 19
70. References
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Economics, 2020.
Berg, Claudia N., Brian Blankespoor, and Harris Selod, “Roads and
Rural Development in Sub-Saharan Africa,” The Journal of
Development Studies, 2018, 54 (5), 856–874.
Caliendo, Lorenzo, Maximiliano Dvorkin, and Fernando Parro,
“Trade and Labor Market Dynamics: General Equilibrium Analysis of
the China Trade Shock,” Econometrica, 2019, pp. 741–835.
Donaldson, Dave and Richard Hornbeck, “ Railroads and American
Economic Growth: A “Market Access” Approach *,” The Quarterly
Journal of Economics, 02 2016, 131 (2), 799–858.
Fan, Jingting, “Internal Geography, Labor Mobility, and the Distributional
Impacts of Trade,” American Economic Journal: Macroeconomics,
2019, 11 (3), 252–88.
, Yi Lu, and Wenlan Luo, “Valuing Domestic Transport Infrastructure:
A View from the Route Choice of Exporters,” The Review of Economics
and Statistics, 08 2021, pp. 1–46.
Ma and Tang (SMU and NTU) 05-09-23, HKU 19 / 19
71. References
Jedwab, Rémi and Adam Storeygard, “The Average and
Heterogeneous Effects of Transportation Investments: Evidence from
Sub-Saharan Africa 1960–2010,” Journal of the European Economic
Association, 06 2021, 20 (1), 1–38.
Kleinman, Benny, Ernest Liu, and Stephen J Redding, “Dynamic
Spatial General Equilibrium,” Working Paper 29101, National Bureau of
Economic Research July 2021.
Ma, Lin and Yang Tang, “Geography, trade, and internal migration in
China,” Journal of Urban Economics, 2020, 115, 103181.
Redding, Stephen J. and Matthew A. Turner, “Chapter 20 -
Transportation Costs and the Spatial Organization of Economic
Activity,” in Gilles Duranton, J. Vernon Henderson, and William C.
Strange, eds., Handbook of Regional and Urban Economics, Vol. 5 of
Handbook of Regional and Urban Economics, Elsevier, 2015, pp. 1339 –
1398.
Tombe, Trevor and Xiaodong Zhu, “Trade, Migration, and
Productivity: A Quantitative Analysis of China,” American Economic
Review, May 2019, 109 (5), 1843–72.
Ma and Tang (SMU and NTU) 05-09-23, HKU 19 / 19
72. Appendix
Xu, Mingzhi, “Riding on the new silk road: Quantifying the welfare gains
from high-speed railways,” 2017.
Ma and Tang (SMU and NTU) 05-09-23, HKU 19 / 19