Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/34692
Autoria: Caboz, B. C. S.
Ferreira, F. A. F.
Ferreira, N. C. M. Q. F.
Spahr, R. W.
Sunderman, M. A.
Santos, M. R.
Data: 2025
Título próprio: “Quo vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling
Título da revista: International Journal of Strategic Property Management
Volume: 29
Número: 3
Paginação: 158 - 173
Referência bibliográfica: Caboz, B. C. S., Ferreira, F. A. F., Ferreira, N. C. M. Q. F., Spahr, R. W., Sunderman, M. A., & Santos, M. R. (2025). “Quo vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling. International Journal of Strategic Property Management, 29(3), 158-173. https://doi.org/10.3846/ijspm.2025.24051
ISSN: 1648-715X
DOI (Digital Object Identifier): 10.3846/ijspm.2025.24051
Palavras-chave: Cognitive mapping
Decision making
Interpretive Structural Modeling (ISM)
Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC)
Population density
Urban areas
World population
Resumo: The world’s population continues to grow at an unprecedented rate, with urban areas experiencing a more rapid rise in population density than rural regions. This demographic shift compels decision-makers to address pressing urban challenges and rethink future structures of cities. However, a vision for global sustainable urban growth remains elusive, as planners often lack comprehensive, credible and dynamic models to guide decision-making. The main purpose of this study is to propose a process-oriented methodology that integrates cognitive mapping, interpretive structural modeling (ISM) and a matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis to evaluate and prioritize key determinants of urban development. Group work sessions involving decision-makers from diverse fields were conducted to identify critical variables influencing urban development. Unlike traditional models, the proposed approach emphasizes participatory decision-making. By combining cognitive mapping and ISM-MICMAC, this study enables the identification of causal relationships among variables and allows decision-makers to anticipate trends and prioritize challenges effectively. The findings were further validated by an external expert to ensure neutrality and reliability. Overall, this study provides a theoretical contribution to decision-making methodologies while offering a practical framework for urban planners to influence cities toward a sustainable future.
Arbitragem científica: yes
Acesso: Acesso Aberto
Aparece nas coleções:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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