Accessibility, Network Structure, and Consumers' Destination Choice: a GIS Analysis of GPS Travel Data

Abstract

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.

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