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Complexity in Urban Development and Management

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  • Timothy M. Baynes

Abstract

Systems dynamics, cellular automata, agent‐based modeling, and network analyses have been used in population, land use, and transport planning models. An overview of complex systems science as applied to urban development is presented, and examples are given of where the problems of housing people and anticipating their movements have been addressed with complex approaches, sometimes in concert with deterministic, large‐scale urban models. Planning for cities today has additional environmental and social priorities in common with many topics that concern industrial ecology. The research agenda suggested here is that this, too, can be enriched with complex systems thinking and models to complement the often static assessment of environmental performance and better inform decision processes.

Suggested Citation

  • Timothy M. Baynes, 2009. "Complexity in Urban Development and Management," Journal of Industrial Ecology, Yale University, vol. 13(2), pages 214-227, April.
  • Handle: RePEc:bla:inecol:v:13:y:2009:i:2:p:214-227
    DOI: 10.1111/j.1530-9290.2009.00123.x
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    Cited by:

    1. Noronha Vaz, E. de & Nainggolan, D. & Nijkamp, P. & Painho, M., 2011. "A complex spatial systems analysis of tourism and urban sprawl in the Algarve," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Haochen Shi & Miaoxi Zhao & Duncan A. Simth & Bin Chi, 2021. "Behind the Land Use Mix: Measuring the Functional Compatibility in Urban and Sub-Urban Areas of China," Land, MDPI, vol. 11(1), pages 1-18, December.
    3. 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).
    4. Zhongming Lu & John Crittenden & Frank Southworth & Ellen Dunham-Jones, 2017. "An integrated framework for managing the complex interdependence between infrastructures and the socioeconomic environment: An application in metropolitan Atlanta," Urban Studies, Urban Studies Journal Limited, vol. 54(12), pages 2874-2893, September.
    5. Katrina Proust & Barry Newell & Helen Brown & Anthony Capon & Chris Browne & Anthony Burton & Jane Dixon & Lisa Mu & Monica Zarafu, 2012. "Human Health and Climate Change: Leverage Points for Adaptation in Urban Environments," IJERPH, MDPI, vol. 9(6), pages 1-25, June.
    6. Matti Kuronen, 2011. "Systems in partnership-based urban residential development," ERES eres2011_164, European Real Estate Society (ERES).
    7. Handi Chandra‐Putra & Clinton J. Andrews, 2020. "An integrated model of real estate market responses to coastal flooding," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 424-435, April.
    8. Marull, Joan & Farré, Mercè & Boix, Rafael & Palacio, Alan Bernardo & Ruiz-Forés, Núria, 2019. "Modelling urban networks sustainable progress," Land Use Policy, Elsevier, vol. 85(C), pages 73-91.
    9. Boeing, Geoff, 2017. "Methods and Measures for Analyzing Complex Street Networks and Urban Form," SocArXiv 93h82, Center for Open Science.
    10. Hsing-Fu Kuo & Ko-Wan Tsou, 2017. "Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis," Sustainability, MDPI, vol. 10(1), pages 1-21, December.
    11. Jun Zhang & Xue Zhang & Xueping Tan & Xiaodie Yuan, 2022. "Extraction of Urban Built-Up Area Based on Deep Learning and Multi-Sources Data Fusion—The Application of an Emerging Technology in Urban Planning," Land, MDPI, vol. 11(8), pages 1-19, August.

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