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Slumulation: An Agent-Based Modeling Approach to Slum Formations

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Abstract

Slums provide shelter for nearly one third of the world's urban population, most of them in the developing world. Slumulation represents an agent-based model which explores questions such as i) how slums come into existence, expand or disappear ii) where and when they emerge in a city and iii) which processes may improve housing conditions for urban poor. The model has three types of agents that influence emergence or sustenance of slums in a city: households, developers and politicians, each of them playing distinct roles. We model a multi-scale spatial environment in a stylized form that has housing units at the micro-scale and electoral wards consisting of multiple housing units at the macro-scale. Slums emerge as a result of human-environment interaction processes and inter-scale feedbacks within our model.

Suggested Citation

  • Amit Patel & Andrew Crooks & Naoru Koizumi, 2012. "Slumulation: An Agent-Based Modeling Approach to Slum Formations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(4), pages 1-2.
  • Handle: RePEc:jas:jasssj:2011-81-4
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    Cited by:

    1. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.
    2. Chandan Deuskar, 2020. "Informal urbanisation and clientelism: Measuring the global relationship," Urban Studies, Urban Studies Journal Limited, vol. 57(12), pages 2473-2490, September.
    3. Majid Farooq & Fayma Mushtaq & Gowhar Meraj & Suraj Kumar Singh & Shruti Kanga & Ankita Gupta & Pankaj Kumar & Deepak Singh & Ram Avtar, 2022. "Strategic Slum Upgrading and Redevelopment Action Plan for Jammu City," Resources, MDPI, vol. 11(12), pages 1-29, December.
    4. Tellman, Beth & Eakin, Hallie & Janssen, Marco A. & de Alba, Felipe & Turner II, B.L., 2021. "The role of institutional entrepreneurs and informal land transactions in Mexico City’s urban expansion," World Development, Elsevier, vol. 140(C).
    5. Na Jiang & Andrew Crooks & Wenjing Wang & Yichun Xie, 2021. "Simulating Urban Shrinkage in Detroit via Agent-Based Modeling," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    6. Md Shahab Uddin & Mokbul Morshed Ahmad & Pennung Warnitchai, 2018. "Surge dynamics of disaster displaced populations in temporary urban shelters: future challenges and management issues," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 201-225, October.
    7. Макаров В.Л., 2013. "Социальное Моделирование Набирает Обороты," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 5-17, октябрь.
    8. Malik, Ammar A. & Crooks, Andrew T. & Root, Hilton L., 2013. "Can Pakistan have creative cities? An agent based modeling approach with preliminary application to Karachi:," PSSP working papers 13, International Food Policy Research Institute (IFPRI).
    9. G. B. Korovin, 2020. "Architecture of the agent-based model for the region’s industrial complex digital transformation," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 158-174, October.

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