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Modeling experienced accessibility for utility-maximizers and regret-minimizers

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  • Chorus, Caspar G.
  • de Jong, Gerard C.

Abstract

This paper argues that there is a discrepancy between what Logsum-measures of accessibility aim to measure (experienced-utility) and what they actually measure (decision-utility). The latter type of utility refers to the evaluation of an alternative with the aim of making a decision, while the former refers to the evaluation of a chosen alternative after the choice has been made. We argue that accessibility should preferably be conceptualized and operationalized in terms of experienced-utility, but that this type of utility is difficult to measure. Motivated by these observations we show, taking the Logsum as a starting point, how its building blocks (parameters estimated from choice patterns) can be used to construct closed-form and easy to compute accessibility-measures that provide an approximation of experienced-utility. We distinguish between decision-making based on utility-maximization and regret-minimization premises. Using a small-scale case-study building on departure time-choice data, we illustrate the working of the developed accessibility-measures and highlight how they differ from the Logsum-approach.

Suggested Citation

  • Chorus, Caspar G. & de Jong, Gerard C., 2011. "Modeling experienced accessibility for utility-maximizers and regret-minimizers," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1155-1162.
    • Handle: RePEc:eee:jotrge:v:19:y:2011:i:6:p:1155-1162
    DOI: 10.1016/j.jtrangeo.2011.02.009
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    5. Hasnine, Md Sami & Graovac, Ana & Camargo, Felipe & Habib, Khandker Nurul, 2019. "A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit," Journal of Transport Geography, Elsevier, vol. 74(C), pages 313-320.
    6. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
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    8. Pot, Felix Johan & van Wee, Bert & Tillema, Taede, 2021. "Perceived accessibility: What it is and why it differs from calculated accessibility measures based on spatial data," Journal of Transport Geography, Elsevier, vol. 94(C).
    9. Caspar Chorus, 2011. "Random Regret Minimization: An Overview of Model Properties and Empirical Evidence," Transport Reviews, Taylor & Francis Journals, vol. 32(1), pages 75-92, July.
    10. Mengying Cui & David Levinson, 2019. "Measuring Full Cost Accessibility by Auto," Working Papers 2019-02, University of Minnesota: Nexus Research Group.
    11. Xu, Wangtu (Ato) & Li, Yongling & Wang, Hui, 2016. "Transit accessibility for commuters considering the demand elasticities of distance and transfer," Journal of Transport Geography, Elsevier, vol. 56(C), pages 138-156.
    12. Chorus, Caspar G., 2012. "Logsums for utility-maximizers and regret-minimizers, and their relation with desirability and satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1003-1012.
    13. Sunghoon Jang & Soora Rasouli & Harry Timmermans, 2017. "Incorporating psycho-physical mapping into random regret choice models: model specifications and empirical performance assessments," Transportation, Springer, vol. 44(5), pages 999-1019, September.
    14. Feixiong Liao & Bert van Wee, 2017. "Accessibility measures for robustness of the transport system," Transportation, Springer, vol. 44(5), pages 1213-1233, September.
    15. Innocenti, Alessandro & Lattarulo, Patrizia & Pazienza, Maria Grazia, 2013. "Car stickiness: Heuristics and biases in travel choice," Transport Policy, Elsevier, vol. 25(C), pages 158-168.
    16. van Cranenburgh, Sander & Guevara, Cristian Angelo & Chorus, Caspar G., 2015. "New insights on random regret minimization models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 91-109.
    17. Mara Thiene & Marco Boeri & Caspar Chorus, 2012. "Random Regret Minimization: Exploration of a New Choice Model for Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(3), pages 413-429, March.
    18. Chorus, Caspar & van Cranenburgh, Sander & Dekker, Thijs, 2014. "Random regret minimization for consumer choice modeling: Assessment of empirical evidence," Journal of Business Research, Elsevier, vol. 67(11), pages 2428-2436.
    19. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.
    20. Guoqiang Shen & Zhangye Wang & Long Zhou & Yu Liu & Xiaoyi Yan, 2020. "Home-Based Locational Accessibility to Essential Urban Services: The Case of Wake County, North Carolina, USA," Sustainability, MDPI, vol. 12(21), pages 1-21, November.

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