Risk assessment of road infrastructures as key for adaptability measures selection
Main Author: | |
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Publication Date: | 2021 |
Other Authors: | , |
Language: | eng |
Source: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Download full: | http://hdl.handle.net/1822/76332 |
Summary: | Road infrastructures are one of the most important assets in the world due to the dependency on other critical infrastructures upon it. Society expects an uninterrupted availability of the road network, nevertheless it has become a difficult task as, in the last decades, climate change has significantly affected transport networks, especially due to the occurrence of extreme natural events leading to the disruption of the network. Those events include floods, wild fires, landslides and others, and all of them may increase both in frequency and intensity in the coming century. Therefore, there is a clear need for timely adaptation. Regarding those adaptability measures, an important step is needed to quantify how the transport network is directly and indirectly affected by extreme weather events, which can be obtained within a risk assessment. Nonetheless, there are many questions and variability about this topic such as uncertainties in projections of future climate, effects assessment, and how it can be an integration of all these aspects into the decision-making process. In that scope, this work de-scribes a risk assessment methodology having account the cause, effect, and consequence of extreme events in road networks to identify the major risks and therefore the assets that may be suitable to be analyzed within a selection of adaptation measures aiming at a holistic decision-making support tool. |
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Risk assessment of road infrastructures as key for adaptability measures selectionRoad infrastructuresRisk assessmentExtreme eventsAdaptability measuresEngenharia e Tecnologia::Engenharia CivilRoad infrastructures are one of the most important assets in the world due to the dependency on other critical infrastructures upon it. Society expects an uninterrupted availability of the road network, nevertheless it has become a difficult task as, in the last decades, climate change has significantly affected transport networks, especially due to the occurrence of extreme natural events leading to the disruption of the network. Those events include floods, wild fires, landslides and others, and all of them may increase both in frequency and intensity in the coming century. Therefore, there is a clear need for timely adaptation. Regarding those adaptability measures, an important step is needed to quantify how the transport network is directly and indirectly affected by extreme weather events, which can be obtained within a risk assessment. Nonetheless, there are many questions and variability about this topic such as uncertainties in projections of future climate, effects assessment, and how it can be an integration of all these aspects into the decision-making process. In that scope, this work de-scribes a risk assessment methodology having account the cause, effect, and consequence of extreme events in road networks to identify the major risks and therefore the assets that may be suitable to be analyzed within a selection of adaptation measures aiming at a holistic decision-making support tool.H2020 -Horizon 2020 Framework Programme(UIDB / 04029/2020)SpringerUniversidade do MinhoPatiño, Erica llovana ArangoSousa, Hélder S.Matos, José C.20212021-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/76332engArango, E., Sousa, H. and Matos, J. C. 2021. Risk assessment of road infrastructures as key for adaptability measures selection. In Matos, J.C. et al. Lecture Notes in Civil Engineering (18th International Probabilistic Workshop), Vo. 153, pp. 673-687. Springer Nature Switzerland AG. (https://doi.org/10.1007/978-3-030-73616-3_52)97830307361562366-255710.1007/978-3-030-73616-3_52The final publication is available at Springer: https://doi.org/10.1007/978-3-030-73616-3_52info: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:RCAAP2024-05-11T05:04:29Zoai:repositorium.sdum.uminho.pt:1822/76332Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T05:04:29Repositório 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 |
Risk assessment of road infrastructures as key for adaptability measures selection |
title |
Risk assessment of road infrastructures as key for adaptability measures selection |
spellingShingle |
Risk assessment of road infrastructures as key for adaptability measures selection Patiño, Erica llovana Arango Road infrastructures Risk assessment Extreme events Adaptability measures Engenharia e Tecnologia::Engenharia Civil |
title_short |
Risk assessment of road infrastructures as key for adaptability measures selection |
title_full |
Risk assessment of road infrastructures as key for adaptability measures selection |
title_fullStr |
Risk assessment of road infrastructures as key for adaptability measures selection |
title_full_unstemmed |
Risk assessment of road infrastructures as key for adaptability measures selection |
title_sort |
Risk assessment of road infrastructures as key for adaptability measures selection |
author |
Patiño, Erica llovana Arango |
author_facet |
Patiño, Erica llovana Arango Sousa, Hélder S. Matos, José C. |
author_role |
author |
author2 |
Sousa, Hélder S. Matos, José C. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Patiño, Erica llovana Arango Sousa, Hélder S. Matos, José C. |
dc.subject.por.fl_str_mv |
Road infrastructures Risk assessment Extreme events Adaptability measures Engenharia e Tecnologia::Engenharia Civil |
topic |
Road infrastructures Risk assessment Extreme events Adaptability measures Engenharia e Tecnologia::Engenharia Civil |
description |
Road infrastructures are one of the most important assets in the world due to the dependency on other critical infrastructures upon it. Society expects an uninterrupted availability of the road network, nevertheless it has become a difficult task as, in the last decades, climate change has significantly affected transport networks, especially due to the occurrence of extreme natural events leading to the disruption of the network. Those events include floods, wild fires, landslides and others, and all of them may increase both in frequency and intensity in the coming century. Therefore, there is a clear need for timely adaptation. Regarding those adaptability measures, an important step is needed to quantify how the transport network is directly and indirectly affected by extreme weather events, which can be obtained within a risk assessment. Nonetheless, there are many questions and variability about this topic such as uncertainties in projections of future climate, effects assessment, and how it can be an integration of all these aspects into the decision-making process. In that scope, this work de-scribes a risk assessment methodology having account the cause, effect, and consequence of extreme events in road networks to identify the major risks and therefore the assets that may be suitable to be analyzed within a selection of adaptation measures aiming at a holistic decision-making support tool. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/76332 |
url |
http://hdl.handle.net/1822/76332 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Arango, E., Sousa, H. and Matos, J. C. 2021. Risk assessment of road infrastructures as key for adaptability measures selection. In Matos, J.C. et al. Lecture Notes in Civil Engineering (18th International Probabilistic Workshop), Vo. 153, pp. 673-687. Springer Nature Switzerland AG. (https://doi.org/10.1007/978-3-030-73616-3_52) 9783030736156 2366-2557 10.1007/978-3-030-73616-3_52 The final publication is available at Springer: https://doi.org/10.1007/978-3-030-73616-3_52 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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 |
mluisa.alvim@gmail.com |
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1817544507005075456 |