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Modelling with Systems Dynamics as a Method to Bridge the Gap between Politics, Planning and Science? Lessons Learnt from the Development of the Land Use and Transport Model MARS

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  • Paul Pfaffenbichler

Abstract

Systems Dynamics (SD) was founded by John Forrester and colleagues in the late 1950s at the MIT. SD offers qualitative and quantitative tools to analyse systems. The major qualitative method is Causal Loop Diagrams (CLDs). CLDs facilitate the description, communication and discussion of any kind of system. CLDs allow statements about the principal system behaviour, i.e. whether a state of dynamic equilibrium can be reached or not. CLDs can form the basis for quantitative dynamic modelling. The major quantitative SD principles are stocks and flows. Qualitative and quantitative methods have been used to develop the dynamic land use and transport interaction model MARS (Metropolitan Activity Relocation Simulator). Operational models exist in 14 European, Asian and South American cities. Versions of Washington DC and Ho Chi Minh City are under development. An interface called ‘flight simulator’ which allows to select policies from a predefined set, run the model and calculate the effects of the selected policy accompanies MARS. The flight simulator tool was used in workshops with politicians, planners and researchers in Vietnam and Brazil. The aim of this paper is to discuss the potential of an SD‐based approach to bridge the gap between politics, planning and science.

Suggested Citation

  • Paul Pfaffenbichler, 2011. "Modelling with Systems Dynamics as a Method to Bridge the Gap between Politics, Planning and Science? Lessons Learnt from the Development of the Land Use and Transport Model MARS," Transport Reviews, Taylor & Francis Journals, vol. 31(2), pages 267-289.
    • Handle: RePEc:taf:transr:v:31:y:2011:i:2:p:267-289
    DOI: 10.1080/01441647.2010.534570
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    Cited by:

    1. Julio A. Soria-Lara & Luca Bertolini & Marco Te Brömmelstroet, 2017. "Towards a more effective EIA in transport planning: a literature review to derive interventions and mechanisms to improve knowledge integration," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(5), pages 755-772, May.
    2. Moshe Givoni & Eda Beyazit & Yoram Shiftan, 2016. "The use of state-of-the-art transport models by policymakers – beauty in simplicity?," Planning Theory & Practice, Taylor & Francis Journals, vol. 17(3), pages 385-404, July.
    3. May, Anthony D. & Shepherd, Simon & Pfaffenbichler, Paul & Emberger, Günter, 2020. "The potential impacts of automated cars on urban transport: An exploratory analysis," Transport Policy, Elsevier, vol. 98(C), pages 127-138.

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