Modeling dependence of accident-related outcomes using pair copula constructions for discrete data

This paper investigates the relationship between accident-related outcomes and per capita income, and explores the interdependency between them by using vine pair copula constructions. Equations for number of accidents, number of fatalities, and number of people injured are estimated using a provinc...

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Main Authors: Jirakom Sirisrisakulchai, Songsak Sriboonchitta
格式: Book Series
出版: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/45310
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spelling th-cmuir.6653943832-453102018-01-24T06:08:18Z Modeling dependence of accident-related outcomes using pair copula constructions for discrete data Jirakom Sirisrisakulchai Songsak Sriboonchitta This paper investigates the relationship between accident-related outcomes and per capita income, and explores the interdependency between them by using vine pair copula constructions. Equations for number of accidents, number of fatalities, and number of people injured are estimated using a provincial level data of Thailand in 2011. We discovered that there exists an inverted U-shaped relationship between accident-related outcomes and per capita income. Moreover, it was found that the accident-injury pair had stronger concordance and tail dependence, whereas the accident-fatality and fatality-injury pairs had weaker concordance and tail dependence. Our findings provide useful insight and information to policymakers who can then use the same to select appropriate road safety measures. © Springer International Publishing Switzerland 2014. 2018-01-24T06:08:18Z 2018-01-24T06:08:18Z 2014-01-01 Book Series 21945357 2-s2.0-84897867336 10.1007/978-3-319-03395-2_14 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897867336&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45310
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description This paper investigates the relationship between accident-related outcomes and per capita income, and explores the interdependency between them by using vine pair copula constructions. Equations for number of accidents, number of fatalities, and number of people injured are estimated using a provincial level data of Thailand in 2011. We discovered that there exists an inverted U-shaped relationship between accident-related outcomes and per capita income. Moreover, it was found that the accident-injury pair had stronger concordance and tail dependence, whereas the accident-fatality and fatality-injury pairs had weaker concordance and tail dependence. Our findings provide useful insight and information to policymakers who can then use the same to select appropriate road safety measures. © Springer International Publishing Switzerland 2014.
format Book Series
author Jirakom Sirisrisakulchai
Songsak Sriboonchitta
spellingShingle Jirakom Sirisrisakulchai
Songsak Sriboonchitta
Modeling dependence of accident-related outcomes using pair copula constructions for discrete data
author_facet Jirakom Sirisrisakulchai
Songsak Sriboonchitta
author_sort Jirakom Sirisrisakulchai
title Modeling dependence of accident-related outcomes using pair copula constructions for discrete data
title_short Modeling dependence of accident-related outcomes using pair copula constructions for discrete data
title_full Modeling dependence of accident-related outcomes using pair copula constructions for discrete data
title_fullStr Modeling dependence of accident-related outcomes using pair copula constructions for discrete data
title_full_unstemmed Modeling dependence of accident-related outcomes using pair copula constructions for discrete data
title_sort modeling dependence of accident-related outcomes using pair copula constructions for discrete data
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897867336&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/45310
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