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Evaluating Transportation Improvements Within Cities Using Quantitative Spatial Models

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  • Christopher Severen

Abstract

I describe the use of quantitative spatial models (QSMs) to evaluate the effects of transportation infrastructure within cities. After discussing the motivation for QSMs relative to other economic measurement techniques, I develop a simple QSM and detail the components that enter into the model. Next, I consider identification challenges and practical implementation. Finally, I highlight several shortcomings common in applications of QSMs, as well as growth areas where QSMs show promise for future development.

Suggested Citation

  • Christopher Severen, 2026. "Evaluating Transportation Improvements Within Cities Using Quantitative Spatial Models," Working Papers 26-13, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:102896
    DOI: 10.21799/frbp.wp.2026.13
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    References listed on IDEAS

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    4. Stephen J. Redding, 2025. "Evaluating transport improvements in spatial equilibrium," CEP Discussion Papers dp2080, Centre for Economic Performance, LSE.
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    7. Panle Jia Barwick & Shanjun Li & Andrew Waxman & Jing Wu & Tianli Xia, 2024. "Efficiency and Equity Impacts of Urban Transportation Policies with Equilibrium Sorting," American Economic Review, American Economic Association, vol. 114(10), pages 3161-3205, October.
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    Keywords

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    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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