SlideShare una empresa de Scribd logo
1 de 22
Descargar para leer sin conexión
Public Transports in Data Age


                 Too much data, not enough knowledge




Teresa Galvão Dias -FEUP
 Dezembro 2011
Citizens mobility is a major problem

Cities are increasing very fast which
demands a well structured plan for
mobility and transportation planning.


Transportation and traffic issues are
major concerns for governments,
authorities and municipalities.


Promoting the use of public transports is
vital for environmental sustainability and
to reduce carbon emissions.




2
The Data Age
• Data has became central to all activities and
  business areas.


• Concerning mobility and transports, data may
  come from different data sources, with different
  owners, providers and users.


• Mobility and Transport Data is
› dispersed
› complex
› Valuable


    There is some gap between the amount of data and information available
    and the knowledge that we can extract from it.



3
Data sources
Raw data
› GPS data
› Mobile data
› Sensor data
› Publicly available planning data (e.g., GTFS)


Proprietary systems
› GIS (Geographic Information Systems)
› Operational Planning Decision Support Systems
› Fleet Management Systems
› Fleet Maintenance Systems
› Ticketing Systems
› ERP Systems




4
Data providers

Who owns the data?
› Public transport operators
› Transport authorities
› Government organizations


Who has access to the data?
› Software houses
› Public transport operators...   sometimes…


Who will provide the data?
› Data owners...                  however…
› Software houses ….              however…




5
Data users
All these data is useful to:         What for?


• Politicians                        • Defining the offer
• Urban planners and policy makers   • Understanding the demand
                                     • Income distribution among operators


                                     • Resources planning and management
• Public Transport Operators         • Controlling the operations
                                     • Evaluating the operation



• Passengers and Citizens            • Public Information




6
Public Transport new challenges

Better resource planning allows the
company to control costs and to offer
a better service.


Passengers are more and more
exigent concerning public transport
services.


Updated and real time passenger
information promotes the use of
public transports




7
Resource planning
Current trends




Solutions        Information    Interaction
› Interactive    › Integrated   › Good Usability
› Smart          › Consistent   › GUI based
› Robust         › Online       › Flexibility
› Fast




8
Passenger Information
Current trends




Mobility                           Information                      Technology
› Flexibility (customization:      › Integrated                     › Geo-referenced data (GIS)
    paths, timetables, vehicles)
                                   › Intelligent                    › Position (GPS)
› Integration (intermodality)
                                   › Interactive                    › Portability (smartphones)
› Environment (consumption,
    air, noise)                    › Visual (graphics, map based)   › Mobile (GSM, Wi-Fi, Bluetooth,
                                                                       infrareds, ...)
                                   › Online
                                                                    › Informatics (processors,
                                                                       graphics)



9
SOME EXAMPLES
     IN PLANNING AND SCHEDULING


10
Optimization and Transportation Planning



Planning and scheduling
GIST 3 – Network module




11
Optimization and Transportation Planning



Planning and scheduling
GIST 3 - Vehicle and driver scheduling




12
Optimization and Transportation Planning



Operations Control
GESBUS




13
SOME EXAMPLES
     IN PASSENGER INFORMATION


14
Optimization and Transportation Planning



SMSBUS ® - Real Time Information with Text Messages
› 40.000 messages a day during
  initial month of free usage
     (4.000, after 0.20€ cost).
› 2005: 1st prize IV Fórum Telecom
  “Public Services of Information”.
› 2006: 1st prize Deloitte/Diário
  Económico “Electronic Services




15
Optimization and Transportation Planning



INFOBOARD: real time information using large displays
for Porto Metropolitan Area




16
Optimization and Transportation Planning



INFOBOARD: real time information using large displays
for Porto Metropolitan Area




17
Optimization and Transportation Planning



SPIDER MAPS
Automatic production of
Spider Map Posters
› Schematic maps with all bus
  routes available from one
  specific area
› An optimization approach
  being applied in partnership
  with FWT, UK
› It is already being used by
  STCP (Porto) and Carris
  (Lisbon) but it can be
  extended to a metropolitan
  area




18
Optimization and Transportation Planning



Move-me.com - Real time multimodal route planner
     Internet Application   ANDROID System




19
Optimization and Transportation Planning



www.rotapartilhada.com - carpooling web platform




20
Too much data, not enough knowledge

There is a huge amount of data collected by heterogeneous data sources that
are successfully used for specific purposes.
However, to take full advantage of the available data there is the need of:


› Systems INTEGRATION
› COLLABORATION among operators and organizations
› POLITICAL commitment
› Resources QUALIFICATION




21
Conclusions
A new era requires innovative solutions for
public transport services.


Most of these solutions involve complex
problems often requiring intelligent
approaches.


Solid knowledge and innovative ideas for
transport planning and public information are
needed.


Political and institutional commitment play a
major role in this new generation of products
and services.




22

Más contenido relacionado

La actualidad más candente

Cities2.0 Ict2008 Daniel Kaplan
Cities2.0 Ict2008 Daniel KaplanCities2.0 Ict2008 Daniel Kaplan
Cities2.0 Ict2008 Daniel Kaplan
ACIDD
 
Free and Sustainable Mobility in the Connected City
Free and Sustainable Mobility in the Connected CityFree and Sustainable Mobility in the Connected City
Free and Sustainable Mobility in the Connected City
Fing
 
Big data analytics for transport
Big data analytics for transportBig data analytics for transport
Big data analytics for transport
UKinItaly
 
Smart Urban Planning
Smart Urban PlanningSmart Urban Planning
Smart Urban Planning
Dedagroup
 

La actualidad más candente (20)

Innovations in London's Transport: Big Data for a Better Customer Service
Innovations in London's Transport: Big Data for a Better Customer ServiceInnovations in London's Transport: Big Data for a Better Customer Service
Innovations in London's Transport: Big Data for a Better Customer Service
 
COH GIS POC
COH GIS POCCOH GIS POC
COH GIS POC
 
Big data and public transport
Big data and public transportBig data and public transport
Big data and public transport
 
Transportation service innovation through big data
Transportation service innovation through big data Transportation service innovation through big data
Transportation service innovation through big data
 
Municipal Spatial Solutions Infrastructure
Municipal Spatial Solutions InfrastructureMunicipal Spatial Solutions Infrastructure
Municipal Spatial Solutions Infrastructure
 
CK2017: Karnataka GIS - A GoK Initiative towards g-Governance
CK2017: Karnataka GIS - A GoK Initiative towards g-Governance CK2017: Karnataka GIS - A GoK Initiative towards g-Governance
CK2017: Karnataka GIS - A GoK Initiative towards g-Governance
 
Living Land Use - Telecom Big Data Challenge - Trento ICT Days 2014
Living Land Use - Telecom Big Data Challenge - Trento ICT Days 2014Living Land Use - Telecom Big Data Challenge - Trento ICT Days 2014
Living Land Use - Telecom Big Data Challenge - Trento ICT Days 2014
 
Big data Europe the transport pilot in Thessaloniki - Josep Maria Salanova
Big data Europe the transport pilot in Thessaloniki - Josep Maria SalanovaBig data Europe the transport pilot in Thessaloniki - Josep Maria Salanova
Big data Europe the transport pilot in Thessaloniki - Josep Maria Salanova
 
CK2017: Regulatory Challenges in Urban Mobility - The Road Ahead
CK2017: Regulatory Challenges in Urban Mobility - The Road AheadCK2017: Regulatory Challenges in Urban Mobility - The Road Ahead
CK2017: Regulatory Challenges in Urban Mobility - The Road Ahead
 
GIS Arena
GIS ArenaGIS Arena
GIS Arena
 
Margus Tiru: Positium LBS - Applying new methods in analyses of location and...
Margus Tiru: Positium LBS - Applying new methods in analyses  of location and...Margus Tiru: Positium LBS - Applying new methods in analyses  of location and...
Margus Tiru: Positium LBS - Applying new methods in analyses of location and...
 
Cities2.0 Ict2008 Daniel Kaplan
Cities2.0 Ict2008 Daniel KaplanCities2.0 Ict2008 Daniel Kaplan
Cities2.0 Ict2008 Daniel Kaplan
 
Free and Sustainable Mobility in the Connected City
Free and Sustainable Mobility in the Connected CityFree and Sustainable Mobility in the Connected City
Free and Sustainable Mobility in the Connected City
 
Policy of Smart City Development in Hong Kong
Policy of Smart City Development in Hong KongPolicy of Smart City Development in Hong Kong
Policy of Smart City Development in Hong Kong
 
Big data analytics for transport
Big data analytics for transportBig data analytics for transport
Big data analytics for transport
 
CK2017: Unified Geospatial Centre to Manage Cities Better
CK2017: Unified Geospatial Centre to Manage Cities Better CK2017: Unified Geospatial Centre to Manage Cities Better
CK2017: Unified Geospatial Centre to Manage Cities Better
 
Smart Urban Planning
Smart Urban PlanningSmart Urban Planning
Smart Urban Planning
 
Application of Geographical concepts and Spatial Technology to the “Internet ...
Application of Geographical concepts and Spatial Technology to the “Internet ...Application of Geographical concepts and Spatial Technology to the “Internet ...
Application of Geographical concepts and Spatial Technology to the “Internet ...
 
