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Operational research in urban planning

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  • Rosenhead, Jonathan

Abstract

Some of the characteristics which distinguish social planning from planning in the private sector, or in publicly owned industry, are identified. A survey of OR investigations (both tactical and strategic) in the area of urban planning supports the case that the mainstream OR contribution does violence to the nature of the system under study. In particular, problems are formulated in terms of (or transformed into) single objectives, to be optimized; aspects of the social world are subject to wholesale quantification, with resulting distortion; models make implausible data demands; project definition and execution reinforce the 'scientisation' of political debate; problems are formulated on the assumption of a single hierarchically powerful decision-maker; and problems are formulated as if they must be solved in toto at one point in time. It is suggested that we should look to the converse of these qualities for new directions in the application of operational research in urban planning. Some examples are given of techniques and approaches which exhibit these alternative characteristics.

Suggested Citation

  • Rosenhead, Jonathan, 1981. "Operational research in urban planning," Omega, Elsevier, vol. 9(4), pages 345-364.
    • Handle: RePEc:eee:jomega:v:9:y:1981:i:4:p:345-364
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    Cited by:

    1. Tayo Fabusuyi & Michael P Johnson, 2022. "Enhancing the quality and social impacts of urban planning through community-engaged operations research," Environment and Planning B, , vol. 49(4), pages 1167-1183, May.
    2. Roca-Riu, Mireia & Fernández, Elena & Estrada, Miquel, 2015. "Parking slot assignment for urban distribution: Models and formulations," Omega, Elsevier, vol. 57(PB), pages 157-175.
    3. Ion Georgiou & Joaquim Heck, 2021. "The emergence of problem structuring methods, 1950s–1989: An atlas of the journal literature," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 756-796, November.
    4. Driouchi, Tarik & Leseure, Michel & Bennett, David, 2009. "A robustness framework for monitoring real options under uncertainty," Omega, Elsevier, vol. 37(3), pages 698-710, June.
    5. Kaplan, Edward H., 2008. "Adventures in policy modeling! Operations research in the community and beyond," Omega, Elsevier, vol. 36(1), pages 1-9, February.
    6. Stamatia Nasiakou & Michael Vrahnakis & Dimitrios Chouvardas & Georgios Mamanis & Vassiliki Kleftoyanni, 2022. "Land Use Changes for Investments in Silvoarable Agriculture Projected by the CLUE-S Spatio-Temporal Model," Land, MDPI, vol. 11(5), pages 1-23, April.
    7. Ferretti, Valentina & Pluchinotta, Irene & Tsoukiàs, Alexis, 2019. "Studying the generation of alternatives in public policy making processes," European Journal of Operational Research, Elsevier, vol. 273(1), pages 353-363.

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