Non-work Vehicle Trip Generation from Multi- week In-vehicle GPS Data

Arthur Huang and David Levinson

No 95, Working Papers from University of Minnesota: Nexus Research Group

Abstract: Anecdotal and empirical evidence has shown that road networks, destination accessibility, and travelers' choice of destination are closely related. Nevertheless, there have not been systematic investigations linking individuals' travel behavior and retail clusters at the microscopic level. Based on GPS travel data in the Twin Cities, this paper analyzes the impacts of travelers' interactions with road network structure and clustering of services at the destination on travelers' destination choice. A multinomial logit model is adopted. The results reveal that higher accessibility and diversity of services in adjacent zones of a destination are associated with greater attractiveness of a destination. Further, the diversity and accessibility of establishments in an area are often highly correlated. In terms of network structure, a destination with a more circuitous or discontinuous route dampens its appeal. Answering where and why people choose to patronize certain places, our planning, our findings shed light on the design of road networks and clusters from a travel behavior perspective.

Keywords: travel behavior; destination choice; accessibility; GIS analysis; GPS travel data; road networks (search for similar items in EconPapers)
JEL-codes: L22 R30 (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-dcm, nep-geo, nep-net, nep-tur and nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Published in Applications of Access (2021), editor David Levinson and Alireza Ermagun. Chapter 12, pp. 215-236

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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:retaildestinations

DOI: 10.25910/Z07C-KX08

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