The impact of residential density on vehicle usage and energy consumption
AbstractWe specify and estimate a joint model of residential density, vehicle use, and fuel consumption that accounts for both self selection effects and missing data that are related to the endogenous variables. Our model is estimated on the California subsample of the 2001 U.S. National Household Travel Survey (NHTS). Comparing two California households that are similar in all respects except residential density, a lower density of 1000 housing units per square mile (roughly 40% of the weighted sample average) implies an increase of 1200 miles driven per year (4.8%) and 65 more gallons of fuel used per household (5.5%). This total effect of residential density on fuel usage is decomposed into two paths of influence. Increased mileage leads to a difference of 45 gallons, but there is an additional direct effect of density through lower fleet fuel economy of 20 gallons per year, a result of vehicle type choice.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Urban Economics.
Volume (Year): 65 (2009)
Issue (Month): 1 (January)
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/622905
Residential density Vehicle use Vehicle fuel consumption Simultaneous equations Self-selection;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- J. A. Hausman, 1976.
"Specification Tests in Econometrics,"
185, Massachusetts Institute of Technology (MIT), Department of Economics.
- Fang, Hao Audrey, 2008. "A discrete-continuous model of households' vehicle choice and usage, with an application to the effects of residential density," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 736-758, November.
- Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
- Matthew E. Kahn, 2000. "The environmental impact of suburbanization," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 569-586.
- Kevin A. Bryan & Brian D. Minton & Pierre-Daniel G. Sarte, 2007. "The evolution of city population density in the United States," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 341-360.
- Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.