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Does context matter in environmental justice patterns? Evidence on warehousing location from four metro areas in California

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  • Yuan, Quan

Abstract

Warehousing activities generate substantial externalities that affect surrounding neighborhoods. Using data for four major metropolitan areas in California, Los Angeles, San Francisco, San Diego and Sacramento, this study tests the relationship between the spatial distribution of warehouses and disadvantaged neighborhoods. The results based on spatial presentation and statistical models show that warehouses are disproportionately located in minority neighborhoods, regardless of the differences in urban contexts. In specific, medium-income and low-income minority neighborhoods are more likely to have higher concentration of warehouses than medium-or-low-income white ones. The four metros are diversified in the roles of global trade, land availability, and the size of the warehousing industry. However, the spatial patterns are found consistent across these metros, suggesting that the environmental justice problem in warehousing location is a common concern. Local governments should monitor and evaluate the rapid spatial expansion of warehousing facilities and make efforts to mitigate subsequent environmental impacts that are disproportionately located in disadvantaged communities.

Suggested Citation

  • Yuan, Quan, 2019. "Does context matter in environmental justice patterns? Evidence on warehousing location from four metro areas in California," Land Use Policy, Elsevier, vol. 82(C), pages 328-338.
  • Handle: RePEc:eee:lauspo:v:82:y:2019:i:c:p:328-338
    DOI: 10.1016/j.landusepol.2018.12.011
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    References listed on IDEAS

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    1. Woudsma, Clarence & Jensen, John F. & Kanaroglou, Pavlos & Maoh, Hanna, 2008. "Logistics land use and the city: A spatial-temporal modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 277-297, March.
    2. Giuliano, Genevieve & Kang, Sanggyun & Yuan, Quan, 2016. "Spatial Dynamics of the Logistics Industry and Implications for Freight Flows," Institute of Transportation Studies, Working Paper Series qt94h6t7s9, Institute of Transportation Studies, UC Davis.
    3. Dablanc, Laetitia & Ross, Catherine, 2012. "Atlanta: a mega logistics center in the Piedmont Atlantic Megaregion (PAM)," Journal of Transport Geography, Elsevier, vol. 24(C), pages 432-442.
    4. Yuan, Quan, 2018. "Mega freight generators in my backyard: A longitudinal study of environmental justice in warehousing location," Land Use Policy, Elsevier, vol. 76(C), pages 130-143.
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    Cited by:

    1. Can Zou & Jun Tai & Li Chen & Yue Che, 2020. "An Environmental Justice Assessment of the Waste Treatment Facilities in Shanghai: Incorporating Counterfactual Decomposition into the Hedonic Price Model," Sustainability, MDPI, vol. 12(8), pages 1-12, April.
    2. deSouza, Priyanka N. & Ballare, Sudheer & Niemeier, Deb A., 2022. "The environmental and traffic impacts of warehouses in southern California," Journal of Transport Geography, Elsevier, vol. 104(C).
    3. Wang, Kailai & Chen, Zhenhua & Cheng, Long & Zhu, Pengyu & Shi, Jian & Bian, Zheyong, 2023. "Integrating spatial statistics and machine learning to identify relationships between e-commerce and distribution facilities in Texas, US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    4. Kang, Sanggyun, 2022. "Exploring the contextual factors behind various phases in logistics sprawl: The case of Seoul Metropolitan Area, South Korea," Journal of Transport Geography, Elsevier, vol. 105(C).
    5. Kang, Sanggyun, 2020. "Relative logistics sprawl: Measuring changes in the relative distribution from warehouses to logistics businesses and the general population," Journal of Transport Geography, Elsevier, vol. 83(C).

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