IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v35y2008i1p16-33.html
   My bibliography  Save this article

Land-Use Policy and Planning, Theorizing, and Modeling: Lost in Translation, Found in Complexity?

Author

Listed:
  • Helen Briassoulis

    (Department of Geography, University of the Aegean, University Hill, Mytilini 81100, Lesvos, Greece)

Abstract

This paper ventures an examination of the linkages among three worlds—those of land-use theorizing and modeling, and that of policy making and planning—which, despite historical and recent advances, remain comparatively poor and haunted by defective communication and problematic translation between them. It is motivated by shifts that have taken place since the late 1980s in all three worlds, away from ‘classical’ thinking (positivism, reductionism, and linear and static worldviews) and towards complex systems (CS) thinking (alternative epistemologies, holism, and nonlinear and dynamic worldviews). The principal question is whether or not CS thinking, compared to classical thinking, addresses more satisfactorily key policy and planning issues, thus holding the potential to improve communication and bridge the gaps between the three worlds. The issues examined are the representation of the sociospatial system, the land-use change process, and policy and planning intervention. After delimiting each world and the diffusion of CS thinking, the paper investigates how the classical approach and the CS approach fare in handling these issues. The analysis suggests that it is not yet possible to determine which approach is superior. The main points are summarized and CS specific and more general future research directions are indicated.

Suggested Citation

  • Helen Briassoulis, 2008. "Land-Use Policy and Planning, Theorizing, and Modeling: Lost in Translation, Found in Complexity?," Environment and Planning B, , vol. 35(1), pages 16-33, February.
  • Handle: RePEc:sae:envirb:v:35:y:2008:i:1:p:16-33
    DOI: 10.1068/b32166
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b32166
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b32166?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. David O'Sullivan & Mordechai Haklay, 2000. "Agent-Based Models and Individualism: Is the World Agent-Based?," Environment and Planning A, , vol. 32(8), pages 1409-1425, August.
    3. Helen Couclelis, 2005. "“Where has the Future Gone?†Rethinking the Role of Integrated Land-Use Models in Spatial Planning," Environment and Planning A, , vol. 37(8), pages 1353-1371, August.
    4. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    5. Perz, Stephen G. & Walker, Robert T., 2002. "Household Life Cycles and Secondary Forest Cover Among Small Farm Colonists in the Amazon," World Development, Elsevier, vol. 30(6), pages 1009-1027, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cayo Costa & Sugie Lee, 2019. "The Evolution of Urban Spatial Structure in Brasília: Focusing on the Role of Urban Development Policies," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
    2. Bryan, Brett Anthony & Crossman, Neville David, 2013. "Impact of multiple interacting financial incentives on land use change and the supply of ecosystem services," Ecosystem Services, Elsevier, vol. 4(C), pages 60-72.
    3. Jaekyung Lee & Galen Newman & Yunmi Park, 2018. "A Comparison of Vacancy Dynamics between Growing and Shrinking Cities Using the Land Transformation Model," Sustainability, MDPI, vol. 10(5), pages 1-17, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stephen M McCauley & John Rogan & James T Murphy & Billie L Turner & Samuel Ratick, 2015. "Modeling the Sociospatial Constraints on Land-Use Change: The Case of Periurban Sprawl in the Greater Boston Region," Environment and Planning B, , vol. 42(2), pages 221-241, April.
    2. Fraser J. Morgan & Philip Brown & Adam J. Daigneault, 2015. "Simulation vs. Definition: Differing Approaches to Setting Probabilities for Agent Behaviour," Land, MDPI, vol. 4(4), pages 1-24, September.
    3. Boeing, Geoff, 2017. "Methods and Measures for Analyzing Complex Street Networks and Urban Form," SocArXiv 93h82, Center for Open Science.
    4. Peter A Johnson & Renee E Sieber, 2011. "Negotiating Constraints to the Adoption of Agent-Based Modeling in Tourism Planning," Environment and Planning B, , vol. 38(2), pages 307-321, April.
    5. Pacheco, Pablo, 2009. "Agrarian Reform in the Brazilian Amazon: Its Implications for Land Distribution and Deforestation," World Development, Elsevier, vol. 37(8), pages 1337-1347, August.
    6. Kwok Hung Lau & Booi Hon Kam, 2005. "A Cellular Automata Model for Urban Land-Use Simulation," Environment and Planning B, , vol. 32(2), pages 247-263, April.
    7. Sébastien Marchand, 2011. "Technical Efficiency, Farm Size and Tropical Deforestation in the Brazilian Amazonian Forest," Working Papers halshs-00552981, HAL.
    8. José I Barredo & Luca Demicheli & Carlo Lavalle & Marjo Kasanko & Niall McCormick, 2004. "Modelling Future Urban Scenarios in Developing Countries: An Application Case Study in Lagos, Nigeria," Environment and Planning B, , vol. 31(1), pages 65-84, February.
    9. te Brömmelstroet, Marco, 2017. "Towards a pragmatic research agenda for the PSS domain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 77-83.
    10. Schielein, Johannes & Börner, Jan, 2018. "Recent transformations of land-use and land-cover dynamics across different deforestation frontiers in the Brazilian Amazon," Land Use Policy, Elsevier, vol. 76(C), pages 81-94.
    11. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    12. Constanza Fosco, 2012. "Spatial Difusion and Commuting Flows," Documentos de Trabajo en Economia y Ciencia Regional 30, Universidad Catolica del Norte, Chile, Department of Economics, revised Sep 2012.
    13. Caruso, Geoffrey & Peeters, Dominique & Cavailhes, Jean & Rounsevell, Mark, 2007. "Spatial configurations in a periurban city. A cellular automata-based microeconomic model," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 542-567, September.
    14. Kellermann, Konrad & Balmann, Alfons, 2006. "How Smart Should Farms Be Modeled? Behavioral Foundation of Bidding Strategies in Agent-Based Land Market Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25446, International Association of Agricultural Economists.
    15. Pacillo, Grazia, 2016. "Market participation, innovation adoption and poverty in rural Ghana," Economics PhD Theses 0916, Department of Economics, University of Sussex Business School.
    16. Stan Geertman & John Stillwell, 2020. "Planning support science: Developments and challenges," Environment and Planning B, , vol. 47(8), pages 1326-1342, October.
    17. Claudia Dislich & Elisabeth Hettig & Jan Salecker & Johannes Heinonen & Jann Lay & Katrin M Meyer & Kerstin Wiegand & Suria Tarigan, 2018. "Land-use change in oil palm dominated tropical landscapes—An agent-based model to explore ecological and socio-economic trade-offs," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-20, January.
    18. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    19. Fuhong Zhang & Apurbo Sarkar & Hongyu Wang, 2021. "Does Internet and Information Technology Help Farmers to Maximize Profit: A Cross-Sectional Study of Apple Farmers in Shandong, China," Land, MDPI, vol. 10(4), pages 1-18, April.
    20. Happe, Kathrin & Balmann, Alfons, 2002. "Struktur-, Effizienz- und Einkommenswirkungen von Direktzahlungen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 51(08), pages 1-13.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:35:y:2008:i:1:p:16-33. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.