A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments
In light of the recently emphasized studies on risk evaluation of crashes, accident counts under specific transportation facilities are adopted to reflect the chance of crash occurrence. The current study introduces more comprehensive measure with the supplement information of accidental harmfulness...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2014/489052 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832553531362508800 |
---|---|
author | Lu Ma Xuedong Yan Wenxin Qiao |
author_facet | Lu Ma Xuedong Yan Wenxin Qiao |
author_sort | Lu Ma |
collection | DOAJ |
description | In light of the recently emphasized studies on risk evaluation of crashes, accident counts under specific transportation facilities are adopted to reflect the chance of crash occurrence. The current study introduces more comprehensive measure with the supplement information of accidental harmfulness into the expression of accident risks which are also named Accident Hazard Index (AHI) in the following context. Before the statistical analysis, datasets from various sources are integrated under a GIS platform and the corresponding procedures are presented as an illustrated example for similar analysis. Then, a quasi-Poisson regression model is suggested for analyses and the results show that the model is appropriate for dealing with overdispersed count data and several key explanatory variables were found to have significant impact on the estimation of AHI. In addition, the effect of weight on different severity levels of accidents is examined and the selection of the weight is also discussed. |
format | Article |
id | doaj-art-35a77fa864e843449411a96401715dfb |
institution | Kabale University |
issn | 1026-0226 1607-887X |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-35a77fa864e843449411a96401715dfb2025-02-03T05:53:43ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/489052489052A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road SegmentsLu Ma0Xuedong Yan1Wenxin Qiao2MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaIn light of the recently emphasized studies on risk evaluation of crashes, accident counts under specific transportation facilities are adopted to reflect the chance of crash occurrence. The current study introduces more comprehensive measure with the supplement information of accidental harmfulness into the expression of accident risks which are also named Accident Hazard Index (AHI) in the following context. Before the statistical analysis, datasets from various sources are integrated under a GIS platform and the corresponding procedures are presented as an illustrated example for similar analysis. Then, a quasi-Poisson regression model is suggested for analyses and the results show that the model is appropriate for dealing with overdispersed count data and several key explanatory variables were found to have significant impact on the estimation of AHI. In addition, the effect of weight on different severity levels of accidents is examined and the selection of the weight is also discussed.http://dx.doi.org/10.1155/2014/489052 |
spellingShingle | Lu Ma Xuedong Yan Wenxin Qiao A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments Discrete Dynamics in Nature and Society |
title | A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments |
title_full | A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments |
title_fullStr | A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments |
title_full_unstemmed | A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments |
title_short | A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments |
title_sort | quasi poisson approach on modeling accident hazard index for urban road segments |
url | http://dx.doi.org/10.1155/2014/489052 |
work_keys_str_mv | AT luma aquasipoissonapproachonmodelingaccidenthazardindexforurbanroadsegments AT xuedongyan aquasipoissonapproachonmodelingaccidenthazardindexforurbanroadsegments AT wenxinqiao aquasipoissonapproachonmodelingaccidenthazardindexforurbanroadsegments AT luma quasipoissonapproachonmodelingaccidenthazardindexforurbanroadsegments AT xuedongyan quasipoissonapproachonmodelingaccidenthazardindexforurbanroadsegments AT wenxinqiao quasipoissonapproachonmodelingaccidenthazardindexforurbanroadsegments |