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Zero-inflated regression models for measuring accident

Worldwide, hundreds of thousands of deaths and thousands more are injured every year in traffic accidents around the world. This is owing to an increase in road traffic throughout time, as well as a wide range of traffic compositions. Nowadays, road accidents have become a major concern, and analy...

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Main Authors: Hartatik, Nurani, Prasetijo, Joewono, Prasetyo, Yudi Dwi, Nistrina, Khilda, Muslihati, Atqiya
Format: Conference or Workshop Item
Language:English
Published: 2024
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/11189/1/P16673_f522b39b4802ac55a9aadb8b64f06519%207.pdf
http://eprints.uthm.edu.my/11189/
https://doi.org/10.1063/5.0180308
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spelling my.uthm.eprints.111892024-06-19T03:57:05Z http://eprints.uthm.edu.my/11189/ Zero-inflated regression models for measuring accident Hartatik, Nurani Prasetijo, Joewono Prasetyo, Yudi Dwi Nistrina, Khilda Muslihati, Atqiya T Technology (General) Worldwide, hundreds of thousands of deaths and thousands more are injured every year in traffic accidents around the world. This is owing to an increase in road traffic throughout time, as well as a wide range of traffic compositions. Nowadays, road accidents have become a major concern, and analyzing accidents data has become an important concern for analysts. Therefore, analysis of accidents data requires a lot of attention because accident data is very complex. The road accidents process results in various frequency calculations, for example, deaths and injured number, and/or involved cars in the accidents. However, the probability distribution governing the occurrence of this count may be different. In addition to the problem of excess zeros, lack of data is a common occurrence in results of traffic accidents. Thus, this study discusses the use of the zero-inflated model in analyzing traffic accidents and the variables used by the researchers by reviewing the literature related to the use of zero-inflated models in accident cases. To find a better zero-inflated model that can be used to calculate accident data and to identify the variables that are commonly used to calculate traffic accidents. The result showed that the models that are more widely used by researchers to calculate traffic accidents are commonly known as (ZINB) the zero-inflated negative binomial model and (ZIP) the zero-inflated Poisson model. Both model types have been used since they are approaches for resolving the problem of overdispersion 2024-02-23 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/11189/1/P16673_f522b39b4802ac55a9aadb8b64f06519%207.pdf Hartatik, Nurani and Prasetijo, Joewono and Prasetyo, Yudi Dwi and Nistrina, Khilda and Muslihati, Atqiya (2024) Zero-inflated regression models for measuring accident. In: AIP Conference Proceedings. https://doi.org/10.1063/5.0180308
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Hartatik, Nurani
Prasetijo, Joewono
Prasetyo, Yudi Dwi
Nistrina, Khilda
Muslihati, Atqiya
Zero-inflated regression models for measuring accident
description Worldwide, hundreds of thousands of deaths and thousands more are injured every year in traffic accidents around the world. This is owing to an increase in road traffic throughout time, as well as a wide range of traffic compositions. Nowadays, road accidents have become a major concern, and analyzing accidents data has become an important concern for analysts. Therefore, analysis of accidents data requires a lot of attention because accident data is very complex. The road accidents process results in various frequency calculations, for example, deaths and injured number, and/or involved cars in the accidents. However, the probability distribution governing the occurrence of this count may be different. In addition to the problem of excess zeros, lack of data is a common occurrence in results of traffic accidents. Thus, this study discusses the use of the zero-inflated model in analyzing traffic accidents and the variables used by the researchers by reviewing the literature related to the use of zero-inflated models in accident cases. To find a better zero-inflated model that can be used to calculate accident data and to identify the variables that are commonly used to calculate traffic accidents. The result showed that the models that are more widely used by researchers to calculate traffic accidents are commonly known as (ZINB) the zero-inflated negative binomial model and (ZIP) the zero-inflated Poisson model. Both model types have been used since they are approaches for resolving the problem of overdispersion
format Conference or Workshop Item
author Hartatik, Nurani
Prasetijo, Joewono
Prasetyo, Yudi Dwi
Nistrina, Khilda
Muslihati, Atqiya
author_facet Hartatik, Nurani
Prasetijo, Joewono
Prasetyo, Yudi Dwi
Nistrina, Khilda
Muslihati, Atqiya
author_sort Hartatik, Nurani
title Zero-inflated regression models for measuring accident
title_short Zero-inflated regression models for measuring accident
title_full Zero-inflated regression models for measuring accident
title_fullStr Zero-inflated regression models for measuring accident
title_full_unstemmed Zero-inflated regression models for measuring accident
title_sort zero-inflated regression models for measuring accident
publishDate 2024
url http://eprints.uthm.edu.my/11189/1/P16673_f522b39b4802ac55a9aadb8b64f06519%207.pdf
http://eprints.uthm.edu.my/11189/
https://doi.org/10.1063/5.0180308
_version_ 1803337354529734656
score 13.211869

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