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Urban spatial structure and the potential for vehicle miles traveled reduction: the effects of accessibility to jobs within and beyond employment sub-centers

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  • Marlon G. Boarnet

    (University of Southern California)

  • Xize Wang

    (University of California, Berkeley)

Abstract

This research examines the relationship between urban polycentric spatial structure and driving. We identified 46 employment sub-centers in the Los Angeles Combined Statistical Area and calculated access to jobs that are within and beyond these sub-centers. To address potential endogeneity problems, we use access to historically important places and transportation infrastructure in the early twentieth century as instrumental variables for job accessibility indices. Our Two-stage Tobit models show that access to jobs is negatively associated with household vehicle miles traveled in this region. Among various accessibility measures, access to jobs outside sub-centers has the largest elasticity (− 0.155). We examine the location of places in the top quintile of access to non-centered jobs and find that those locations are often inner ring suburban developments, near the core of the urban area and not far from sub-centers, suggesting that strategies of infill development that fill in the gaps between sub-centers, rather than focusing on already accessible downtowns and large sub-centers, may be the best land use approach to reduce VMT.

Suggested Citation

  • Marlon G. Boarnet & Xize Wang, 2019. "Urban spatial structure and the potential for vehicle miles traveled reduction: the effects of accessibility to jobs within and beyond employment sub-centers," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(2), pages 381-404, April.
  • Handle: RePEc:spr:anresc:v:62:y:2019:i:2:d:10.1007_s00168-019-00900-7
    DOI: 10.1007/s00168-019-00900-7
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    References listed on IDEAS

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    3. Carozzi, Felipe & Roth, Sefi, 2023. "Dirty density: air quality and the density of American cities," LSE Research Online Documents on Economics 117385, London School of Economics and Political Science, LSE Library.
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    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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