The Effects of Land-use Policy on Commuting Distance and Road Related Adverse Health Outcomes

Research shows the use of roadway networks generate health risks thus, the amount of time people use these networks has direct implications for public health. This research hypothesizes a credible link exists between commuting distance, land use policy, and health outcomes. To date, the primary means of investigating commuting distance has been regarding socio-economic status and the primary means of investigating land use policy has been regarding changes in travel behavior. In both cases researchers have neglected the domain of public health linking to structural policy factors. This research advances this topic by hypothesizing that minimum lot size policy directly affects commuting distance which, in turn, increases exposure to road related adverse health outcomes. The study team uses econometric analysis on county/city level data to estimate the effects of commuting distance on emissions, accident rates, and cardiovascular disease, as well as, the effects of minimum lot size on work-trip length.


  • English


  • Status: Active
  • Funding: $43348
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:


    Washington DC,   United States 
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Center for Transportation, Environment, and Community Health

    Cornell University
    Ithaca, NY  United States  14853
  • Principal Investigators:

    Gao, Oliver

  • Start Date: 20190101
  • Expected Completion Date: 20191231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01680824
  • Record Type: Research project
  • Source Agency: Center for Transportation, Environment, and Community Health
  • Contract Numbers: 69A3551747119
  • Files: UTC, RiP
  • Created Date: Sep 19 2018 1:43PM