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 |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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article_111761.pdf | 2,05 MB | Adobe PDF | Ver/Abrir |
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