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Spatial and Transportation Mismatch in Los Angeles

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  • Ong, Paul
  • Miller, Douglas

Abstract

One of the most salient characteristics of poor urban neighborhoods is poor labor-market outcomes. Since its conceptualization in the late 1960's, the spatial mismatch hypothesis (SMH) has been cited to explain the employment problems encountered by residents of disadvantaged urban communities. Scholars have noted an increasing geographic separation between job opportunities and low-income minorities, many of whom have remained trapped in inner-city ghettos and barrios while jobs have decentralized into the suburbs. Physical distance, then, has been recognized as an employment barrier. Spatial mismatch has also been tied to the development of underclass neighborhoods - those where at least two-fifths of the residents fall below the poverty line. These communities have experienced an exodus of the middle-class, which in turn has weakened community institutions and social networks, created a paucity of positive role models, and devastated neighborhood economies. Empirical studies have found that spatial mismatch adversely impacts labor-market outcomes for African Americans in older cities, but the hypothesis may not be relevant for all disadvantaged urban neighborhoods.

Suggested Citation

  • Ong, Paul & Miller, Douglas, 2003. "Spatial and Transportation Mismatch in Los Angeles," University of California Transportation Center, Working Papers qt1m84h1b7, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt1m84h1b7
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    References listed on IDEAS

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    Cited by:

    1. Gao, Shengyi & Mokhtarian, Patricia L & Johnston, Robert A., 2007. "Exploring the connections among job accessibility, employment, income, and auto ownership using structural equation modeling," Institute of Transportation Studies, Working Paper Series qt30v177dx, Institute of Transportation Studies, UC Davis.
    2. Ong, Paul & Sung, Hyun-Gun, 2003. "Exploratory Study of Spatial Variation in Car Insurance Premiums, Traffic Volume and Vehice Accidents," University of California Transportation Center, Working Papers qt3s79382v, University of California Transportation Center.
    3. Ong, Paul & Sung, Hyun-Gun, 2003. "Exploratory Study of Spatial Variation in Car Insurance Premiums, Traffic Volume and Vehice Accidents," University of California Transportation Center, Working Papers qt6xc677qq, University of California Transportation Center.
    4. Shengyi Gao & Patricia Mokhtarian & Robert Johnston, 2008. "Exploring the connections among job accessibility, employment, income, and auto ownership using structural equation modeling," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 341-356, June.

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