The Influence of Street Environments on Fuel Efficiency: Insights from Naturalistic Driving

The authors research applied Structural Equation Modelling (SEM) to examine how driving behaviors and fuel efficiency respond to different street environments. The authors used a rich naturalistic driving dataset that recorded detailed driving patterns of 108 drivers randomly selected from the Southeast Michigan region. The results show that, some features of compact streets such as lower speed limit, higher intersection density, higher population and employment density are associated with lower driving speed, more speed changes, and lower fuel efficiency; however, other features such as higher density of pedestrian-scale retails improve fuel efficiency. The aim of the authors study is to increase the understanding of energy and environmental outcomes of the streets engineers plan, design, and build and to better inform policy decisions concerned with sustainable transportation.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADC70 Transportation Energy. Alternate title: Influence of Street Environments on Fuel Efficiency: Insights from Naturalistic Driving.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Wang, Xiaoguang
    • Liu, Chao
    • Kostyniuk, Lidia
    • Shen, Qing
    • Bao, Shan
  • Conference:
  • Date: 2014

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01506336
  • Record Type: Publication
  • Report/Paper Numbers: 14-3361
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 3 2014 9:17AM