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A flexible framework for measuring accessibility with destination bundling

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  • Klumpenhouwer, Willem
  • Huang, Wei

Abstract

A transit system's usefulness is governed by the freedom it provides to those who use it. This freedom, typically quantified as accessibility, is proportional to the amount and variety of destinations available to a potential transit user. Often, transit systems are designed with the commuter in mind; employment is a typical stand-in measure for all destinations when measuring accessibility in a city. This paper proposes a framework to “bundle” destination types into a more comprehensive profile of accessibility. The framework is flexible enough to adapt to local conditions and data availability, and provides a potential planner with the ability to tell a more nuanced story of transit accessibility in a city. Using population, employment, and crowd-sourced destination data in Calgary, Canada, we perform a comparison of destination bundling approach to find that the relative level of access to destinations varies greatly with the bundle of destinations used. We also analyze correlations between quality of access to destinations, suggesting that certain destinations can act as substitutes for others, and that using destinations with low correlations in their quality of access increases the results' sensitivity to the transit network. As this approach uses open data sources available in most jurisdictions, it can be easily applied to different urban areas, destination sets, and accessibility measures to tell a more comprehensive story of transit accessibility in cities.

Suggested Citation

  • Klumpenhouwer, Willem & Huang, Wei, 2021. "A flexible framework for measuring accessibility with destination bundling," Journal of Transport Geography, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:jotrge:v:91:y:2021:i:c:s0966692321000028
    DOI: 10.1016/j.jtrangeo.2021.102949
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    References listed on IDEAS

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    1. Mengying Cui & David Levinson, 2020. "Multi-Activity Access: How Activity Choice Affects Opportunity," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    2. Antonio Páez & Ruben Gertes Mercado & Steven Farber & Catherine Morency & Matthew Roorda, 2010. "Relative Accessibility Deprivation Indicators for Urban Settings: Definitions and Application to Food Deserts in Montreal," Urban Studies, Urban Studies Journal Limited, vol. 47(7), pages 1415-1438, June.
    3. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
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    1. Maghrour Zefreh, Mohammad & Saif, Muhammad Atiullah & Esztergár-Kiss, Domokos & Torok, Adam, 2023. "A data-driven decision support tool for public transport service analysis and provision," Transport Policy, Elsevier, vol. 135(C), pages 82-90.
    2. Da Silva, Diego & Klumpenhouwer, Willem & Karner, Alex & Robinson, Mitchell & Liu, Rick & Shalaby, Amer, 2022. "Living on a fare: Modeling and quantifying the effects of fare budgets on transit access and equity," Journal of Transport Geography, Elsevier, vol. 101(C).
    3. Yingying Xu & Ho-Yin Chan & Anthony Chen & Xintao Liu, 2022. "Walk this way: Visualizing accessibility and mobility in metro station areas on a 3D pedestrian network," Environment and Planning B, , vol. 49(4), pages 1331-1335, May.
    4. Itani, Alaa & Klumpenhouwer, Willem & Shalaby, Amer & Hemily, Brendon, 2024. "Guiding principles for integrating on-demand transit into conventional transit networks: A review of literature and practice," Transport Policy, Elsevier, vol. 147(C), pages 183-197.

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