Built environment effects on fuel consumption of driving to work: Insights from on-board diagnostics data of personal vehicles
•This study examines the correlates of fuel consumption of naturalistic driving.•The built environment effect is through driving distance, speed and driver behavior.•The workplace built environment has a more important effect than residential one.•Job-housing balance may help reduce fuel consumption...
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Published in | Transportation research. Part D, Transport and environment Vol. 67; pp. 565 - 575 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.02.2019
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Abstract | •This study examines the correlates of fuel consumption of naturalistic driving.•The built environment effect is through driving distance, speed and driver behavior.•The workplace built environment has a more important effect than residential one.•Job-housing balance may help reduce fuel consumption of commuting.
Concerns over climate change and peak oil motivate examining the relationship between the built environment (BE) and individual fuel consumption. Most studies overlook BE characteristics at workplace locations. They often estimate fuel use based on travel distance instead of on actual consumption. This practice ignores other influential mechanisms. This study uses the naturalistic driving data of 660 personal vehicles in Beijing. We apply a structural equations model to examine multiple mechanisms under which the residential and workplace BE affects fuel consumption directly and indirectly through driving distance, travel speed, and driver behavior, controlling for the effect of the street environment along the commute route. We found that all three mediating variables are associated with vehicular fuel consumption for the commute. The workplace BE has the more important effect on fuel consumption than the residential BE, particularly regarding the distance from the workplace to the city center. This study highlights the role of job-housing balance in commuting fuel consumption reduction. |
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AbstractList | •This study examines the correlates of fuel consumption of naturalistic driving.•The built environment effect is through driving distance, speed and driver behavior.•The workplace built environment has a more important effect than residential one.•Job-housing balance may help reduce fuel consumption of commuting.
Concerns over climate change and peak oil motivate examining the relationship between the built environment (BE) and individual fuel consumption. Most studies overlook BE characteristics at workplace locations. They often estimate fuel use based on travel distance instead of on actual consumption. This practice ignores other influential mechanisms. This study uses the naturalistic driving data of 660 personal vehicles in Beijing. We apply a structural equations model to examine multiple mechanisms under which the residential and workplace BE affects fuel consumption directly and indirectly through driving distance, travel speed, and driver behavior, controlling for the effect of the street environment along the commute route. We found that all three mediating variables are associated with vehicular fuel consumption for the commute. The workplace BE has the more important effect on fuel consumption than the residential BE, particularly regarding the distance from the workplace to the city center. This study highlights the role of job-housing balance in commuting fuel consumption reduction. |
Author | Ding, Chuan Zhu, Wanjing Cao, Xinyu |
Author_xml | – sequence: 1 givenname: Wanjing surname: Zhu fullname: Zhu, Wanjing email: wjzhu@buaa.edu.cn organization: School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, China – sequence: 2 givenname: Chuan orcidid: 0000-0002-4403-9762 surname: Ding fullname: Ding, Chuan email: cding@buaa.edu.cn organization: School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, China – sequence: 3 givenname: Xinyu surname: Cao fullname: Cao, Xinyu email: cao@umn.edu organization: Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China |
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Keywords | Naturalistic driving Job-housing balance Fuel use Land use Carbon emissions |
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SubjectTerms | Carbon emissions Fuel use Job-housing balance Land use Naturalistic driving |
Title | Built environment effects on fuel consumption of driving to work: Insights from on-board diagnostics data of personal vehicles |
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