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The impact of residential neighborhood type on travel behavior: A structural equations modeling approach

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Author Info
Patricia L. Mokhtarian () (Department of Civil and Environmental Engineering, One Shields Avenue, University of California, Davis, CA 95616, USA)
Michael N. Bagley () (South Texas Community College, P.O. Box 9701, McAllen, TX 78502-9701, USA)

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Abstract

Using a system of structural equations, this paper empirically examines the relationship of residential neighborhood type to travel behavior, incorporating attitudinal, lifestyle, and demographic variables. Data on these variables were collected from residents of five neighborhoods in the San Francisco Bay Area in 1993 (final N=515), including "traditional" and "suburban" as well as mixtures of those two extremes. A conceptual model of the interrelationships among the key variables of interest was operationalized with a nine-equation structural model system. The nine endogenous variables included two measures of residential location type, three measures of travel demand, three attitudinal measures, and one measure of job location.

In terms of both direct and total effects, attitudinal and lifestyle variables had the greatest impact on travel demand among all the explanatory variables. By contrast, residential location type had little impact on travel behavior. This is perhaps the strongest evidence to date supporting the speculation that the association commonly observed between land use configuration and travel patterns is not one of direct causality, but due primarily to correlations of each of those variables with others. In particular, the results suggest that when attitudinal, lifestyle, and sociodemographic variables are accounted for, neighborhood type has little influence on travel behavior.

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Publisher Info
Article provided by Springer in its journal The Annals of Regional Science.

Volume (Year): 36 (2002)
Issue (Month): 2 ()
Pages: 279-297
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Handle: RePEc:spr:anresc:v:36:y:2002:i:2:p:279-297

Note: Received: March 2001/Accepted: October 2001
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Related research
Keywords:

Find related papers by JEL classification:
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
R14 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Land Use Patterns

Cited by:
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  1. Metin Senbil & Ryuichi Kitamura & Jamilah Mohamad, 2009. "Residential location, vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas," Transportation, Springer, vol. 36(3), pages 325-350, May. [Downloadable!] (restricted)
  2. Veronique Van Acker & Frank Witlox, 2005. "Exploring the relationship between land-use system and travel behaviour - some first findings," ERSA conference papers ersa05p601, European Regional Science Association. [Downloadable!]
  3. Taede Tillema & Bert Van Wee & Tom De Jong, 2003. "Road pricing from a geographical perspective: a literature review and implications for research into accessibility," ERSA conference papers ersa03p77, European Regional Science Association. [Downloadable!]
  4. Tudor Bodea & Laurie Garrow & Michael Meyer & Catherine Ross, 2008. "Explaining obesity with urban form: a cautionary tale," Transportation, Springer, vol. 35(2), pages 179-199, March. [Downloadable!] (restricted)
  5. Jie Lin & Liang Long, 2008. "What neighborhood are you in? Empirical findings of relationships between household travel and neighborhood characteristics," Transportation, Springer, vol. 35(6), pages 739-758, November. [Downloadable!] (restricted)
  6. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September. [Downloadable!] (restricted)
  7. Joachim Scheiner & Christian Holz-Rau, 2007. "Travel mode choice: affected by objective or subjective determinants?," Transportation, Springer, vol. 34(4), pages 487-511, July. [Downloadable!] (restricted)
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