SMART Infrastructure Business and Policy Dialogue Event: Smart planning for s...
SMART Infrastructure Business and Policy Dialogue Event: Smart planning for s...SMART Infrastructure Business and Policy Dialogue Event: Smart planning for s...
SMART Infrastructure Business and Policy Dialogue Event: Smart planning for s...
 
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
 

Destacado (10)

Ads 2016 2
Ads 2016 2Ads 2016 2
Ads 2016 2
 
Best friend
Best friendBest friend
Best friend
 
T1 email
T1 emailT1 email
T1 email
 
He128 best cities_28
He128 best cities_28He128 best cities_28
He128 best cities_28
 
Film reviews
Film reviewsFilm reviews
Film reviews
 
He128 complain p13
He128 complain p13He128 complain p13
He128 complain p13
 
He131 unwanted things
He131 unwanted thingsHe131 unwanted things
He131 unwanted things
 
Telling stories writing
Telling stories writingTelling stories writing
Telling stories writing
 
Email expressions he136
Email expressions he136Email expressions he136
Email expressions he136
 
L'aparell circulatori
L'aparell circulatoriL'aparell circulatori
L'aparell circulatori
 

Similar a Public transports in data age

Big data: uncovering new mobility patterns and redefining planning practices
Big data: uncovering new mobility patterns and redefining planning practicesBig data: uncovering new mobility patterns and redefining planning practices
Big data: uncovering new mobility patterns and redefining planning practices
Mickael Pero
 
Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...
GovLoop
 

Similar a Public transports in data age (20)

Open Data policy implementations: Creating economic value
Open Data policy implementations: Creating economic valueOpen Data policy implementations: Creating economic value
Open Data policy implementations: Creating economic value
 
ITS World - Enabling Seamless Mobility
ITS World - Enabling Seamless MobilityITS World - Enabling Seamless Mobility
ITS World - Enabling Seamless Mobility
 
FIWARE Tech Summit - City Enabler - Changing the Way to Give Value to Your Da...
FIWARE Tech Summit - City Enabler - Changing the Way to Give Value to Your Da...FIWARE Tech Summit - City Enabler - Changing the Way to Give Value to Your Da...
FIWARE Tech Summit - City Enabler - Changing the Way to Give Value to Your Da...
 
Hyperconnected Travel and Transport in Action
Hyperconnected Travel and Transport in ActionHyperconnected Travel and Transport in Action
Hyperconnected Travel and Transport in Action
 
The role of open data in driving sustainable mobility in nine smart cities
The role of open data in driving sustainable mobility in nine smart citiesThe role of open data in driving sustainable mobility in nine smart cities
The role of open data in driving sustainable mobility in nine smart cities
 
Data City | Data Nation Launch
Data City | Data Nation Launch Data City | Data Nation Launch
Data City | Data Nation Launch
 
Transport for Cairo (TfC)
Transport for Cairo (TfC)Transport for Cairo (TfC)
Transport for Cairo (TfC)
 
Big data: uncovering new mobility patterns and redefining planning practices
Big data: uncovering new mobility patterns and redefining planning practicesBig data: uncovering new mobility patterns and redefining planning practices
Big data: uncovering new mobility patterns and redefining planning practices
 
Multi Layer GIS Platform in Digital India - Mr. Vishnu Chandra
Multi Layer GIS Platform in Digital India - Mr. Vishnu ChandraMulti Layer GIS Platform in Digital India - Mr. Vishnu Chandra
Multi Layer GIS Platform in Digital India - Mr. Vishnu Chandra
 
Data science courses in Germany 3.pptx12
Data science courses in Germany 3.pptx12Data science courses in Germany 3.pptx12
Data science courses in Germany 3.pptx12
 
The Role of Big Data and IoT in Urban Transport
The Role of Big Data and IoT in Urban TransportThe Role of Big Data and IoT in Urban Transport
The Role of Big Data and IoT in Urban Transport
 
the role of Big data and IoT in urban Transport
the role of Big data and IoT in urban Transportthe role of Big data and IoT in urban Transport
the role of Big data and IoT in urban Transport
 
Mapping mobility Piyushimita Thakuriah
Mapping mobility Piyushimita ThakuriahMapping mobility Piyushimita Thakuriah
Mapping mobility Piyushimita Thakuriah
 
Using gamification to generate citizen input for public transport planning
Using gamification to generate citizen input for public transport planningUsing gamification to generate citizen input for public transport planning
Using gamification to generate citizen input for public transport planning
 
Keolis World Mobility Report booklet
Keolis World Mobility Report bookletKeolis World Mobility Report booklet
Keolis World Mobility Report booklet
 
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...
 
James Wong - Open data in transport, St.Petersburg
James Wong - Open data in transport, St.PetersburgJames Wong - Open data in transport, St.Petersburg
James Wong - Open data in transport, St.Petersburg
 
Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...
 
