Abstract
Assessing the impact of characteristics of the built environment on travel behavior can yield valuable tools for land use and transportation planning. Of particular interest are planning models that can estimate the effects of ‘smart growth’ planning. In this paper, a post-processor method of quantifying and searching for relationships among many aspects of travel behavior and the built environment is developed and applied to the Buffalo, NY area. A wide scope of travel behavior is examined, and over 50 variables, many of which are based on high-detail data sources, are examined for potentially quantifying the built environment. Linear modeling is then used to relate travel behavior and the built environment, and the resulting models may be applied in a post-processor fashion to travel models to provide some measure of sensitivity to built environment modifications. The study’s findings demonstrate that mode choice is highly correlated to measures of the built environment, and that many of the principles of smart growth appear to be a valid way to encourage non-vehicle travel. Home-based VHT and VMT appear to be affected by the built environment to a lesser degree.
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References
Bento, A.M., Cropper, M.L., Mobarak, A.M., Vinha, K.: The effects of urban spatial structure on travel demand in the United States. Rev. Econ. Stat. 87(3), 466–478 (2005)
Cao, X., Mokhtarian, P., Handy, S.: The relationship between the built environment and nonwork travel: a case study of Northern California. Transp. Res. A 43(5), 548–559 (2009)
Cervero, R., Kockelman, K.: Travel demand and the 3Ds: density, diversity, and design. Transp. Res. D 2(3), 199–219 (1997)
Crane, R., Crepeau, R.: Does neighborhood design influence travel? A behavioral analysis of travel diary and GIS data. Transp. Res. D 3(4), 225–238 (1998)
DKS Associates: Assessment of local models and tools for analyzing smart-growth strategies. Prepared for the California Department of Transportation. http://www.dot.ca.gov/newtech/researchreports/reports/2007/local_models_tools.pdf (2007). Accessed 2 March 2011
Environmental Systems Research Institute (ESRI), Inc.: ArcGIS. ArcMap 9.3 Using ArcInfo License, 2008. ESRI, Redlands (2008)
Faraway, J.: Package “faraway”: functions and datasets for books by Julian Faraway. R package version 1.0.4. http://cran.r-project.org/web/packages/faraway/faraway.pdf (2009). Accessed 2 March 2011
Greenwald, M.J.: The relationship between land use and trip internalization behaviors. Transp. Res. D 11(6), 432–446 (2006)
Lumley, L.: Package “leaps”: regression subset selection. R package version 2.9. http://cran.r-project.org/web/packages/leaps/leaps.pdf (2009). Accessed 2 March 2011
Mallows, C.L.: Some comments on Cp. Technometrics 15, 661–675 (1973)
Mokhtarian, P.L., Cao, X.: Examining the impacts of residential self-selection on travel behavior: a focus on methodologies. Transp. Res. B 42(3), 204–228 (2008)
Naess, P.: Residential self-selection and appropriate control variables in land use: travel studies. Transp. Rev. 29(3), 293–324 (2009)
NuStats: 2002 Regional transportation survey, survey methodology report. Prepared for Greater Buffalo-Niagara Regional Transportation Council (2002)
Rajamani, J., Bhat, C., Handy, S., Knaap, G., Song, Y.: Assessing the impact of urban form measures on non-work trip mode choice after controlling for demographic and level-of-service effects. Transp. Res. Rec. 1831, 158–165 (2003)
The R Foundation for Statistical Computing: R: A Language and Environment for Statistical Computing. Vienna, Austria. ISBN 3-900051-07-0. http://www.r-project.org (2010). Accessed 2 March 2011
Van Acker, V., Witlox, F., Van Wee, B.: The effects of the land use system on travel behavior: a structural equation modeling approach. Transp. Plan. Technol. 30(4), 331–353 (2007)
Vance, C., Hedel, R.: The impact of urban form on automobile travel: disentangling causation from correlation. Transportation 34, 575–588 (2007)
Zhang, M.: Travel choice with no alternative: can land use reduce automobile dependence? J. Plan. Educ. Res. 25(3), 311–326 (2006)
Zhou, B., Kockelman, K.: Self-selection in home choice: use of treatment effects in evaluating the relationship between the built environment and travel behavior. Transp. Res. Rec. 2077, 54–61 (2008)
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Funding for this research has been provided jointly by the New York State Energy and Research Development Authority (NYSERDA) and by the New York State Department of Transportation (NYSDOT). The authors thank NYSERDA and NYSDOT for their support, and in particular Mr. Joseph Tario of NYSERDA, and Mr. Gary Frederick of NYSDOT. The authors also thank Hal Morse and the GBNRTC staff for providing the data needed for this research.
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Tracy, A.J., Su, P., Sadek, A.W. et al. Assessing the impact of the built environment on travel behavior: a case study of Buffalo, New York. Transportation 38, 663–678 (2011). https://doi.org/10.1007/s11116-011-9337-x
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DOI: https://doi.org/10.1007/s11116-011-9337-x