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Urban spatial structure, employment subcenters, and freight travel

Author

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  • Boarnet, Marlon G.
  • Hong, Andy
  • Santiago-Bartolomei, Raul
Abstract
Metropolitan areas in the U.S. have become increasingly polycentric. Large employment subcenters have emerged outside of central cities, competing against the traditional city center for labor and businesses. The existing literature on land use and transportation focuses on passenger travel, providing little insight into the impact of polycentric metropolitan development patterns on freight activity. In this study, we use the Los Angeles region as a case study to examine the relationship between urban spatial development patterns and freight travel. Using the National Employment Time Series (NETS) data, we identify employment subcenters in metropolitan Los Angeles. We characterize freight activities associated with the subcenters using data from the Southern California Association of Governments (SCAG). We develop a regression model that estimates freight activity as a function of geographic characteristics, such as whether a location is in an employment subcenter, measures of nearby employment, access to the highway network, and proximity to intermodal freight facilities. The results indicate that employment is an important driver of freight activity; however, employment subcenters have an independent effect on freight activity. The results of this study suggest that further research on urban spatial structure and freight activity should assess the effects of employment subcenters and how their particular employment composition and characteristics are associated with freight activities at the metropolitan level. Such an approach would lead to more precise policy recommendations for urban goods movement.

Suggested Citation

  • Boarnet, Marlon G. & Hong, Andy & Santiago-Bartolomei, Raul, 2017. "Urban spatial structure, employment subcenters, and freight travel," Journal of Transport Geography, Elsevier, vol. 60(C), pages 267-276.
    • Handle: RePEc:eee:jotrge:v:60:y:2017:i:c:p:267-276
    DOI: 10.1016/j.jtrangeo.2017.03.007
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    References listed on IDEAS

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    2. Alireza Salahi Moghadam & Ali Soltani & Bruno Parolin, 2018. "Transforming and changing urban centres: the experience of Sydney from 1981 to 2006," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 37-53, March.
    3. Chandra, Aitichya & Sharath, M.N. & Pani, Agnivesh & Sahu, Prasanta K., 2021. "A multi-objective genetic algorithm approach to design optimal zoning systems for freight transportation planning," Journal of Transport Geography, Elsevier, vol. 92(C).
    4. Xiaoxu, Xing & Qiangmin, Xi & Weihao, Shi, 2024. "Impact of urban compactness on carbon emission in Chinese cities: From moderating effects of industrial diversity and job-housing imbalances," Land Use Policy, Elsevier, vol. 143(C).
    5. Ling Zhang & Jingjing Hao & Xiaofeng Ji & Lan Liu, 2019. "Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data," Sustainability, MDPI, vol. 11(7), pages 1-20, March.
    6. Chen, Yu & Lu, Yuqi & Jin, Cheng, 2024. "Spatiotemporal differentiation calendar for car and truck flow on expressways: A case study of Jiangsu, China," Journal of Transport Geography, Elsevier, vol. 116(C).
    7. Balbontin, Camila & Hensher, David A. & Ho, Chinh, 2023. "Light commercial vehicles destination choice: Understanding preferences relative to the number of stop and tour-based trip type," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).

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