“Quo vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling
| dc.contributor.author | Caboz, B. C. S. | |
| dc.contributor.author | Ferreira, F. A. F. | |
| dc.contributor.author | Ferreira, N. C. M. Q. F. | |
| dc.contributor.author | Spahr, R. W. | |
| dc.contributor.author | Sunderman, M. A. | |
| dc.contributor.author | Santos, M. R. | |
| dc.date.accessioned | 2025-06-20T11:31:36Z | |
| dc.date.available | 2025-06-20T11:31:36Z | |
| dc.date.issued | 2025 | |
| dc.date.updated | 2025-06-20T12:29:18Z | |
| dc.description.abstract | 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. | eng |
| dc.description.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.citation | 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 | |
| dc.identifier.doi | 10.3846/ijspm.2025.24051 | |
| dc.identifier.issn | 1648-715X | |
| dc.identifier.uri | http://hdl.handle.net/10071/34692 | |
| dc.language.iso | eng | |
| dc.number | 3 | |
| dc.pagination | 158 - 173 | |
| dc.peerreviewed | yes | |
| dc.publisher | Vilnius Gediminas Technical University | |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00315%2F2020/PT | |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04630%2F2020/PT | |
| dc.rights | open access | |
| dc.subject | Cognitive mapping | eng |
| dc.subject | Decision making | eng |
| dc.subject | Interpretive Structural Modeling (ISM) | eng |
| dc.subject | Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) | eng |
| dc.subject | Population density | eng |
| dc.subject | Urban areas | eng |
| dc.subject | World population | eng |
| dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Economia e Gestão | por |
| dc.title | “Quo vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling | eng |
| dc.type | article | |
| dc.volume | 29 | |
| dspace.entity.type | Publication | en |
| iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-111761 | |
| iscte.journal | International Journal of Strategic Property Management | |
| iscte.subject.ods | Cidades e comunidades sustentáveis | por |
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