Bright talk dovu
Bright talk dovuBright talk dovu
Bright talk dovu
 
TFF2023 - Navigating Tourism Data Nexus
TFF2023 - Navigating Tourism Data NexusTFF2023 - Navigating Tourism Data Nexus
TFF2023 - Navigating Tourism Data Nexus
 

Último

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Último (20)

🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 

Public transports in data age

  • 1. Public Transports in Data Age Too much data, not enough knowledge Teresa Galvão Dias -FEUP Dezembro 2011
  • 2. Citizens mobility is a major problem Cities are increasing very fast which demands a well structured plan for mobility and transportation planning. Transportation and traffic issues are major concerns for governments, authorities and municipalities. Promoting the use of public transports is vital for environmental sustainability and to reduce carbon emissions. 2
  • 3. The Data Age • Data has became central to all activities and business areas. • Concerning mobility and transports, data may come from different data sources, with different owners, providers and users. • Mobility and Transport Data is › dispersed › complex › Valuable There is some gap between the amount of data and information available and the knowledge that we can extract from it. 3
  • 4. Data sources Raw data › GPS data › Mobile data › Sensor data › Publicly available planning data (e.g., GTFS) Proprietary systems › GIS (Geographic Information Systems) › Operational Planning Decision Support Systems › Fleet Management Systems › Fleet Maintenance Systems › Ticketing Systems › ERP Systems 4
  • 5. Data providers Who owns the data? › Public transport operators › Transport authorities › Government organizations Who has access to the data? › Software houses › Public transport operators... sometimes… Who will provide the data? › Data owners... however… › Software houses …. however… 5
  • 6. Data users All these data is useful to: What for? • Politicians • Defining the offer • Urban planners and policy makers • Understanding the demand • Income distribution among operators • Resources planning and management • Public Transport Operators • Controlling the operations • Evaluating the operation • Passengers and Citizens • Public Information 6
  • 7. Public Transport new challenges Better resource planning allows the company to control costs and to offer a better service. Passengers are more and more exigent concerning public transport services. Updated and real time passenger information promotes the use of public transports 7
  • 8. Resource planning Current trends Solutions Information Interaction › Interactive › Integrated › Good Usability › Smart › Consistent › GUI based › Robust › Online › Flexibility › Fast 8
  • 9. Passenger Information Current trends Mobility Information Technology › Flexibility (customization: › Integrated › Geo-referenced data (GIS) paths, timetables, vehicles) › Intelligent › Position (GPS) › Integration (intermodality) › Interactive › Portability (smartphones) › Environment (consumption, air, noise) › Visual (graphics, map based) › Mobile (GSM, Wi-Fi, Bluetooth, infrareds, ...) › Online › Informatics (processors, graphics) 9
  • 10. SOME EXAMPLES IN PLANNING AND SCHEDULING 10
  • 11. Optimization and Transportation Planning Planning and scheduling GIST 3 – Network module 11
  • 12. Optimization and Transportation Planning Planning and scheduling GIST 3 - Vehicle and driver scheduling 12
  • 13. Optimization and Transportation Planning Operations Control GESBUS 13
  • 14. SOME EXAMPLES IN PASSENGER INFORMATION 14
  • 15. Optimization and Transportation Planning SMSBUS ® - Real Time Information with Text Messages › 40.000 messages a day during initial month of free usage (4.000, after 0.20€ cost). › 2005: 1st prize IV Fórum Telecom “Public Services of Information”. › 2006: 1st prize Deloitte/Diário Económico “Electronic Services 15
  • 16. Optimization and Transportation Planning INFOBOARD: real time information using large displays for Porto Metropolitan Area 16
  • 17. Optimization and Transportation Planning INFOBOARD: real time information using large displays for Porto Metropolitan Area 17
  • 18. Optimization and Transportation Planning SPIDER MAPS Automatic production of Spider Map Posters › Schematic maps with all bus routes available from one specific area › An optimization approach being applied in partnership with FWT, UK › It is already being used by STCP (Porto) and Carris (Lisbon) but it can be extended to a metropolitan area 18
  • 19. Optimization and Transportation Planning Move-me.com - Real time multimodal route planner Internet Application ANDROID System 19
  • 20. Optimization and Transportation Planning www.rotapartilhada.com - carpooling web platform 20
  • 21. Too much data, not enough knowledge There is a huge amount of data collected by heterogeneous data sources that are successfully used for specific purposes. However, to take full advantage of the available data there is the need of: › Systems INTEGRATION › COLLABORATION among operators and organizations › POLITICAL commitment › Resources QUALIFICATION 21
  • 22. Conclusions A new era requires innovative solutions for public transport services. Most of these solutions involve complex problems often requiring intelligent approaches. Solid knowledge and innovative ideas for transport planning and public information are needed. Political and institutional commitment play a major role in this new generation of products and services. 22