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Anson Stewart - Conveyal Accessibility Tool

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Anson Stewart - Conveyal Accessibility Tool

  1. 1. Evaluating PublicTransport with Accessibility Indicators in Conveyal Analysis Anson Stewart, PhD Project Lead, Analysis and Research @conveyal | conveyal.com/analysis
  2. 2. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  3. 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. 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. 5. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  6. 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. 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. 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. 9. Stewart and Zegras (2016) Stewart (2017)
  10. 10. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  11. 11. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  12. 12. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  13. 13. The most accessible job in Greater London is within a 45-minute commute (walking + public transport) of 1,813,144 workers 23
  14. 14. The median job in Greater London is within a 45-minute commute (walking + public transport) of 712,753 workers 24
  15. 15. 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
  16. 16. 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
  17. 17. Overview • Locational accessibility indicators • Conveyal Analysis • Editing scenarios • Evaluating scenarios • Matching employment types • Reliability
  18. 18. 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)
  19. 19. Evaluating PublicTransport with Accessibility Indicators in Conveyal Analysis Anson Stewart, PhD Project Lead, Analysis and Research @conveyal | conveyal.com/analysis

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