IDEAS home Printed from https://ideas.repec.org/a/gam/jgeogr/v2y2022i1p10-160d774950.html
   My bibliography  Save this article

The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data

Author

Listed:
  • Glen Searle

    (School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4076, Australia)

  • Siqin Wang

    (School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4076, Australia)

  • Michael Batty

    (The Bartlett Centre for Advanced Spatial Analysis, University College London, London WC1E 6BT, UK)

  • Yan Liu

    (School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4076, Australia)

Abstract

This paper considers whether existing approaches for quantifying variables in cellular automata (CA) modelling adequately incorporate all the relevant factors in typical actor decisions underpinning urban development. A survey of developers and planners is used to identify factors they incorporate to allow for or proceed with development, using South East Queensland as a reference region. Three types of decision factors are identified and ranked in order of importance: those that are already modelled in CA applications; those that are not modelled but are quantifiable; and those that are not (easily) quantifiable because they are subjective in nature. Factors identified in the second category include development height/scale, open space supply, and existing infrastructure capacity. Factors identified in the third category include political intent, community opposition, and lifestyle quality. Drawing on our analysis of these factors we suggest how and to what extent survey data might be used to address the challenges of incorporating actor variables into the CA modelling of urban change. The paper represents the first attempt to review what decision factors should be included in CA modelling, and how this might be enabled.

Suggested Citation

  • Glen Searle & Siqin Wang & Michael Batty & Yan Liu, 2022. "The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data," Geographies, MDPI, vol. 2(1), pages 1-16, March.
    • Handle: RePEc:gam:jgeogr:v:2:y:2022:i:1:p:10-160:d:774950
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2673-7086/2/1/10/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2673-7086/2/1/10/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Storper & Michael Manville, 2006. "Behaviour, Preferences and Cities: Urban Theory and Urban Resurgence," Urban Studies, Urban Studies Journal Limited, vol. 43(8), pages 1247-1274, July.
    2. Graham Wood & Julia Becker, 2005. "Discretionary Judgement in Local Planning Authority Decision Making: Screening Development Proposals for Environmental Impact Assessment," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(3), pages 349-371.
    3. Claes Andersson & Koen Frenken & Alexander Hellervik, 2006. "A Complex Network Approach to Urban Growth," Environment and Planning A, , vol. 38(10), pages 1941-1964, October.
    4. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 57-72, March.
    5. Murray, Cameron K., 2020. "Time is money: How landbanking constrains housing supply," Journal of Housing Economics, Elsevier, vol. 49(C).
    6. Agung Wahyudi & Yan Liu & Jonathan Corcoran, 2021. "Simulating the impact of developers’ capital possession on urban development across a megacity: An agent-based approach," Environment and Planning B, , vol. 48(2), pages 376-391, February.
    Full references (including those not matched with items on IDEAS)

    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. Roberto Aringhieri & Giuliana Carello & Daniela Morale, 2016. "Supporting decision making to improve the performance of an Italian Emergency Medical Service," Annals of Operations Research, Springer, vol. 236(1), pages 131-148, January.
    2. Nijkamp Peter, 2012. "Behaviour of Humans and Behaviour of Models in Dynamic Space," Quaestiones Geographicae, Sciendo, vol. 31(2), pages 7-19, June.
    3. Zhai, Xueting & Zhong, Dixi & Luo, Qiuju, 2019. "Turn it around in crisis communication: An ABM approach," Annals of Tourism Research, Elsevier, vol. 79(C).
    4. Murray, Cameron & Limb, Mark, 2020. "We zoned for density and got higher house prices: Supply and price effects of upzoning over 20 years," OSF Preprints zkt7v, Center for Open Science.
    5. Lamieri, Marco & Bertacchini, Enrico, 2006. "What if Hayek goes shopping in the bazaar?," MPRA Paper 367, University Library of Munich, Germany, revised 21 Jun 2006.
    6. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    7. Tao Zhang & William J. Nuttall, 2007. "An Agent Based Simulation of Smart Metering Technology Adoption," Working Papers EPRG 0727, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. Nick Malleson & Andrew Evans & Tony Jenkins, 2009. "An Agent-Based Model of Burglary," Environment and Planning B, , vol. 36(6), pages 1103-1123, December.
    9. Gomes, Sharlene L. & Hermans, Leon M. & Thissen, Wil A.H., 2018. "Extending community operational research to address institutional aspects of societal problems: Experiences from peri-urban Bangladesh," European Journal of Operational Research, Elsevier, vol. 268(3), pages 904-917.
    10. Helene Martin‐Brelot & Michel Grossetti & Denis Eckert & Olga Gritsai & Zoltán Kovács, 2010. "The Spatial Mobility of the ‘Creative Class’: A European Perspective," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 34(4), pages 854-870, December.
    11. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    12. Pietro Terna, 2000. "Sum: A Surprising (Un)Realistic Market - Building A Simple Stock Market Structure With Swarm," Computing in Economics and Finance 2000 173, Society for Computational Economics.
    13. Murray, Cameron & Gordon, Josh, 2021. "Land as airspace: How rezoning privatizes public space (and why governments should not give it away for free)," OSF Preprints v89fg, Center for Open Science.
    14. Kristensen, Søren Bech Pilgaard & Præstholm, Søren & Busck, Anne Gravsholt & Winther, Lars & Fertner, Christian & Vesterager, Jens Peter & Vejre, Henrik, 2019. "On-farm Business Structure Diversification in Greater Copenhagen—Farmers in an urban landscape or entrepreneurs in a rural landscape?," Land Use Policy, Elsevier, vol. 88(C).
    15. Stephen Syrett & Leandro Sepulveda, 2011. "Realising the Diversity Dividend: Population Diversity and Urban Economic Development," Environment and Planning A, , vol. 43(2), pages 487-504, February.
    16. Christoph Alfken & Tom Broekel & Rolf Sternberg, 2015. "Factors Explaining the Spatial Agglomeration of the Creative Class: Empirical Evidence for German Artists," European Planning Studies, Taylor & Francis Journals, vol. 23(12), pages 2438-2463, December.
    17. Niusha Esmaeilpoorarabi & Tan Yigitcanlar & Mirko Guaralda, 2016. "Place quality and urban competitiveness symbiosis? A position paper," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 7(1), pages 4-21.
    18. Wilczyński Witold & Wilczyński Piotr, 2011. "Population of American Cities: 1950-2009," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 16(16), pages 153-172, January.
    19. Nicolas Brisset, 2016. "Institutions as Emergent Phenomena: Redefining Downward Causation," Working Papers halshs-01425669, HAL.
    20. Teulings, Coen & Lange, Rutger-Jan, 2021. "The option value of vacant land: Don't build when demand for housing is booming," CEPR Discussion Papers 16023, C.E.P.R. Discussion Papers.

    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:gam:jgeogr:v:2:y:2022:i:1:p:10-160:d:774950. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.