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Development of a neighborhood commute mode share model using nationally-available data

Author

Listed:
  • Robert J. Schneider

    (University of Wisconsin-Milwaukee)

  • Lingqian Hu

    (University of Wisconsin-Milwaukee)

  • Joseph Stefanich

    (University of Wisconsin-Milwaukee)

Abstract

Practitioners often use demand models to predict how neighborhood-level land use, infrastructure, demographic, and other changes may impact transportation systems. Few of the models available to predict automobile, transit, bicycle, and pedestrian travel are based on easily-accessible data, which creates barriers for transportation agencies with limited data or modeling resources. We help fill this gap by developing a fractional multinomial logit model that estimates United States neighborhood work commute mode shares using existing, nationally-available data from 5000 randomly-selected, non-adjacent census tracts. After controlling for socioeconomic characteristics, the model shows that public transit, walk, and bicycle commuting are associated with higher population and employment density, more housing constructed prior to 1940, and more rental housing. Public transit and walk commuting are associated with being in a Northeastern state, automobile commuting is associated with being in a Southern state, and bicycle commuting is associated with being in a West Coast state. Validation of the model using a separate set of 1000 census tracts and application of the model in the Milwaukee metropolitan region show promise but also highlight several limitations of this approach. This sketch-planning model is a building block for future practically-oriented neighborhood commute mode share models.

Suggested Citation

  • Robert J. Schneider & Lingqian Hu & Joseph Stefanich, 2019. "Development of a neighborhood commute mode share model using nationally-available data," Transportation, Springer, vol. 46(3), pages 909-929, June.
  • Handle: RePEc:kap:transp:v:46:y:2019:i:3:d:10.1007_s11116-017-9813-z
    DOI: 10.1007/s11116-017-9813-z
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    References listed on IDEAS

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    1. Kevin Krizek, 2003. "Neighborhood services, trip purpose, and tour-based travel," Transportation, Springer, vol. 30(4), pages 387-410, November.
    2. John Parkin & Mark Wardman & Matthew Page, 2008. "Estimation of the determinants of bicycle mode share for the journey to work using census data," Transportation, Springer, vol. 35(1), pages 93-109, January.
    3. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    4. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    5. Daniel G Chatman, 2009. "Residential Choice, the Built Environment, and Nonwork Travel: Evidence Using New Data and Methods," Environment and Planning A, , vol. 41(5), pages 1072-1089, May.
    6. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    7. Ralph Buehler & John Pucher, 2012. "Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes," Transportation, Springer, vol. 39(2), pages 409-432, March.
    8. Salon, Deborah, 2016. "Estimating pedestrian and cyclist activity at the neighborhood scale," Journal of Transport Geography, Elsevier, vol. 55(C), pages 11-21.
    9. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    10. Susan Handy & Yan Xing & Theodore Buehler, 2010. "Factors associated with bicycle ownership and use: a study of six small U.S. cities," Transportation, Springer, vol. 37(6), pages 967-985, November.
    11. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.
    12. Schneider, Robert James, 2013. "Measuring transportation at a human scale: An intercept survey approach to capture pedestrian activity," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 43-59.
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