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A time interval metric for cumulative opportunity accessibility

Author

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  • Tomasiello, Diego Bogado
  • Santos, Daniel Herszenhut Meirelles
  • Oliveira, João Lucas Albuquerque
  • Braga, Carlos Kaue Vieira
  • Pereira, Rafael H. M.

Abstract

Cumulative accessibility measures allow one to estimate the number of opportunities that can be reached within a given travel time threshold. They have become the most commonly used metric in transport research and planning because of how simple it makes to calculate and communicate accessibility results. However, cumulative opportunity measures require an ad-hoc choice of a single travel time threshold, which can importantly influence the conclusions of transport project evaluations and equity analyses. In this paper, we introduce the time interval cumulative accessibility measure, a new accessibility metric that mitigates the impacts of arbitrary choices of trip duration on cumulative accessibility analyses while keeping its computation and communicability advantages. The proposed indicator estimates the average or the median number of opportunities that can be reached considering multiple minute-by-minute travel time cutoffs within a given travel time interval. We demonstrate the new metric in a case study assessing how a planned subway expansion will likely impact employment accessibility in Fortaleza, Brazil. Using sensitivity analyses with Monte Carlo simulations, we demonstrate that the selection of travel time thresholds can substantially bias the results of accessibility levels and that such biases are not evenly distributed in space, having important implications for equity analyses. We also show that the proposed time interval cumulative opportunity metric makes the results of accessibility estimates and inequality analyses significantly less sensitive to ad-hoc methodological choices while yielding results that are very similar to those found with traditional threshold-based cumulative measures. Future accessibility-oriented transport research and planning could greatly benefit from the way in which the proposed time interval cumulative opportunity measure provides more robust accessibility estimates without compromising the communicability of results.

Suggested Citation

  • Tomasiello, Diego Bogado & Santos, Daniel Herszenhut Meirelles & Oliveira, João Lucas Albuquerque & Braga, Carlos Kaue Vieira & Pereira, Rafael H. M., 2022. "A time interval metric for cumulative opportunity accessibility," SocArXiv ux5ah, Center for Open Science.
    • Handle: RePEc:osf:socarx:ux5ah
    DOI: 10.31219/osf.io/ux5ah
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    References listed on IDEAS

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    1. Birch, Colin P.D. & Oom, Sander P. & Beecham, Jonathan A., 2007. "Rectangular and hexagonal grids used for observation, experiment and simulation in ecology," Ecological Modelling, Elsevier, vol. 206(3), pages 347-359.
    2. Kapatsila, Bogdan & Palacios, Manuel Santana & Grisé, Emily & El-Geneidy, Ahmed, 2023. "Resolving the accessibility dilemma: Comparing cumulative and gravity-based measures of accessibility in eight Canadian cities," Journal of Transport Geography, Elsevier, vol. 107(C).
    3. Klar, Ben & Lee, Jinhyung & Long, Jed A. & Diab, Ehab, 2023. "The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches," Journal of Transport Geography, Elsevier, vol. 106(C).
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    2. Javanmard, Reyhane & Lee, Jinhyung & Kim, Kyusik & Park, Jinwoo & Diab, Ehab, 2024. "Evaluating the impacts of supply-demand dynamics and distance decay effects on public transit project assessment: A study of healthcare accessibility and inequalities," Journal of Transport Geography, Elsevier, vol. 116(C).

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