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Warehouse and Distribution Facilities and Community Attributes: An Empirical Study

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  • R Sivitanidou

    (School of Urban and Regional Planning, University of Southern California, VKC 351, Los Angeles, CA 90089-0042, USA)

Abstract

In this paper I examine empirically the largely unexplored proposition that the intraurban location and pricing of warehouse and distribution (W&D) facilities are inextricably linked to the intraurban geography of retailing, production, transportation systems, ‘warehouse’ labor, and local zoning. Estimated reduced-form W&D rent functions suggest that the influence of these predictors varies across small and large W&D facilities, presumably differing in the geographic scope of their operations. Small W&D facility rents are seen to be determined by the multiplicity of location factors already mentioned; in contrast, large W&D facility rents, seemingly unaffected by local market access and local zoning controls, are found to be mostly driven by surface and air-transportation access advantages. Overall, these findings suggest a role for a public policy aiming at facilitating the functioning of the W&D sector within contemporary metropolises.

Suggested Citation

  • R Sivitanidou, 1996. "Warehouse and Distribution Facilities and Community Attributes: An Empirical Study," Environment and Planning A, , vol. 28(7), pages 1261-1278, July.
    • Handle: RePEc:sae:envira:v:28:y:1996:i:7:p:1261-1278
    DOI: 10.1068/a281261
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    References listed on IDEAS

    as
    1. Sivitanidou, Rena & Wheaton, William C., 1992. "Wage and rent capitalization in the commercial real estate market," Journal of Urban Economics, Elsevier, vol. 31(2), pages 206-229, March.
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    3. McMillen, Daniel P. & McDonald, John F., 1991. "Urban land value functions with endogenous zoning," Journal of Urban Economics, Elsevier, vol. 29(1), pages 14-27, January.
    4. Brent W. Ambrose, 1990. "An Analysis of the Factors Affecting Light Industrial Property Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 5(3), pages 355-370.
    5. Wheaton, William C., 1977. "A bid rent approach to housing demand," Journal of Urban Economics, Elsevier, vol. 4(2), pages 200-217, April.
    6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    7. William Alonso, 1967. "A Reformulation Of Classical Location Theory And Its Relation To Rent Theory," Papers in Regional Science, Wiley Blackwell, vol. 19(1), pages 23-44, January.
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    Cited by:

    1. Lindsey, Christopher & Mahmassani, Hani S. & Mullarkey, Matt & Nash, Terry & Rothberg, Steven, 2014. "Industrial space demand and freight transportation activity: exploring the connection," Journal of Transport Geography, Elsevier, vol. 37(C), pages 93-101.
    2. Lim, Hyunwoo & Yoo, Eun-Hye & Park, Minyoung, 2018. "Warehouse rental market segmentation using spatial profile regression," Journal of Transport Geography, Elsevier, vol. 73(C), pages 64-74.
    3. Cidell, Julie, 2010. "Concentration and decentralization: The new geography of freight distribution in US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 18(3), pages 363-371.
    4. Clarence Woudsma & Paul Jakubicek & Laetitia Dablanc, 2015. "Logistics sprawl in North America: methodological issues and a case study in Toronto," Post-Print hal-01254415, HAL.
    5. Ali Durmuş & Sevkiye Sence Turk, 2014. "Factors Influencing Location Selection of Warehouses at the Intra-Urban Level: Istanbul Case," European Planning Studies, Taylor & Francis Journals, vol. 22(2), pages 268-292, February.
    6. Bowen, John T., 2008. "Moving places: the geography of warehousing in the US," Journal of Transport Geography, Elsevier, vol. 16(6), pages 379-387.

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