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Evaluating PublicTransport with
Accessibility Indicators in
Conveyal Analysis
Anson Stewart, PhD
Project Lead, Analysis and Research
@conveyal | conveyal.com/analysis
Overview
• Locational accessibility indicators
• Conveyal Analysis
• Editing scenarios
• Evaluating scenarios
• Matching employment types
• Reliability
Locational accessibility indicators
• Transportation is means to an end
• Cumulative opportunity and gravity metrics
• Accessibility indicators can foster more
sustainable outcomes but are not yet been
widely implemented in practice
Hansen (1959)
Black and Conroy (1977)
Handy and Niemeier (1997)
Papa et al. (2016)
Boisjoly and El-Geneidy (2017)
Locational accessibility indicators
• Policy relevance
• Online communication
• ao.umn.edu
• tfl.gov.uk/webcat
Hansen (1959)
Black and Conroy (1977)
Handy and Niemeier (1997)
Papa et al. (2016)
Boisjoly and El-Geneidy (2017)
Overview
• Locational accessibility indicators
• Conveyal Analysis
• Editing scenarios
• Evaluating scenarios
• Matching employment types
• Reliability
Probabilistic approaches to accessibility
measurement
• Accessibility by transit is subject to
variation and uncertainty
• Variation due to departure time
• Uncertainty due to
“underspecified” scenarios
• Conveyal Analysis
• 200m grid cells
• Complete-journey travel times
for every possible departure
minute over a specified window
• Monte Carlo simulation when
explicit timetables are not
specified
Conway, Byrd, and van der Linden (2017)
Conway, Byrd, and van Eggermond (under review)
Open,cloud-basedsoftwarefor rapidscenario
modificationandevaluation
conveyal/analysis-backend
Data management on cloud-
computing clusters
conveyal/analysis-ui
Browser-based interface for
scenario editing and evaluation
Accessibility and travel
time results
Transit
modifications
Transit schedules
(GTFS)
Road network
(OpenStreetMap)
Land-use data
(e.g. LEHD, shapefiles)
conveyal/r5
Multimodal routing engine
Selected origins
and routing options
Travel times from origin to all
potential destinations
Baseline
data
Open,cloud-basedsoftwarefor rapidscenario
modificationandevaluation
conveyal/analysis-backend
Data management on cloud-
computing clusters
conveyal/analysis-ui
Browser-based interface for
scenario editing and evaluation
Accessibility and travel
time results
Transit
modifications
Transit schedules
(GTFS)
Road network
(OpenStreetMap)
Land-use data
(e.g. LEHD, shapefiles)
conveyal/r5
Multimodal routing engine
Selected origins
and routing options
Travel times from origin to all
potential destinations
Baseline
data
conveyal/taui
MITtransportanalyst/coaxs-react
Other interfaces for wider
communication
Stewart and Zegras (2016)
Stewart (2017)
Overview
• Locational accessibility indicators
• Conveyal Analysis
• Editing scenarios
• Evaluating scenarios
• Matching employment types
• Reliability
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Overview
• Locational accessibility indicators
• Conveyal Analysis
• Editing scenarios
• Evaluating scenarios
• Matching employment types
• Reliability
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Overview
• Locational accessibility indicators
• Conveyal Analysis
• Editing scenarios
• Evaluating scenarios
• Matching employment types
• Reliability
The most accessible job in Greater London is within a 45-minute
commute (walking + public transport) of 1,813,144 workers
23
The median job in Greater London is within a 45-minute commute
(walking + public transport) of 712,753 workers
24
Unsurprisingly, industries with firms that tend to locate centrally have
higher accessibility to the overall workforce.
25
0
5
10
15
20
PercentofJobsinIndustry
Thousand workers within 45-minute commute
Distribution of Accessibility to Workforce
Finance
Manufacturing
Such firms may also benefit from an additional connectivity advantage
based on their workers’ residential location patterns.
26
Percent of Workforce reachable
(within 45 minutes via walking
and transit) by industry
AllWorkers
Manufacturing
Workers
InformationWorkers
Finance
Workers
HealthcareWorkers
All Employers 18%
Manufacturing Employers 10% 10%
Information Employers 25% 31%
Finance Employers 37% 46%
Healthcare Employers 14% 13%
Adv -1% 25% 26% -6%
• Workplaces with high wage/high
qualification jobs tend to be
centrally located, and related
employees tend to reside in
highly accessible locations.
• Thick labor markets have
agglomeration benefits related
to, but potentially distinct from,
“effective density” benefits
currently included in DfT
Transport Appraisal Guidance
Overview
• Locational accessibility indicators
• Conveyal Analysis
• Editing scenarios
• Evaluating scenarios
• Matching employment types
• Reliability
Accessibility-based reliability indicators
• “Ring of unreliability”
(Cui and Levinson 2016)
• Percent difference between real-
time and actual access scores
(Wessel, Allen, and Farber 2017)
Anson Stewart - Conveyal Accessibility Tool
Anson Stewart - Conveyal Accessibility Tool
Evaluating PublicTransport with
Accessibility Indicators in
Conveyal Analysis
Anson Stewart, PhD
Project Lead, Analysis and Research
@conveyal | conveyal.com/analysis

