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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
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
Exportar Referência (IEEE) 
B. C. Caboz et al.,  "“Quo vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling", in Int. Journal of Strategic Property Management, vol. 29, no. 3, pp. 158-173, 2025
Exportar BibTeX 
@article{caboz2025_1768386585400,
	author = "Caboz, B. C. S. and Ferreira, F. A. F. and Ferreira, N. C. M. Q. F. and Spahr, R. W. and Sunderman, M. A. and Santos, M. R.",
	title = "“Quo vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling",
	journal = "International Journal of Strategic Property Management",
	year = "2025",
	volume = "29",
	number = "3",
	doi = "10.3846/ijspm.2025.24051",
	pages = "158-173",
	url = "https://journals.vilniustech.lt/index.php/IJSPM/about"
}
Exportar RIS 
TY  - JOUR
TI  - “Quo vadis urban areas?”: (Re)thinking the future of urban areas using interpretive structural modeling
T2  - International Journal of Strategic Property Management
VL  - 29
IS  - 3
AU  - Caboz, B. C. S.
AU  - Ferreira, F. A. F.
AU  - Ferreira, N. C. M. Q. F.
AU  - Spahr, R. W.
AU  - Sunderman, M. A.
AU  - Santos, M. R.
PY  - 2025
SP  - 158-173
SN  - 1648-715X
DO  - 10.3846/ijspm.2025.24051
UR  - https://journals.vilniustech.lt/index.php/IJSPM/about
AB  - 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.
ER  -