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Dynamic Models for Exploring the Resilience in Territorial Scenarios

Author

Listed:
  • Vanessa Assumma

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10129 Torino, Italy)

  • Marta Bottero

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10129 Torino, Italy)

  • Giulia Datola

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10129 Torino, Italy)

  • Elena De Angelis

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10129 Torino, Italy)

  • Roberto Monaco

    (Former Full Professor, Politecnico di Torino, 10129 Torino, Italy)

Abstract

The present paper focuses on the role covered by dynamic models as support for the decision-making process in the evaluation of policies and actions for increasing the resilience of cities and territories. In recent decades, urban resilience has been recognized as a dynamic and multidimensional phenomenon that characterizes urban and metropolitan area dynamics. Therefore, it may be considered a fundamental aspect of urban and territorial planning. The employment of quantitative methods, such as dynamic models, is useful for the prediction of the dynamic behavior of territories and of their resilience. The present work discusses the system dynamics model and the Lotka–Volterra cooperative systems and shows how these models can aid technicians in resilience assessment and also decision makers in the definition of policies and actions, especially if integrated in wide evaluation frameworks for urban resilience achievements. This paper aims to provide an epistemological perspective of the application of dynamic models in resilience assessment, underlying the possible contribution to this issue through the analysis of a real case study and methodological framework. The main objective of this work is to lay the basis for future compared applications of these two models to the same case study.

Suggested Citation

  • Vanessa Assumma & Marta Bottero & Giulia Datola & Elena De Angelis & Roberto Monaco, 2019. "Dynamic Models for Exploring the Resilience in Territorial Scenarios," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:3-:d:299088
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    Cited by:

    1. Datola, Giulia & Bottero, Marta & De Angelis, Elena & Romagnoli, Francesco, 2022. "Operationalising resilience: A methodological framework for assessing urban resilience through System Dynamics Model," Ecological Modelling, Elsevier, vol. 465(C).

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