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Factors influencing urban investment attractiveness: an FCM-SD approach

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Resumo:The increasing concentration of populations in urban areas in recent decades has strengthened the interest in – and the importance given to – these zones. Cities have become quite attractive from investors’ point of view because of the wide array of opportunities and growing need for investment in urban areas. Thus, city strategic planning quite often requires an understanding of the determinants that attract investment to urban zones. This study sought to identify the factors that strengthen urban investment based on the knowledge of a panel of experts. Fuzzy cognitive mapping techniques were applied to understand the concepts and decision criteria included in the decision-support model and their cause-and-effect relationships. The results provide insights into which determinants most strongly influence urban investment, namely, infrastructure, supporting services, and political-administrative factors. Diverse scenarios at the intra- and inter-cluster levels were created to clarify the impacts of variable changes on the model developed. The findings were validated by both the expert panel members and the vice-president of the Portuguese Association of Real Estate Developers and Investors. Advantages and limitations of the proposed framework are presented, as well as recommendations for future research.
Autores principais:Correia, J.
Outros Autores:Ferreira, F.; Meidute-Kavaliauskiene, I.; Pereira, L.; Zopounidis, C.; Correia, R.
Assunto:Decision aid (Fuzzy) cognitive mapping Strategic planning System dynamics Urban investment attractiveness Urban planning
Ano:2020
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:ISCTE
Idioma:inglês
Origem:Repositório ISCTE
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author Correia, J.
author2 Ferreira, F.
Meidute-Kavaliauskiene, I.
Pereira, L.
Zopounidis, C.
Correia, R.
author2_role author
author
author
author
author
author_facet Correia, J.
Ferreira, F.
Meidute-Kavaliauskiene, I.
Pereira, L.
Zopounidis, C.
Correia, R.
author_role author
country_str PT
creators_json_txt [{\"Person.name\":\"Correia, J.\"},{\"Person.name\":\"Ferreira, F.\"},{\"Person.name\":\"Meidute-Kavaliauskiene, I.\"},{\"Person.name\":\"Pereira, L.\"},{\"Person.name\":\"Zopounidis, C.\"},{\"Person.name\":\"Correia, R.\"}]
datacite.creators.creator.creatorName.fl_str_mv Correia, J.
Ferreira, F.
Meidute-Kavaliauskiene, I.
Pereira, L.
Zopounidis, C.
Correia, R.
datacite.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2020-07-01T10:54:43Z
datacite.date.embargoed.fl_str_mv 2020-07-01T10:54:43Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Decision aid
(Fuzzy) cognitive mapping
Strategic planning
System dynamics
Urban investment attractiveness
Urban planning
datacite.titles.title.fl_str_mv Factors influencing urban investment attractiveness: an FCM-SD approach
dc.creator.none.fl_str_mv Correia, J.
Ferreira, F.
Meidute-Kavaliauskiene, I.
Pereira, L.
Zopounidis, C.
Correia, R.
dc.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
dc.date.available.fl_str_mv 2020-07-01T10:54:43Z
dc.date.embargoed.fl_str_mv 2020-07-01T10:54:43Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10071/20550
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Vilnius Gediminas Technical University
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Decision aid
(Fuzzy) cognitive mapping
Strategic planning
System dynamics
Urban investment attractiveness
Urban planning
dc.title.fl_str_mv Factors influencing urban investment attractiveness: an FCM-SD approach
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The increasing concentration of populations in urban areas in recent decades has strengthened the interest in – and the importance given to – these zones. Cities have become quite attractive from investors’ point of view because of the wide array of opportunities and growing need for investment in urban areas. Thus, city strategic planning quite often requires an understanding of the determinants that attract investment to urban zones. This study sought to identify the factors that strengthen urban investment based on the knowledge of a panel of experts. Fuzzy cognitive mapping techniques were applied to understand the concepts and decision criteria included in the decision-support model and their cause-and-effect relationships. The results provide insights into which determinants most strongly influence urban investment, namely, infrastructure, supporting services, and political-administrative factors. Diverse scenarios at the intra- and inter-cluster levels were created to clarify the impacts of variable changes on the model developed. The findings were validated by both the expert panel members and the vice-president of the Portuguese Association of Real Estate Developers and Investors. Advantages and limitations of the proposed framework are presented, as well as recommendations for future research.
