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Endogenous treatment of residential location choices in transport and land use models: Introducing the MetroScan framework

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

Abstract

Within a random utility maximisation modelling framework, the paper develops a residential location choice model as part of an integrated transport and land use modelling system, called MetroScan – a quick scanning tool to evaluate transport and land use initiatives, including benefit-cost analysis and economic impact analysis. We describe how the developed model is integrated, as an empirically calibrated module, into the behaviourally richer transport and land use modelling system of MetroScan for practical application. A full application of MetroScan modelling system to Sydney West Metro link recently proposed by the New South Wales government is presented as a case study. The results demonstrate how the residential location choice model works with other inter-connected models, such as work and non-work location choices, dwelling tenure and dwelling type, and vehicle fleet size choice embedded in the modelling system, in simulating the impact of transport and housing development on household choices of residential location.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:64:y:2017:i:c:p:120-131
    DOI: 10.1016/j.jtrangeo.2017.08.021
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    2. Ho, Chinh Q., 2022. "Can MaaS change users’ travel behaviour to deliver commercial and societal outcomes?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 76-97.
    3. 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).
    4. David A. Hensher & Edward Wei & Wen Liu & Loan Ho & Chinh Ho, 2023. "Development of a practical aggregate spatial road freight modal demand model system for truck and commodity movements with an application of a distance-based charging regime," Transportation, Springer, vol. 50(3), pages 1031-1071, June.
    5. Haque, Md Bashirul & Choudhury, Charisma & Hess, Stephane, 2020. "Understanding differences in residential location preferences between ownership and renting: A case study of London," Journal of Transport Geography, Elsevier, vol. 88(C).
    6. 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.
    7. 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.
    8. 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).
    9. Hensher, David A. & Wei, Edward & Liu, Wen, 2021. "Battery electric vehicles in cities: Measurement of some impacts on traffic and government revenue recovery," Journal of Transport Geography, Elsevier, vol. 94(C).

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