Spatial Dynamics of the Logistics Industry and Implications for Freight Flows

This project examines changes in the spatial pattern of warehousing and distribution (W&D) activities. W&D activities are decentralizing in response to rising land values and scale economies. Ultimately, the authors seek to understand whether these spatial shifts result in more truck VMT, or whether the efficiencies gained by larger scale operations allow offsetting savings, such as enabling the use of larger trucks or achieving higher average load factors. Understanding how these shifts are affecting truck VMT is essential for developing effective policies for managing truck VMT and their associated emissions. However, there is no good source for tract or zone level truck flow data, or for intra-metropolitan truck origin-destination data. As a first step, the authors focus on accessibility. From the literature on passenger travel, the authors know that travel distance is related to accessibility. Thus, changes in accessibility to goods markets should be a proxy for goods travel distance, all else equal. The authors examine changes in the spatial pattern of warehousing and distribution activities for the four largest California metropolitan areas: Los Angeles, San Francisco, Sacramento, and San Diego, using ZIP Code Business Patterns data for 2003 and 2013. The authors develop measures of decentralization and concentration. Their results are mixed. When using establishment counts, only Los Angeles shows a consistent pattern of decentralization. There is more evidence of decentralization when using employment counts, which is consistent with larger scale facilities being built at the periphery. Spatial patterns for the largest metro areas are quite different from those of the smaller metro areas. The authors surmise that higher development density and associated land prices push W&D activity to more distant areas. In contrast, W&D location in San Diego and Sacramento is relatively closer to employment, population, and the CBD. If all truck traffic were local, their results suggest possible increases in truck VMT, particularly for the largest metro areas. However, more than half of all commodity flows is non-local. The decentralization the authors observe is likely related to domestic and international trade, for which access to local markets is less important. More research is necessary to determine whether decentralization is a consistent trend in large metro areas, and, if so, whether impacts on truck VMT within metro areas is positive or negative.

• Record URL:
  https://merritt.cdlib.org/d/ark%253A%252F13030%252Fm53c0v0f/1/producer%252FNCST-201606.pdf
• Record URL:
  https://ncst.ucdavis.edu/wp-content/uploads/2014/08/06-17-2016-NCST-Spatial-Dynamics-Draft-Final-Report.pdf
• 
• Summary URL:
  https://rosap.ntl.bts.gov/view/dot/67091
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/40012
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  METRANS Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089-0626

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Giuliano, Genevieve
  • Kang, Sanggyun
  • Yuan, Quan
• Publication Date: 2016-6

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 42p

Subject/Index Terms

• TRT Terms: Commodity flow; Distribution support businesses; Freight transportation; Land use; Spatial analysis; Urban goods movement; Vehicle miles of travel; Warehouses
• Geographic Terms: California
• Subject Areas: Freight Transportation; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01642384
• Record Type: Publication
• Report/Paper Numbers: NCST-20160600
• Files: BTRIS, UTC, NTL, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Jul 27 2017 2:13PM