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eu_rights_str_mv openAccess
format article
id iscte_f780d1902bb052d7a3a5f44443ba6db5
identifier.url.fl_str_mv http://hdl.handle.net/10071/20550
instacron_str iscte
institution ISCTE
instname_str ISCTE
language eng
network_acronym_str iscte
network_name_str Repositório ISCTE
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/20550
organization_str_mv urn:organizationAcronym:iscte
person_str_mv Correia, J.
Ferreira, F.
Meidute-Kavaliauskiene, I.
Pereira, L.
Zopounidis, C.
Correia, R.
publishDate 2020
publisher.none.fl_str_mv Vilnius Gediminas Technical University
reponame_str Repositório ISCTE
repository_id_str urn:repositoryAcronym:iscte
service_str_mv urn:repositoryAcronym:iscte
spelling engThe increasing concentration of populations in urban areas in recent decades has strengthened the interest in – and the importance given to – these zones. Cities have become quite attractive from investors’ point of view because of the wide array of opportunities and growing need for investment in urban areas. Thus, city strategic planning quite often requires an understanding of the determinants that attract investment to urban zones. This study sought to identify the factors that strengthen urban investment based on the knowledge of a panel of experts. Fuzzy cognitive mapping techniques were applied to understand the concepts and decision criteria included in the decision-support model and their cause-and-effect relationships. The results provide insights into which determinants most strongly influence urban investment, namely, infrastructure, supporting services, and political-administrative factors. Diverse scenarios at the intra- and inter-cluster levels were created to clarify the impacts of variable changes on the model developed. The findings were validated by both the expert panel members and the vice-president of the Portuguese Association of Real Estate Developers and Investors. Advantages and limitations of the proposed framework are presented, as well as recommendations for future research.application/pdfengVilnius Gediminas Technical UniversityengFactors influencing urban investment attractiveness: an FCM-SD approachCorreia, J.Ferreira, F.Meidute-Kavaliauskiene, I.Pereira, L.Zopounidis, C.Correia, R.Handlehttp://hdl.handle.net/10071/20550ISSNIsPartOf1648-715XDOIIsPartOf10.3846/ijspm.2020.123842020-07-01T10:54:43Z2020-01-01T00:00:00Z20202020-07-01T11:54:03Zhttp://purl.org/coar/access_right/c_abf2open accessengDecision aideng(Fuzzy) cognitive mappingengStrategic planningengSystem dynamicsengUrban investment attractivenessengUrban planning1023738 byteshttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.iscte-iul.pt/bitstreams/edc8ca59-e252-41d2-9a1f-fe492eeea6b3/downloadliteraturehttp://purl.org/coar/resource_type/c_6501journal article
spellingShingle Factors influencing urban investment attractiveness: an FCM-SD approach
Correia, J.
Decision aid
(Fuzzy) cognitive mapping
Strategic planning
System dynamics
Urban investment attractiveness
Urban planning
status SINGLETON
subject.fl_str_mv Decision aid
(Fuzzy) cognitive mapping
Strategic planning
System dynamics
Urban investment attractiveness
Urban planning
title Factors influencing urban investment attractiveness: an FCM-SD approach
title_full Factors influencing urban investment attractiveness: an FCM-SD approach
title_fullStr Factors influencing urban investment attractiveness: an FCM-SD approach
title_full_unstemmed Factors influencing urban investment attractiveness: an FCM-SD approach
title_short Factors influencing urban investment attractiveness: an FCM-SD approach
title_sort Factors influencing urban investment attractiveness: an FCM-SD approach
topic Decision aid
(Fuzzy) cognitive mapping
Strategic planning
System dynamics
Urban investment attractiveness
Urban planning
topic_facet Decision aid
(Fuzzy) cognitive mapping
Strategic planning
System dynamics
Urban investment attractiveness
Urban planning
url http://hdl.handle.net/10071/20550
visible 1