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作者

Gabriel Villas Boas de A. Lima;Ana Catarina Gandra de Carvalho;Frederico Guilherme P. Moreira;Gisa Helena Melo Bassalo

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.147,Issue4

语言

英文

关键字

作者单位

B.Sc. Civil Engineering, Master’s Degree Student, Graduate Program in Civil Engineering (PPGEC), Federal Univ. of Pará—UFPA, Augusto Corrêa Street 01, Guamá, Belém 66075-110, Brazil (corresponding author). ORCID: https://orcid.org/0000-0001-7089-7421. Email: [email protected];B.Sc. Civil Engineering, Master’s Degree Student, Graduate Program in Civil Engineering (PPGEC), Federal Univ. of Pará—UFPA, Augusto Corrêa Street 01, Guamá, Belém 66075-110, Brazil. ORCID; https://orcid.org/0000-0003-3050-1933. Email: [email protected];D.Sc. Production Engineering, Adjunct Professor, Graduate Program in Civil Engineering (PPGEC), Federal Univ. of Pará—UFPA, Augusto Corrêa Street 01, Guamá, Belém 66075-110, Brazil. ORCID: https://orcid.org/0000-0002-7973-2647. Email: [email protected];D.Sc. Production Engineering, Adjunct Professor, Faculty of Architecture and Urbanism (FAU), Federal Univ. of Pará—UFPA, Augusto Corrêa Street 01, Guamá, Belém 66075-110, Brazil. ORCID: https://orcid.org/0000-0001-7094-9447. Email: [email protected]

摘要

This study proposed to explore real estate trends in the high-rise housing market in Belém, Northern Brazil. We based the theoretical approach on the macroeconomic, territorial, and social elements of the high-rise segment both in national and international contexts. The sample comprised 137 high-rise projects launched throughout the 2005–2017 period. A quadratic regression model confirmed real estate susceptibility to macroeconomic oscillation. A geographically weighted regression model revealed that larger dwellings were launched more in upper-income, lower formal employment rate, and lower infrastructure coverage regions of Belém. A multinomial logit regression model established differences in the launching likelihood between different categories of housing size projects. The outcomes were compared with worldwide tendencies, seeking both common and unique patterns of real estate exploitation. The methodological forms of exploring real estate trends in developing countries—which are scarcer—add significant scientific value for the urban planning community, as they assist public policy by identifying the susceptibility of urban areas to land exploitation, in addition to enabling replication of such real estate diagnostics in other cities of emerging countries.