Smart cities

Detalhes bibliográficos
Autor(a) principal: Albuquerque, Vitória
Data de Publicação: 2021
Outros Autores: Oliveira, Ana, Barbosa, Jorge Lourenço, Rodrigues, Rui Simão, Andrade, Francisco, Dias, Miguel Sales, Ferreira, João Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/119249
Resumo: Albuquerque, V., Oliveira, A., Barbosa, J. L., Rodrigues, R. S., Andrade, F., Dias, M. S., & Ferreira, J. C. (2021). Smart cities: Data‐driven solutions to understand disruptive problems in transportation—the lisbon case study. Energies, 14(11), 1-25. [3044]. https://doi.org/10.3390/en14113044
id RCAP_5dcd237f063749a72a1d8bf06f614192
oai_identifier_str oai:run.unl.pt:10362/119249
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Smart citiesData‐driven solutions to understand disruptive problems in transportation—the lisbon case studyAccidentsData visualizationData‐drivenSmart citiesTrafficTransportationRenewable Energy, Sustainability and the EnvironmentFuel TechnologyEnergy Engineering and Power TechnologyEnergy (miscellaneous)Control and OptimizationElectrical and Electronic EngineeringSDG 7 - Affordable and Clean EnergySDG 11 - Sustainable Cities and CommunitiesAlbuquerque, V., Oliveira, A., Barbosa, J. L., Rodrigues, R. S., Andrade, F., Dias, M. S., & Ferreira, J. C. (2021). Smart cities: Data‐driven solutions to understand disruptive problems in transportation—the lisbon case study. Energies, 14(11), 1-25. [3044]. https://doi.org/10.3390/en14113044Transportation data in a smart city environment is increasingly becoming available. This data availability allows building smart solutions that are viewed as meaningful by both city residents and city management authorities. Our research work was based on Lisbon mobility data available through the local municipality, where we integrated and cleaned different data sources and applied a CRISP‐DM approach using Python. We focused on mobility problems and interdependence and cascading‐effect solutions for the city of Lisbon. We developed data‐driven approaches using artificial intelligence and visualization methods to understand traffic and accident problems, providing a big picture to competent authorities and supporting the city in being more prepared, adaptable, and responsive, and better able to recover from such events.NOVA Information Management School (NOVA IMS)RUNAlbuquerque, VitóriaOliveira, AnaBarbosa, Jorge LourençoRodrigues, Rui SimãoAndrade, FranciscoDias, Miguel SalesFerreira, João Carlos2021-06-14T22:16:32Z2021-06-012021-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article25application/pdfhttp://hdl.handle.net/10362/119249eng1996-1073PURE: 31944705https://doi.org/10.3390/en14113044info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:01:46Zoai:run.unl.pt:10362/119249Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:00.102725Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Smart cities
Data‐driven solutions to understand disruptive problems in transportation—the lisbon case study
title Smart cities
spellingShingle Smart cities
Albuquerque, Vitória
Accidents
Data visualization
Data‐driven
Smart cities
Traffic
Transportation
Renewable Energy, Sustainability and the Environment
Fuel Technology
Energy Engineering and Power Technology
Energy (miscellaneous)
Control and Optimization
Electrical and Electronic Engineering
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
title_short Smart cities
title_full Smart cities
title_fullStr Smart cities
title_full_unstemmed Smart cities
title_sort Smart cities
author Albuquerque, Vitória
author_facet Albuquerque, Vitória
Oliveira, Ana
Barbosa, Jorge Lourenço
Rodrigues, Rui Simão
Andrade, Francisco
Dias, Miguel Sales
Ferreira, João Carlos
author_role author
author2 Oliveira, Ana
Barbosa, Jorge Lourenço
Rodrigues, Rui Simão
Andrade, Francisco
Dias, Miguel Sales
Ferreira, João Carlos
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Albuquerque, Vitória
Oliveira, Ana
Barbosa, Jorge Lourenço
Rodrigues, Rui Simão
Andrade, Francisco
Dias, Miguel Sales
Ferreira, João Carlos
dc.subject.por.fl_str_mv Accidents
Data visualization
Data‐driven
Smart cities
Traffic
Transportation
Renewable Energy, Sustainability and the Environment
Fuel Technology
Energy Engineering and Power Technology
Energy (miscellaneous)
Control and Optimization
Electrical and Electronic Engineering
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
topic Accidents
Data visualization
Data‐driven
Smart cities
Traffic
Transportation
Renewable Energy, Sustainability and the Environment
Fuel Technology
Energy Engineering and Power Technology
Energy (miscellaneous)
Control and Optimization
Electrical and Electronic Engineering
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
description Albuquerque, V., Oliveira, A., Barbosa, J. L., Rodrigues, R. S., Andrade, F., Dias, M. S., & Ferreira, J. C. (2021). Smart cities: Data‐driven solutions to understand disruptive problems in transportation—the lisbon case study. Energies, 14(11), 1-25. [3044]. https://doi.org/10.3390/en14113044
publishDate 2021
dc.date.none.fl_str_mv 2021-06-14T22:16:32Z
2021-06-01
2021-06-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/119249
url http://hdl.handle.net/10362/119249
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1996-1073
PURE: 31944705
https://doi.org/10.3390/en14113044
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 25
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799138048541196288

Registros relacionados