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Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation

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  • González-Méndez, Mauricio
  • Olaya, Camilo
  • Fasolino, Isidoro
  • Grimaldi, Michele
  • Obregón, Nelson

Abstract

A city comprises an ecological environment, a living and architectural space, the product of a history of human interactions that determines its morphology and destiny. Cities are complex systems that encompass elements of diverse types, such as natural objects, technical artifacts, human actors and social entities, including the rules or laws governing their behavior. Despite cities complexity, conventional urban policy models have focused on expanding and building places geared toward satisfying economic activities and markets. In this paper we propose an agent based model (ABM) for urban development planning based on the relationship between city inhabitants and the satisfaction of their basic needs with their physical environment. Our design recognizes human complexity within the urban contexts and establishes a new method for planning city development with the help of a tool geared toward simulating participation. This simulation platform makes it possible to consider the effects of human behavior as a determinant of the success or failure of urban interventions from the point of view of planning. The central elements of the simulation model are the relationship of each individual to the physical environment of the city and the satisfaction of their basic needs. This simulation platform can be used as a starting point on a collective and prospective vision of the city, grounded in the approach and experience of participatory modeling with multiple stakeholders.

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  • González-Méndez, Mauricio & Olaya, Camilo & Fasolino, Isidoro & Grimaldi, Michele & Obregón, Nelson, 2021. "Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation," Land Use Policy, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:lauspo:v:101:y:2021:i:c:s026483771931169x
    DOI: 10.1016/j.landusepol.2020.105110
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    References listed on IDEAS

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    Cited by:

    1. Lei, Weiqian & Jiao, Limin & Xu, Gang, 2022. "Understanding the urban scaling of urban land with an internal structure view to characterize China’s urbanization," Land Use Policy, Elsevier, vol. 112(C).
    2. Indraja Germanaite & Kestutis Zaleckis & Rimantas Butleris, 2022. "SPDIAM: Methodology for Describing and Solving Spatial Problems in Territorial Planning," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    3. Giuseppe Salvia & Irene Pluchinotta & Ioanna Tsoulou & Gemma Moore & Nici Zimmermann, 2022. "Understanding Urban Green Space Usage through Systems Thinking: A Case Study in Thamesmead, London," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
    4. Ai, Bin & Xie, Dixiang & Ma, Shifa & Jiang, Haiyan, 2022. "An EasyCA model with few steady variables and clone stamp strategy for simulation of urban growth in metropolitan areas," Ecological Modelling, Elsevier, vol. 468(C).
    5. D’Adamo, Idiano & Gastaldi, Massimo & Ioppolo, Giuseppe & Morone, Piergiuseppe, 2022. "An analysis of Sustainable Development Goals in Italian cities: Performance measurements and policy implications," Land Use Policy, Elsevier, vol. 120(C).
    6. Ghavami, Seyed Morsal & Taleai, Mohammad & Arentze, Theo, 2022. "An intelligent web-based spatial group decision support system to investigate the role of the opponents’ modeling in urban land use planning," Land Use Policy, Elsevier, vol. 120(C).
    7. Foramitti, Joël, 2023. "A framework for agent-based models of human needs and ecological limits," Ecological Economics, Elsevier, vol. 204(PA).

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