Integrating road traffic externalities through a sustainability indicator

Detalhes bibliográficos
Autor(a) principal: Fernandes, P.
Data de Publicação: 2019
Outros Autores: Vilaça, M., Macedo, E., Sampaio, C., Bahmankhah, B., Bandeira, J. M., Guarnaccia, C., Rafael, S., Fernandes, A. P., Relvas, H., Borrego, C., Coelho, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/26349
Resumo: Road traffic poses negative externalities on society and represents a key challenge in sustainable transportation. However, the existing literature about the assessment of traffic externalities drawn on a common measure is scarce. This paper develops a sustainability indicator that integrates traffic-related externalities as means of traffic congestion, noise, greenhouse gases (GHG) and nitrogen oxides emissions, health impacts and road crash related costs, and adjusted to local contexts of vulnerability. Traffic, road crashes, acoustic and vehicle dynamic data were collected from one real-world intercity corridor pair comprising three alternative routes. The site-specific operations were characterized using a modeling platform of traffic, emissions, noise and air quality. A specific methodology is applied for each road traffic externality and translated in a single factor - external cost. The results indicated that road crashes presented the largest share in the partly rural/urban route while GHG emissions had the highest contribution in external costs for the highway routes. Also, the distribution of external cost component varied according to the type of road, mostly due to different levels of exposed inhabitants. This paper offers a line of research that produced a method for decision-makers with a reliable and flexible cost analysis aimed at reducing the negative impacts of road traffic. It also encourages the design of eco-traffic management policies considering the perspective of drivers, commuters and population.
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spelling Integrating road traffic externalities through a sustainability indicatorSustainability indicatorExternal costsRoad trafficModelingRoad traffic poses negative externalities on society and represents a key challenge in sustainable transportation. However, the existing literature about the assessment of traffic externalities drawn on a common measure is scarce. This paper develops a sustainability indicator that integrates traffic-related externalities as means of traffic congestion, noise, greenhouse gases (GHG) and nitrogen oxides emissions, health impacts and road crash related costs, and adjusted to local contexts of vulnerability. Traffic, road crashes, acoustic and vehicle dynamic data were collected from one real-world intercity corridor pair comprising three alternative routes. The site-specific operations were characterized using a modeling platform of traffic, emissions, noise and air quality. A specific methodology is applied for each road traffic externality and translated in a single factor - external cost. The results indicated that road crashes presented the largest share in the partly rural/urban route while GHG emissions had the highest contribution in external costs for the highway routes. Also, the distribution of external cost component varied according to the type of road, mostly due to different levels of exposed inhabitants. This paper offers a line of research that produced a method for decision-makers with a reliable and flexible cost analysis aimed at reducing the negative impacts of road traffic. It also encourages the design of eco-traffic management policies considering the perspective of drivers, commuters and population.Elsevier2020-11-15T00:00:00Z2019-11-15T00:00:00Z2019-11-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/26349eng0048-969710.1016/j.scitotenv.2019.07.124Fernandes, P.Vilaça, M.Macedo, E.Sampaio, C.Bahmankhah, B.Bandeira, J. M.Guarnaccia, C.Rafael, S.Fernandes, A. P.Relvas, H.Borrego, C.Coelho, M.info: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:RCAAP2024-02-22T11:51:03Zoai:ria.ua.pt:10773/26349Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:59:22.504917Repositório 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 Integrating road traffic externalities through a sustainability indicator
title Integrating road traffic externalities through a sustainability indicator
spellingShingle Integrating road traffic externalities through a sustainability indicator
Fernandes, P.
Sustainability indicator
External costs
Road traffic
Modeling
title_short Integrating road traffic externalities through a sustainability indicator
title_full Integrating road traffic externalities through a sustainability indicator
title_fullStr Integrating road traffic externalities through a sustainability indicator
title_full_unstemmed Integrating road traffic externalities through a sustainability indicator
title_sort Integrating road traffic externalities through a sustainability indicator
author Fernandes, P.
author_facet Fernandes, P.
Vilaça, M.
Macedo, E.
Sampaio, C.
Bahmankhah, B.
Bandeira, J. M.
Guarnaccia, C.
Rafael, S.
Fernandes, A. P.
Relvas, H.
Borrego, C.
Coelho, M.
author_role author
author2 Vilaça, M.
Macedo, E.
Sampaio, C.
Bahmankhah, B.
Bandeira, J. M.
Guarnaccia, C.
Rafael, S.
Fernandes, A. P.
Relvas, H.
Borrego, C.
Coelho, M.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fernandes, P.
Vilaça, M.
Macedo, E.
Sampaio, C.
Bahmankhah, B.
Bandeira, J. M.
Guarnaccia, C.
Rafael, S.
Fernandes, A. P.
Relvas, H.
Borrego, C.
Coelho, M.
dc.subject.por.fl_str_mv Sustainability indicator
External costs
Road traffic
Modeling
topic Sustainability indicator
External costs
Road traffic
Modeling
description Road traffic poses negative externalities on society and represents a key challenge in sustainable transportation. However, the existing literature about the assessment of traffic externalities drawn on a common measure is scarce. This paper develops a sustainability indicator that integrates traffic-related externalities as means of traffic congestion, noise, greenhouse gases (GHG) and nitrogen oxides emissions, health impacts and road crash related costs, and adjusted to local contexts of vulnerability. Traffic, road crashes, acoustic and vehicle dynamic data were collected from one real-world intercity corridor pair comprising three alternative routes. The site-specific operations were characterized using a modeling platform of traffic, emissions, noise and air quality. A specific methodology is applied for each road traffic externality and translated in a single factor - external cost. The results indicated that road crashes presented the largest share in the partly rural/urban route while GHG emissions had the highest contribution in external costs for the highway routes. Also, the distribution of external cost component varied according to the type of road, mostly due to different levels of exposed inhabitants. This paper offers a line of research that produced a method for decision-makers with a reliable and flexible cost analysis aimed at reducing the negative impacts of road traffic. It also encourages the design of eco-traffic management policies considering the perspective of drivers, commuters and population.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-15T00:00:00Z
2019-11-15
2020-11-15T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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url http://hdl.handle.net/10773/26349
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0048-9697
10.1016/j.scitotenv.2019.07.124
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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