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MetroScan: A Quick Scan Appraisal Capability to Identify Value Adding Sustainable Transport Initiatives

Author

Listed:
  • David A. Hensher

    (Institute of Transport and Logistics Studies, The University of Sydney Business School, Sydney, New South Wales 2006, Australia)

  • Chinh Quoc Ho

    (Institute of Transport and Logistics Studies, The University of Sydney Business School, Sydney, New South Wales 2006, Australia)

  • Wen Liu

    (Institute of Transport and Logistics Studies, The University of Sydney Business School, Sydney, New South Wales 2006, Australia)

  • Edward Wei

    (Institute of Transport and Logistics Studies, The University of Sydney Business School, Sydney, New South Wales 2006, Australia)

  • Richard Ellison

    (Institute of Transport and Logistics Studies, The University of Sydney Business School, Sydney, New South Wales 2006, Australia)

  • Kyle Schroeckenthaler

    (EBP-US (Formerly the Economic Development Research Group), Boston, MA 02110, USA)

  • Derek Cutler

    (EBP-US (Formerly the Economic Development Research Group), Boston, MA 02110, USA)

  • Glen Weisbrod

    (EBP-US (Formerly the Economic Development Research Group), Boston, MA 02110, USA)

Abstract

One of the most important features of comprehensive land use and transport planning is an ability to identify candidate projects and policies that are adding value to the sustainable performance of transport networks and to the economy as a whole. Standard methods of identifying a shortlist of projects to assess are often qualitative in nature and/or influenced by prejudices of elected officials or their advisers without a systematic way of narrowing the many potential options to evaluate, in sufficient detail, a truly value-adding set. There is a case to be made for having a capability to undertake, in a timely manner, a scan of a large number of potentially worthy projects and policies that can offer forecasts of passenger and freight demand, benefit–costs ratios and economy-wide outcomes. Such a framework would then be meaningful in the sense of offering outputs that are similar to those that are the focus of assessments that are typically spread over many months, if not years, on very few projects, which may exclude those which have the greatest merit. This paper introduces MetroScan, a strategic-level transport and land use planning application system that allows for mapping of passenger and freight activity, as well as an endogenous treatment of the location of households and firms. We summarise the analytical framework of MetroScan and show its capability (including the many useful outputs) with a case study for a 25 percent reduction in public transport fares across the entire network.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7861-:d:417958
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    References listed on IDEAS

    as
    1. 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.
    2. Glen Weisbrod, 2008. "Models to predict the economic development impact of transportation projects: historical experience and new applications," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(3), pages 519-543, September.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. David Hensher & Tu Ton, 2002. "TRESIS: A transportation, land use and environmental strategy impact simulator for urban areas," Transportation, Springer, vol. 29(4), pages 439-457, November.
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    Cited by:

    1. Weisbrod, Glen & Hensher, David A., 2023. "Improving transportation project evaluation by recognizing the role of spatial scale and context in measuring non-user economic benefits," Transport Policy, Elsevier, vol. 144(C), pages 80-89.
    2. 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).
    3. 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).
    4. Hensher, David A. & Wei, Edward & Beck, MatthewJ. & Balbontin, Camila, 2021. "The impact of COVID-19 on cost outlays for car and public transport commuting - The case of the Greater Sydney Metropolitan Area after three months of restrictions," Transport Policy, Elsevier, vol. 101(C), pages 71-80.

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