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Anson Stewart - Conveyal Accessibility Tool

  • 1. Evaluating PublicTransport with Accessibility Indicators in Conveyal Analysis Anson Stewart, PhD Project Lead, Analysis and Research @conveyal | conveyal.com/analysis
  • 2. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  • 3. Locational accessibility indicators • Transportation is means to an end • Cumulative opportunity and gravity metrics • Accessibility indicators can foster more sustainable outcomes but are not yet been widely implemented in practice Hansen (1959) Black and Conroy (1977) Handy and Niemeier (1997) Papa et al. (2016) Boisjoly and El-Geneidy (2017)
  • 4. Locational accessibility indicators • Policy relevance • Online communication • ao.umn.edu • tfl.gov.uk/webcat Hansen (1959) Black and Conroy (1977) Handy and Niemeier (1997) Papa et al. (2016) Boisjoly and El-Geneidy (2017)
  • 5. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  • 6. Probabilistic approaches to accessibility measurement • Accessibility by transit is subject to variation and uncertainty • Variation due to departure time • Uncertainty due to “underspecified” scenarios • Conveyal Analysis • 200m grid cells • Complete-journey travel times for every possible departure minute over a specified window • Monte Carlo simulation when explicit timetables are not specified Conway, Byrd, and van der Linden (2017) Conway, Byrd, and van Eggermond (under review)
  • 7. Open,cloud-basedsoftwarefor rapidscenario modificationandevaluation conveyal/analysis-backend Data management on cloud- computing clusters conveyal/analysis-ui Browser-based interface for scenario editing and evaluation Accessibility and travel time results Transit modifications Transit schedules (GTFS) Road network (OpenStreetMap) Land-use data (e.g. LEHD, shapefiles) conveyal/r5 Multimodal routing engine Selected origins and routing options Travel times from origin to all potential destinations Baseline data
  • 8. Open,cloud-basedsoftwarefor rapidscenario modificationandevaluation conveyal/analysis-backend Data management on cloud- computing clusters conveyal/analysis-ui Browser-based interface for scenario editing and evaluation Accessibility and travel time results Transit modifications Transit schedules (GTFS) Road network (OpenStreetMap) Land-use data (e.g. LEHD, shapefiles) conveyal/r5 Multimodal routing engine Selected origins and routing options Travel times from origin to all potential destinations Baseline data conveyal/taui MITtransportanalyst/coaxs-react Other interfaces for wider communication
  • 9. Stewart and Zegras (2016) Stewart (2017)
  • 10. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  • 15. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  • 22. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  • 23. The most accessible job in Greater London is within a 45-minute commute (walking + public transport) of 1,813,144 workers 23
  • 24. The median job in Greater London is within a 45-minute commute (walking + public transport) of 712,753 workers 24
  • 25. Unsurprisingly, industries with firms that tend to locate centrally have higher accessibility to the overall workforce. 25 0 5 10 15 20 PercentofJobsinIndustry Thousand workers within 45-minute commute Distribution of Accessibility to Workforce Finance Manufacturing
  • 26. Such firms may also benefit from an additional connectivity advantage based on their workers’ residential location patterns. 26 Percent of Workforce reachable (within 45 minutes via walking and transit) by industry AllWorkers Manufacturing Workers InformationWorkers Finance Workers HealthcareWorkers All Employers 18% Manufacturing Employers 10% 10% Information Employers 25% 31% Finance Employers 37% 46% Healthcare Employers 14% 13% Adv -1% 25% 26% -6% • Workplaces with high wage/high qualification jobs tend to be centrally located, and related employees tend to reside in highly accessible locations. • Thick labor markets have agglomeration benefits related to, but potentially distinct from, “effective density” benefits currently included in DfT Transport Appraisal Guidance
  • 27. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  • 28. Accessibility-based reliability indicators • “Ring of unreliability” (Cui and Levinson 2016) • Percent difference between real- time and actual access scores (Wessel, Allen, and Farber 2017)
  • 31. Evaluating PublicTransport with Accessibility Indicators in Conveyal Analysis Anson Stewart, PhD Project Lead, Analysis and Research @conveyal | conveyal.com/analysis

Notas del editor

  1. Research that I started in grad school at MIT, using software developed by Matt Conway and others at Conveyal Now continuing in my role at Conveyal
  2. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  3. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  4. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  5. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  6. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  7. By end of 2018, goal is…
  8. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  9. Adjust speed
  10. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  11. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  12. Holistic measures Take into account network effectsOld concept, recommended for years, now facilitated by rapid computation Probabilistic approach
  13. Cutting-edge research Moving into practice, user-friendly web-based tools
  14. Research that I started in grad school at MIT, using software developed by Matt Conway and others at Conveyal Now continuing in my role at Conveyal