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Equilibrium versus Dynamics in Urban Modelling

Author

Listed:
  • David Simmonds

    (David Simmonds Consultancy Ltd, 3-14 Mill Lane, Cambridge CB2 1RQ, England, and Institute for Housing, Urban and Real Estate Research, Heriot-Watt University, Edinburgh, Scotland)

  • Paul Waddell

    (Institute of Urban and Regional Development, 316 Wurster Hall, University of California at Berkeley, Berkeley, CA 94720-1870, USA)

  • Michael Wegener

    (Spiekermann and Wegener Urban and Regional Research, Lindermannstrasse 10, D-44137 Dortmund, Germany)

Abstract

The use of equilibrium formulations in urban modelling is increasingly challenged by models that explicitly address the dynamics of urban change. Equilibrium models assume that urban land use and transport converge to equilibrium between supply and demand and focus on comparative static analysis of these equilibria. Dynamic models consider the different speeds of processes of urban change and concentrate on their outcomes over time and the path dependence this implies. It is becoming increasingly apparent that without understanding the inherent inertia of different subsystems of cities it is impossible to assess their likely responses to land-use or transport policies. With new challenges from energy scarcity and climate change, the time horizon of urban planning is extending beyond the present generation; this makes a long-term perspective of urban models even more important. In this paper our aim is to revive the debate on whether modelling intended to inform decision making can reasonably represent cities as if they were in or near equilibrium or whether it needs to recognise explicitly that they are continuously changing and far from equilibrium. We start with a classification of urban change processes by speed of adjustment and show how equilibrium models fail to deal with them. We discuss options of modelling dynamics and argue for recursive dynamics or quasi-dynamics as a rational trade-off between theory and operationality in spatially disaggregate urban models. We illustrate this by comparing how three existing recursive or quasi-dynamic urban models address temporal dynamics and close by suggesting research needs.

Suggested Citation

  • David Simmonds & Paul Waddell & Michael Wegener, 2013. "Equilibrium versus Dynamics in Urban Modelling," Environment and Planning B, , vol. 40(6), pages 1051-1070, December.
  • Handle: RePEc:sae:envirb:v:40:y:2013:i:6:p:1051-1070
    DOI: 10.1068/b38208
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    References listed on IDEAS

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    1. Manuel Gottlieb, 1976. "Long Swings in Urban Development," NBER Books, National Bureau of Economic Research, Inc, number gott76-1.
    2. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    3. Paul Pfaffenbichler & Günter Emberger & Simon Shepherd, 2008. "The Integrated Dynamic Land Use and Transport Model MARS," Networks and Spatial Economics, Springer, vol. 8(2), pages 183-200, September.
    4. Theo Arentze & Harry Timmermans & Jan Veldhuisen, 2010. "The Residential Choice Module in the Albatross and Ramblas Model Systems," Advances in Spatial Science, in: Francesca Pagliara & John Preston & David Simmonds (ed.), Residential Location Choice, pages 209-222, Springer.
    5. Francisco Martínez & Ricardo Hurtubia, 2006. "Dynamic Model for the Simulation of Equilibrium Status in the Land Use Market," Networks and Spatial Economics, Springer, vol. 6(1), pages 55-73, March.
    6. G. Leonardi, 1981. "A General Accessibility And Congestion‐Sensitive Multiactivity Spatial Interaction Model," Papers in Regional Science, Wiley Blackwell, vol. 47(1), pages 3-17, January.
    7. Anas, Alex, 1983. "Discrete choice theory, information theory and the multinomial logit and gravity models," Transportation Research Part B: Methodological, Elsevier, vol. 17(1), pages 13-23, February.
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    Cited by:

    1. JONES, Jonathan & PEETERS, Dominique & THOMAS, Isabelle, 2016. "Scale effect in a LUTI model of Brussels: challenges for policy evaluation," LIDAM Discussion Papers CORE 2016034, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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