Urban Form, Individual Spatial Footprints, and Travel: Examination of Space-Use Behavior
Physical planning can benefit from deeper insight into the space-use options that individuals have. This paper examines how individuals’ uses of space are related to urban form factors at their residences, after controlling for traffic congestion, weather, and individual or household characteristics. The behavioral data analyzed came from the 2006 Greater Triangle Region Travel Study in North Carolina. Individuals’ uses of space were measured by daily activity space—the minimum convex polygon that contains all the daily activity locations—and daily travel distance, and were estimated by the use of spatial regression models. The results showed that the residents of densely developed neighborhoods with more retail stores and better-connected streets generally have a smaller area of daily activity space and a shorter daily travel distance. In addition, urban form factors were compared in terms of their importance in explaining individuals’ space-use behavior. It was found that retail mix and street connectivity are key factors relating to individuals’ uses of space, whereas building density was less important. The findings shed light on possible land use solutions toward the better coordination of services in space.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/160630.aspx
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Authors:
- Fan, Yingling
- Khattak, Asad J
- Publication Date: 2008
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 98-106
- Monograph Title: Travel Behavior Analysis 2008
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2082
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Connectivity; Daily; Land use; Land use planning; Neighborhoods; Retail trade; Travel behavior; Travel patterns; Travel surveys; Trip length
- Uncontrolled Terms: Spatial regression models; Urban form
- Geographic Terms: North Carolina
- Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01099521
- Record Type: Publication
- ISBN: 9780309125994
- Files: TRIS, TRB, ATRI
- Created Date: May 21 2008 7:08AM