Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones
Traffic safety evaluation for traffic analysis zones (TAZs) plays an important role in transportation safety planning and long-range transportation plan development. This paper aims to present a comprehensive analysis of zonal safety evaluation. First, several criteria are proposed to measure the cr...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/987978 |
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doaj-0d4a0ade3b1e4988b2e38b7ea49bbe2b2020-11-25T00:23:31ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/987978987978Crash Prediction and Risk Evaluation Based on Traffic Analysis ZonesCuiping Zhang0Xuedong Yan1Lu Ma2Meiwu An3MOE 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, ChinaTransportation Modeler, Saint Louis County Departments of Highways & Traffic and Public Works, 1050 N. Lindbergh, Creve Coeur, MO 63132, USATraffic safety evaluation for traffic analysis zones (TAZs) plays an important role in transportation safety planning and long-range transportation plan development. This paper aims to present a comprehensive analysis of zonal safety evaluation. First, several criteria are proposed to measure the crash risk at zonal level. Then these criteria are integrated into one measure-average hazard index (AHI), which is used to identify unsafe zones. In addition, the study develops a negative binomial regression model to statistically estimate significant factors for the unsafe zones. The model results indicate that the zonal crash frequency can be associated with several social-economic, demographic, and transportation system factors. The impact of these significant factors on zonal crash is also discussed. The finding of this study suggests that safety evaluation and estimation might benefit engineers and decision makers in identifying high crash locations for potential safety improvements.http://dx.doi.org/10.1155/2014/987978 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cuiping Zhang Xuedong Yan Lu Ma Meiwu An |
spellingShingle |
Cuiping Zhang Xuedong Yan Lu Ma Meiwu An Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones Mathematical Problems in Engineering |
author_facet |
Cuiping Zhang Xuedong Yan Lu Ma Meiwu An |
author_sort |
Cuiping Zhang |
title |
Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones |
title_short |
Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones |
title_full |
Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones |
title_fullStr |
Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones |
title_full_unstemmed |
Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones |
title_sort |
crash prediction and risk evaluation based on traffic analysis zones |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2014-01-01 |
description |
Traffic safety evaluation for traffic analysis zones (TAZs) plays an important role in transportation safety planning and long-range transportation plan development. This paper aims to present a comprehensive analysis of zonal safety evaluation. First, several criteria are proposed to measure the crash risk at zonal level. Then these criteria are integrated into one measure-average hazard index (AHI), which is used to identify unsafe zones. In addition, the study develops a negative binomial regression model to statistically estimate significant factors for the unsafe zones. The model results indicate that the zonal crash frequency can be associated with several social-economic, demographic, and transportation system factors. The impact of these significant factors on zonal crash is also discussed. The finding of this study suggests that safety evaluation and estimation might benefit engineers and decision makers in identifying high crash locations for potential safety improvements. |
url |
http://dx.doi.org/10.1155/2014/987978 |
work_keys_str_mv |
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