A model of two-destination choice in trip chains with GPS data

Arthur Huang and David Levinson

No 145, Working Papers from University of Minnesota: Nexus Research Group

Abstract: Studying trip chaining behavior has been a challenging endeavor which requires the support of microscopic travel data. New insights can be gained given real-time GPS travel data. This research introduces a framework that considers two-destination choice in the context of home-based trip chains. We propose and empirically compare three alternatives of building choice sets where we consider various relationships of the two destinations (such as major-minor destinations, selecting one first, and select- ing two concurrently). Our choice set formation alternatives use survival models to determine the selection probability of a destination. Our results reveal that trip chaining behavior is shaped by the features of retail clusters, spatial patterns of clusters, transportation networks, and the axis of travel. This research supports our hypothesis that not only the spatial relationship but also the land use relationship of the destinations in a trip chain affect the decision making process.

Keywords: GPS data; trip chaining; axis of travel; destination choice (search for similar items in EconPapers)
JEL-codes: R14 R41 R42 (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-dcm, nep-geo, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in Journal of Choice Modeling (2017) 24C, 51-62.

Downloads: (external link)
http://hdl.handle.net/11299/180070 First version, 2016 (application/pdf)

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Journal Article: A model of two-destination choice in trip chains with GPS data (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:multidestinationchoice

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