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Reliability-Based Estimation of Traffic Interruption Probability due to Road Waterlogging
Indexado
WoS WOS:000441561600001
Scopus SCOPUS_ID:85051563673
DOI 10.1155/2018/2850546
Año 2018
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Floods affect road infrastructure physically and operationally, increase road user costs and road agencies cost, and eventually isolate communities. The research of the effect of floods on vehicular circulation is mainly focused on the stability of vehicles. There are few studies related to the regime of still water in the trafficability. In still water, the speed flow is low and does not compromise the vehicle stability. In this case, the vehicle's wading height becomes relevant. This article proposes a procedure to estimate the traffic interruption probability caused by floods in roads, considering the still water regime. The procedure uses the first-order reliability method to estimate traffic interruption probabilities, based on the difference between the probability density functions (PDF) of still water depth (or waterlogging depth) and vehicle wading height. A specific procedure to estimate the PDF of wading height based in the geometric characteristics of light and heavy vehicles was developed. The PDF for water depth was estimated using water level profile simulation software. The procedure was applied in the south of Chile. The PDF of wading height was obtained from a record of 166,155 vehicles tagged in open road tolls. The PDF of waterlogging depth was obtained from discharge records of 10 fluviometric stations. 42 probability curves were obtained for six vehicle classes and return periods between 4 and 500 years. The still water depth obtained for traffic interruption probability of 1,0 varied between 70 and 90 cm for light vehicles and between 110 and 150 cm for heavy vehicles.

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Disciplinas de Investigación



WOS
Engineering, Civil
Transportation Science & Technology
Scopus
Computer Science Applications
Economics And Econometrics
Strategy And Management
Mechanical Engineering
Automotive Engineering
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Contreras-Jara, Manuel Hombre Universidad de Concepción - Chile
2 Echaveguren, T. Hombre Universidad de Concepción - Chile
Centro Nacional de Investigacion para la Gestion Integrada de Desastres Naturales - Chile
Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN) - Chile
3 Vargas Baecheler, Jose Hombre Universidad de Concepción - Chile
Latin American Center of Economic and Social Policies (CLAPES UC) - Chile
4 Chamorro Gine, Alondra Mujer Centro Nacional de Investigacion para la Gestion Integrada de Desastres Naturales - Chile
Pontificia Universidad Católica de Chile - Chile
National Research Center for Integrated Natural Disaster Management - Chile
Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN) - Chile
5 DE SOLMINIHAC-TAMPIER, HERNAN Hombre Pontificia Universidad Católica de Chile - Chile
Latin Amer Ctr Econ & Social Policies CLAPES UC - Chile

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Financiamiento



Fuente
CIGIDEN
National Research Center for Integrated Natural Disaster Management
National Research Center for Integrated Natural Disaster Management (CIGIDEN)
National Commission for Science and Technology
National Commission for Science and Technology (CONICYT) of Chile

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Agradecimientos



Agradecimiento
The authors wish to thank the National Commission for Science and Technology (CONICYT) of Chile for supporting the research projects FONDEF ID14I20309 and thank the National Research Center for Integrated Natural Disaster Management (CIGIDEN), CONICYT/FONDAP/15110017, within which this paper was prepared. The authors also wish to thank the Ministry of PublicWorks of Chile for providing the data used for the research presented in this paper.
The authors wish to thank the National Commission for Science and Technology (CONICYT) of Chile for supporting the research projects FONDEF ID14I20309 and thank the National Research Center for Integrated Natural Disaster Management (CIGIDEN), CONICYT/FONDAP/15110017, within which this paper was prepared. The authors also wish to thank the Ministry of Public Works of Chile for providing the data used for the research presented in this paper.

Muestra la fuente de financiamiento declarada en la publicación.