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Examining the effect of the Hiawatha LRT on auto use in the Twin Cities

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  • Cao, Xinyu Jason

Abstract

Many studies have investigated the impact of rail transit on transit use. However, few have focused on auto use. This study explores the effect of the Hiawatha LRT in Minneapolis on vehicle miles driven (VMD). Negative binomial models show that Hiawatha residents drive shorter distance than those in urban and suburban control corridors, after demographics and neighborhood characteristics are controlled for. The LRT can reduce an urban resident's VMD by about 20%, all else equal. Once attitudes are included in the model, however, the differences become insignificant. Demographics and attitudes altogether are more important in influencing auto use than the built environment. Overall, the LRT reduces driving because it enables new housing development and allows those valuing transit to better match their attitudes.

Suggested Citation

  • Cao, Xinyu Jason, 2019. "Examining the effect of the Hiawatha LRT on auto use in the Twin Cities," Transport Policy, Elsevier, vol. 81(C), pages 284-292.
    • Handle: RePEc:eee:trapol:v:81:y:2019:i:c:p:284-292
    DOI: 10.1016/j.tranpol.2018.04.011
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    References listed on IDEAS

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    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, January.
    2. Cao, Xinyu (Jason) & Schoner, Jessica, 2014. "The influence of light rail transit on transit use: An exploration of station area residents along the Hiawatha line in Minneapolis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 134-143.
    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. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    5. Huang, Xiaoyan & Cao, Xinyu (Jason) & Cao, Xiaoshu & Yin, Jiangbin, 2016. "How does the propensity of living near rail transit moderate the influence of rail transit on transit trip frequency in Xi'an?," Journal of Transport Geography, Elsevier, vol. 54(C), pages 194-204.
    6. Kwoka, Gregory J. & Boschmann, E. Eric & Goetz, Andrew R., 2015. "The impact of transit station areas on the travel behaviors of workers in Denver, Colorado," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 277-287.
    7. Levine, Jonathan, 1999. "Access to Choice," University of California Transportation Center, Working Papers qt18s623vq, University of California Transportation Center.
    8. Rubin, Thomas A. & Moore II, James E. & Lee, Shin, 1999. "Ten myths about US urban rail systems," Transport Policy, Elsevier, vol. 6(1), pages 57-73, January.
    9. Douglas Houston & Marlon G Boarnet & Gavin Ferguson & Steven Spears, 2015. "Can compact rail transit corridors transform the automobile city? Planning for more sustainable travel in Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 52(5), pages 938-959, April.
    10. 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.
    11. Cervero, Robert, 1994. "Transit-based housing in California: evidence on ridership impacts," Transport Policy, Elsevier, vol. 1(3), pages 174-183, June.
    12. Shen, Qing & Chen, Peng & Pan, Haixiao, 2016. "Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 31-44.
    13. Jason Cao & Xiaoshu Cao, 2014. "The Impacts of LRT, Neighbourhood Characteristics, and Self-selection on Auto Ownership: Evidence from Minneapolis-St. Paul," Urban Studies, Urban Studies Journal Limited, vol. 51(10), pages 2068-2087, August.
    14. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    15. Daniel G. Chatman, 2013. "Does TOD Need the T?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 17-31, January.
    16. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    17. Khattak, Asad J. & Rodriguez, Daniel, 2005. "Travel behavior in neo-traditional neighborhood developments: A case study in USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 481-500, July.
    18. Xinyu (Jason) Cao & Patricia L. Mokhtarian & Susan L. Handy, 2008. "Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 359-395, October.
    19. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What if You Live in the Wrong Neighborhood? The Impact of Residential Neighborhood Type Dissonance on Distance Traveled," University of California Transportation Center, Working Papers qt5hh713d6, University of California Transportation Center.
    20. Ettema, Dick & Nieuwenhuis, Roy, 2017. "Residential self-selection and travel behaviour: What are the effects of attitudes, reasons for location choice and the built environment?," Journal of Transport Geography, Elsevier, vol. 59(C), pages 146-155.
    21. Senior, Martyn L., 2009. "Impacts on travel behaviour of Greater Manchester’s light rail investment (Metrolink Phase 1): evidence from household surveys and Census data," Journal of Transport Geography, Elsevier, vol. 17(3), pages 187-197.
    22. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    23. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    24. Wendy Bohte & Kees Maat & Bert van Wee, 2009. "Measuring Attitudes in Research on Residential Self‐Selection and Travel Behaviour: A Review of Theories and Empirical Research," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 325-357, February.
    25. Brown, B.B. & Werner, C.M. & Tribby, C.P. & Miller, H.J. & Smith, K.R., 2015. "Transit use, physical activity, and body mass index changes: Objective measures associated with complete street light-rail construction," American Journal of Public Health, American Public Health Association, vol. 105(7), pages 1468-1474.
    26. Thomas Klinger & Martin Lanzendorf, 2016. "Moving between mobility cultures: what affects the travel behavior of new residents?," Transportation, Springer, vol. 43(2), pages 243-271, March.
    27. Xinyu (Jason) Cao, 2009. "Disentangling the influence of neighborhood type and self-selection on driving behavior: an application of sample selection model," Transportation, Springer, vol. 36(2), pages 207-222, March.
    28. Steven Spears & Marlon G Boarnet & Douglas Houston, 2017. "Driving reduction after the introduction of light rail transit: Evidence from an experimental-control group evaluation of the Los Angeles Expo Line," Urban Studies, Urban Studies Journal Limited, vol. 54(12), pages 2780-2799, September.
    29. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
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