01371137

Component

Anecdotal and empirical evidence has shown that road networks, destination accessibility, and travelers' destination choice 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 uses the ArcGIS network analyst tool to analyze travelers' interactions with road network structure and clustering of services around the destination. Multinomial logit models are further adopted to examine individuals' destination choice. The results reveal that higher accessibility and diversity of services in adjacent zones of a destination make the destination more attractive. Further, accessibility and diversity of establishments in a walking zone are often highly correlated. In terms of network structure, a destination reached via a more circuitous or discontinuous route dampens its appeal. Answering where people drive to and why they go there, our findings shed light on the design of road networks and clusters from travel behavior's perspective.

This paper was sponsored by TRB committee ABJ30 Urban Transportation Data and Information Systems

01362476

12-3611

English

17p

2012

Transportation Research Board 91st Annual Meeting

Digital/other

Figures; References; Tables

Accessibility; Geographic information systems; Global Positioning System; Multinomial logits; Shopping trips; Travel behavior; Walking

Data and Information Technology; Highways; I71: Traffic Theory

Transportation Research Board Annual Meeting 2012 Paper #12-3611

TRIS, TRB

Feb 8 2012 5:18PM