The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX |
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Authors: | Xinyu Cao Susan L Handy Patricia L Mokhtarian |
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Institution: | (1) Department of Civil and Environmental Engineering and Department of Statistics, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA;(2) Department of Environmental Science and Policy and Institute of Transportation Studies, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA;(3) Department of Civil and Environmental Engineering and Institute of Transportation Studies, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA |
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Abstract: | Pedestrian travel offers a wide range of benefits to both individuals and society. Planners and public health officials alike
have been promoting policies that improve the quality of the built environment for pedestrians: mixed land uses, interconnected
street networks, sidewalks and other facilities. Whether such policies will prove effective remains open to debate. Two issues
in particular need further attention. First, the impact of the built environment on pedestrian behavior may depend on the
purpose of the trip, whether for utilitarian or recreational purposes. Second, the connection between the built environment
and pedestrian behavior may be more a matter of residential location choice than of travel choice. This study aims to provide
new evidence on both questions. Using 1368 respondents to a 1995 survey conducted in six neighborhoods in Austin, TX, two
separate negative binomial models were estimated for the frequencies of strolling trips and pedestrian shopping trips within
neighborhoods. We found that although residential self-selection impacts both types of trips, it is the most important factor
explaining walking to a destination (i.e. for shopping). After accounting for self-selection, neighborhood characteristics
(especially perceptions of these characteristics) impact strolling frequency, while characteristics of local commercial areas
are important in facilitating shopping trips. |
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Keywords: | attitude derived demand land use negative binomial regression pedestrian travel behavior walking |
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