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A workplace choice model accounting for spatial competition and agglomeration effects

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  • Ho, Chinh Q.
  • Hensher, David A.

Abstract

This paper develops a new model of workplace choice for the Sydney Greater Metropolitan Area (SGMA) and describes the way in which this model is integrated into a general modelling framework of MetroScan, an improved version of the Transportation and Environment Strategy Impact Simulator Transportation (TRESIS). The developed model accounts for spatial competition of alternative workplaces via accessibility variables measured to attractions of both the same and different types. The new model also has two new refinements. First, a much finer geographical level is used for modelling worker's choice of workplace given the location of firms and the distribution of jobs. Second, an employment agglomeration effect is incorporated by the inclusion of jobs in the industry class relevant to the worker and two accessibility measures. Modelling analysis on data collected from a survey conducted in Sydney in 2013 identifies highly significant spatial competition and employment agglomeration effects explaining workplace choice. The application of this model to analyse policy relating to the redistribution or growth of jobs within a general framework of MetroScan is discussed.

Suggested Citation

  • Ho, Chinh Q. & Hensher, David A., 2016. "A workplace choice model accounting for spatial competition and agglomeration effects," Journal of Transport Geography, Elsevier, vol. 51(C), pages 193-203.
    • Handle: RePEc:eee:jotrge:v:51:y:2016:i:c:p:193-203
    DOI: 10.1016/j.jtrangeo.2016.01.005
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    Cited by:

    1. Ho, Chinh Q. & Hensher, David A. & Ellison, Richard, 2017. "Endogenous treatment of residential location choices in transport and land use models: Introducing the MetroScan framework," Journal of Transport Geography, Elsevier, vol. 64(C), pages 120-131.
    2. Vasudevan, N. & Gore, Ninad & Zope, Rupali & Arkatkar, Shriniwas & Joshi, Gaurang, 2021. "Determining mode shift elasticity based on household income and travel cost," Research in Transportation Economics, Elsevier, vol. 85(C).
    3. Marcus A. Young & Simon P. Blainey, 2018. "Development of railway station choice models to improve the representation of station catchments in rail demand models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(1), pages 80-103, January.
    4. Chan Wang & Pu‐yan Nie, 2020. "Retail competition using free shopping shuttle bus strategies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 1010-1019, September.
    5. 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).
    6. Ellison, Richard B. & Teye, Collins & Hensher, David A., 2017. "Modelling Sydney’s light commercial service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 79-89.
    7. David A. Hensher & Chinh Quoc Ho & Wen Liu & Edward Wei & Richard Ellison & Kyle Schroeckenthaler & Derek Cutler & Glen Weisbrod, 2020. "MetroScan: A Quick Scan Appraisal Capability to Identify Value Adding Sustainable Transport Initiatives," Sustainability, MDPI, vol. 12(19), pages 1-30, September.
    8. Stanley, John & Ellison, Richard & Loader, Chris & Hensher, David, 2018. "Reducing Australian motor vehicle greenhouse gas emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 76-88.
    9. Hensher, David A. & Ho, Chinh Q. & Ellison, Richard B., 2019. "Simultaneous location of firms and jobs in a transport and land use model," Journal of Transport Geography, Elsevier, vol. 75(C), pages 110-121.
    10. Ho, Chinh Q. & Hensher, David A. & Wang, Shangbo, 2020. "Joint estimation of mode and time of day choice accounting for arrival time flexibility, travel time reliability and crowding on public transport," Journal of Transport Geography, Elsevier, vol. 87(C).

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