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Title: Quantifying the relative contribution of factors to household vehicle miles of travel

Abstract

Household vehicle miles of travel (VMT) has been exhibiting a steady growth in post-recession years in the United States and has reached record levels in 2017. With transportation accounting for 27 percent of greenhouse gas emissions, planning professionals are increasingly seeking ways to curb vehicular travel to advance sustainable, vibrant, and healthy communities. Although there is considerable understanding of the various factors that influence household vehicular travel, there is little knowledge of their relative contribution to explaining variance in household VMT. This paper presents a holistic analysis to identify the relative contribution of socio-economic and demographic characteristics, built environment attributes, residential self-selection effects, and social and spatial dependency effects in explaining household VMT production. The modeling framework employs a simultaneous equations model of residential location (density) choice and household VMT generation. The analysis is performed using household travel survey data from the New York metropolitan region. Model results showed insignificant spatial dependency effects, with socio-demographic variables explaining 33 percent, density (as a key measure of built environment attributes) explaining 12 percent, and self-selection effects explaining 11 percent of the total variance in the logarithm of household VMT. The remaining 44 percent remains unexplained and attributable to omitted variables and unobservedmore » idiosyncratic factors, calling for further research in this domain to better understand the relative contribution of various drivers of household VMT.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [6]
  1. Univ. of Texas, Austin, TX (United States)
  2. Univ. of Texas, Austin, TX (United States); Univ. de Concepcion, Concepcion (Chile)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  4. Arizona State Univ., Tempe, AZ (United States)
  5. Univ. of Texas, Austin, TX (United States); Hong Kong Polytechnic Univ., Kowloon (Hong Kong)
  6. Georgia Inst. of Technology, Atlanta, GA (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
U.S. Department of Transportation (DOT)
OSTI Identifier:
1439554
Report Number(s):
NREL/JA-5400-71654
Journal ID: ISSN 1361-9209
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Transportation Research. Part D, Transport and Environment
Additional Journal Information:
Journal Volume: 63; Journal Issue: C; Journal ID: ISSN 1361-9209
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; vehicle miles of travel (VMT); demographic effects; built environment effects; residential self-selection; social-spatial dependence

Citation Formats

Singh, Abhilash C., Astroza, Sebastian, Garikapati, Venu M., Pendyala, Ram M., Bhat, Chandra R., and Mokhtarian, Patricia L. Quantifying the relative contribution of factors to household vehicle miles of travel. United States: N. p., 2018. Web. doi:10.1016/j.trd.2018.04.004.
Singh, Abhilash C., Astroza, Sebastian, Garikapati, Venu M., Pendyala, Ram M., Bhat, Chandra R., & Mokhtarian, Patricia L. Quantifying the relative contribution of factors to household vehicle miles of travel. United States. doi:10.1016/j.trd.2018.04.004.
Singh, Abhilash C., Astroza, Sebastian, Garikapati, Venu M., Pendyala, Ram M., Bhat, Chandra R., and Mokhtarian, Patricia L. Thu . "Quantifying the relative contribution of factors to household vehicle miles of travel". United States. doi:10.1016/j.trd.2018.04.004.
@article{osti_1439554,
title = {Quantifying the relative contribution of factors to household vehicle miles of travel},
author = {Singh, Abhilash C. and Astroza, Sebastian and Garikapati, Venu M. and Pendyala, Ram M. and Bhat, Chandra R. and Mokhtarian, Patricia L.},
abstractNote = {Household vehicle miles of travel (VMT) has been exhibiting a steady growth in post-recession years in the United States and has reached record levels in 2017. With transportation accounting for 27 percent of greenhouse gas emissions, planning professionals are increasingly seeking ways to curb vehicular travel to advance sustainable, vibrant, and healthy communities. Although there is considerable understanding of the various factors that influence household vehicular travel, there is little knowledge of their relative contribution to explaining variance in household VMT. This paper presents a holistic analysis to identify the relative contribution of socio-economic and demographic characteristics, built environment attributes, residential self-selection effects, and social and spatial dependency effects in explaining household VMT production. The modeling framework employs a simultaneous equations model of residential location (density) choice and household VMT generation. The analysis is performed using household travel survey data from the New York metropolitan region. Model results showed insignificant spatial dependency effects, with socio-demographic variables explaining 33 percent, density (as a key measure of built environment attributes) explaining 12 percent, and self-selection effects explaining 11 percent of the total variance in the logarithm of household VMT. The remaining 44 percent remains unexplained and attributable to omitted variables and unobserved idiosyncratic factors, calling for further research in this domain to better understand the relative contribution of various drivers of household VMT.},
doi = {10.1016/j.trd.2018.04.004},
journal = {Transportation Research. Part D, Transport and Environment},
number = C,
volume = 63,
place = {United States},
year = {Thu Apr 26 00:00:00 EDT 2018},
month = {Thu Apr 26 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on April 26, 2019
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