Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/142632 |
Resumo: | The objective of this paper is to provide an overview of the main potentials and challenges of implementing an AI system in public transport. Given the multidimensionality of cities and the operational excellence required in public transport, innovative technologies should be promoted mainly by external stakeholders due to uncertainty. From an internal perspective, public mobility organizations need to focus on the data and infrastructure required to implement a safe and human-centric AI approach. This will only be sustainable if it benefits everyone. In addition, the potential of SWOT as a helpful tool for defining successful AI strategies is highlighted. |
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Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobilityUrban mobilitySustainable developmentTechnology strategyArtificial intelligenceSdg11Domínio/Área Científica::Ciências Sociais::Economia e GestãoThe objective of this paper is to provide an overview of the main potentials and challenges of implementing an AI system in public transport. Given the multidimensionality of cities and the operational excellence required in public transport, innovative technologies should be promoted mainly by external stakeholders due to uncertainty. From an internal perspective, public mobility organizations need to focus on the data and infrastructure required to implement a safe and human-centric AI approach. This will only be sustainable if it benefits everyone. In addition, the potential of SWOT as a helpful tool for defining successful AI strategies is highlighted.Castro, JoãoRUNHohenstein, Constantin Friedrich Lorenzo Graf Von Thun Und2022-01-182021-12-162025-12-16T00:00:00Z2022-01-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttp://hdl.handle.net/10362/142632TID:203021827enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:20:28Zoai:run.unl.pt:10362/142632Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:26.553185Repositório 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 |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility |
title |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility |
spellingShingle |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility Hohenstein, Constantin Friedrich Lorenzo Graf Von Thun Und Urban mobility Sustainable development Technology strategy Artificial intelligence Sdg11 Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility |
title_full |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility |
title_fullStr |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility |
title_full_unstemmed |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility |
title_sort |
Artificial intelligence as a strategic tool for sustainable transport systems: using expert interviews to identify strengths, weaknesses, opportunities and threats of integrating ai into urban mobility |
author |
Hohenstein, Constantin Friedrich Lorenzo Graf Von Thun Und |
author_facet |
Hohenstein, Constantin Friedrich Lorenzo Graf Von Thun Und |
author_role |
author |
dc.contributor.none.fl_str_mv |
Castro, João RUN |
dc.contributor.author.fl_str_mv |
Hohenstein, Constantin Friedrich Lorenzo Graf Von Thun Und |
dc.subject.por.fl_str_mv |
Urban mobility Sustainable development Technology strategy Artificial intelligence Sdg11 Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Urban mobility Sustainable development Technology strategy Artificial intelligence Sdg11 Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
The objective of this paper is to provide an overview of the main potentials and challenges of implementing an AI system in public transport. Given the multidimensionality of cities and the operational excellence required in public transport, innovative technologies should be promoted mainly by external stakeholders due to uncertainty. From an internal perspective, public mobility organizations need to focus on the data and infrastructure required to implement a safe and human-centric AI approach. This will only be sustainable if it benefits everyone. In addition, the potential of SWOT as a helpful tool for defining successful AI strategies is highlighted. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-16 2022-01-18 2022-01-18T00:00:00Z 2025-12-16T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/142632 TID:203021827 |
url |
http://hdl.handle.net/10362/142632 |
identifier_str_mv |
TID:203021827 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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 |
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1799138101239480320 |