Conceptual Smart City KPI Model: A System Dynamics Modelling Approach

dc.contributor.authorAgbali, Mohammed
dc.contributor.authorTrillo, Claudia
dc.contributor.authorFernando, Terrence M.K.Gayani
dc.contributor.authorIbrahim, Isa Ali
dc.contributor.authorArayici, Yusuf
dc.date.accessioned2019-12-18T08:01:18Z
dc.date.available2019-12-18T08:01:18Z
dc.date.issued2019-01-14
dc.departmentHKÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description.abstractSmart City is becoming increasingly popular all over the word, gaining the status of paradigm for steering urban and regional strategies oriented to improve the citizens' quality of life through IT-led solutions. Despite of its international relevance, still consensus on its most significant components and their reciprocal influence does not exist. Building on a wide scholarship on Key Performance Indicators (KPI) for Smart Cities, this paper suggests that System Dynamics could provide an appropriate conceptual model for interpreting the dynamic interconnections among the core components of a Smart City-i.e., Smart Infrastructures, Smart Institutions and Smart People-. At this goal, this paper offers a novel application of System Dynamic, which is used to analyze a robust set of new data, collected in three different cities. The model allows modelling and interpreting the role played by each component in implementing the Smart City paradigm and offers a new perspective on how to diversify the concept of Smart City according to site-specific conditions. Findings show that whilst a Smart City in a mature stage is highly influenced by the people and the infrastructure, for a Smart City in a developing country it is mainly the smart infrastructure component that shall be emphasized. © 2018 IEEE.en_US
dc.identifier.citationAgbali, M., Trillo, C., Fernando, T., Ibrahim, I. A., Arayici, Y., & 2018 Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4). (October 01, 2018). Conceptual Smart City KPI Model: A System Dynamics Modelling Approach. 163-171.en_US
dc.identifier.doi10.1109/WorldS4.2018.8611565
dc.identifier.endpage162en_US
dc.identifier.issn978-153867280-8
dc.identifier.scopus2-s2.0-85062072866
dc.identifier.scopusqualityN/A
dc.identifier.startpage158en_US
dc.identifier.urihttps://doi.org/10.1109/WorldS4.2018.8611565
dc.identifier.urihttps://hdl.handle.net/20.500.11782/931
dc.identifier.wosN/A
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings of the 2nd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2018
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectSmart City Innovationen_US
dc.subjectSmart Infrastructureen_US
dc.subjectSmart Institutionen_US
dc.subjectSmart Peopleen_US
dc.subjectSustainable Urban Developmenten_US
dc.subjectSystem Dynamicsen_US
dc.titleConceptual Smart City KPI Model: A System Dynamics Modelling Approach
dc.typeArticle

Dosyalar

Orijinal paket

Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
10.1109WorldS4.2018.8611565.pdf
Boyut:
446.37 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Makele Dosyası

Lisans paketi

Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
license.txt
Boyut:
1.56 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: