Abstract: Transportation analysts have long recognized a role for the environment in travel behavior; techniques for incorporating the built environment into travel research remain in active development. This study uses multiple environmental representations to model automobile ownership and travel decisions with a single data set and model structure to test relationships already reported in the literature and to lay the foundation for extending this framework to additional travel modeling. Simple environmental measures, indices generated by factor analysis, and a neighborhood typology derived from cluster analysis of the factors, along with common household measures, are used to find the factors to provide information about travel that the clusters and direct measures do not. Automobile ownership and trips showed the expected relationships, with the former sensitive to sociodemographic factors and the latter sensitive also to the environment. Modes related differently to environmental factors; specifically, walk trips were strongly associated with accessibility and walkability, whereas drive trips were insensitive to these factors but were associated with other factors.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 36
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