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Modeling experienced accessibility for utility-maximizers and regret-minimizers
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
2011 (English)In: Journal of Transport Geography, ISSN 0966-6923, Vol. 19, no 6, 1155-1162 p.Article in journal (Refereed) Published
Abstract [en]

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 Logsurn 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.

Place, publisher, year, edition, pages
2011. Vol. 19, no 6, 1155-1162 p.
Keyword [en]
Accessibility, Logsum, Experienced-utility, Decision-utility, Random Regret Minimization
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-83810DOI: 10.1016/j.jtrangeo.2011.02.009ISI: 000299148900010ScopusID: 2-s2.0-79959662822OAI: diva2:500614
QC 20120213Available from: 2012-02-13 Created: 2012-02-13 Last updated: 2012-02-13Bibliographically approved

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