Literature DB >> 16780781

Multiple-vehicle traffic accidents in Hong Kong.

Kelvin K W Yau1, H P Lo, Sherrice H H Fung.   

Abstract

'Multiple-vehicle traffic accident' refers to a crash between two or more moving objects. Unlike single-vehicle accidents, not all drivers involving in a multiple-vehicle accident are responsible for the occurrence of the event. Accordingly, variables such as road type, speed limit and number of vehicles involved in the accident are expected to play a much more important role in association with injury severity in multiple-vehicle accidents. To study the factors influencing injury severity of multiple-vehicle traffic accidents, a population-based study was conducted. The traffic accident data was obtained from the Traffic Accident Data System (TRADS), which was developed by the Transport Department, Police Force and Information Technology Services Department, Hong Kong. Multiple-vehicle traffic accidents (N = 10,630) occurring during the 2-year period 1999/2000 were considered. Potential risk factors such as district, human, vehicle, safety, environmental and site factors were examined. Categorizing injury severity into "fatal/serious" and "slight", a stepwise logistic regression model was applied to the population data set. The district board, time of the accident, driver's gender, vehicle type, road type, speed limit and the number of vehicles involved are significant factors influencing the injury severity. Identification of risk factors for severe traffic accidents provides valuable information to help with new and improved road safety control measures.

Entities:  

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Year:  2006        PMID: 16780781     DOI: 10.1016/j.aap.2006.05.002

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  5 in total

1.  Investigation on occupant injury severity in rear-end crashes involving trucks as the front vehicle in Beijing area, China.

Authors:  Quan Yuan; Meng Lu; Athanasios Theofilatos; Yi-Bing Li
Journal:  Chin J Traumatol       Date:  2016-11-09

2.  Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel.

Authors:  Shengdi Chen; Shiwen Zhang; Yingying Xing; Jian Lu
Journal:  Int J Environ Res Public Health       Date:  2020-05-01       Impact factor: 3.390

3.  Driving Anger, Aberrant Driving Behaviors, and Road Crash Risk: Testing of a Mediated Model.

Authors:  Tingru Zhang; Alan H S Chan; Hongjun Xue; Xiaoyan Zhang; Da Tao
Journal:  Int J Environ Res Public Health       Date:  2019-01-22       Impact factor: 3.390

4.  Analysis on Risk Characteristics of Traffic Accidents in Small-Spacing Expressway Interchange.

Authors:  Yanpeng Wang; Jin Xu; Xingliang Liu; Zhanji Zheng; Heshan Zhang; Chengyu Wang
Journal:  Int J Environ Res Public Health       Date:  2022-08-12       Impact factor: 4.614

5.  Geographical Detection of Traffic Accidents Spatial Stratified Heterogeneity and Influence Factors.

Authors:  Yuhuan Zhang; Huapu Lu; Wencong Qu
Journal:  Int J Environ Res Public Health       Date:  2020-01-16       Impact factor: 3.390

  5 in total

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