Spatio-Temporal Analysis of Peak Traffic Accidents in the City of Huizhou
Received date: 2012-01-11
Request revised date: 2012-02-18
Online published: 2012-06-20
Copyright
The rapid growth of automobile industries has increased traffic flows and traffic related accidents in urban areas during the recent years. Traffic jams and traffic accidents have major impacts on people’s daily life. There has been a growing body of literature investigating the characteristics and reasons of traffic accidents. A number of studies have focused on the temporal patterns of accidents and revealed that more accidents occur in day-time than night-time, afternoon than morning. However, there is no general agreement on whether peak traffic accidents always happen during the rush hours. This study aims to analyze the spatio-temporal patterns of traffic accidents in Huicheng District in Huizhou City, China. Specifically this study examines the temporal patterns of peak traffic accidents and their relationship with nearby land use. The study reveals that peak traffic accidents do not coincide with rush hours. Motor-vehicles accidents, which account for most traffic accidents, concentrate near commercial facilities, especially in the late evenings. Motor-vehicles accidents on secondary roads peak in the late evenings, while those on main roads peak right after the rush hours in the morning and the afternoon. One possible explanation of such patterns is that traffic policing is more strictly enforced and drivers are more vigilant during the rush hours.
Key words: traffic accidents; spatial-temporal analysis; GIS; Huizhou
ZHOU Su-hong , ZHENG Zhong , LIU Lin . Spatio-Temporal Analysis of Peak Traffic Accidents in the City of Huizhou[J]. SCIENTIA GEOGRAPHICA SINICA, 2012 , 32(6) : 649 -657 . DOI: 10.13249/j.cnki.sgs.2012.06.649
Fig.1 Density distribution of motor-vehicle accidents图1 机动车事故密度分布 |
Fig.2 Location of facilities |
Fig.3 Traffic accidents one-day-sample of the inner City of Huizhou in 2010图3 2010年惠州市中心城区交通事故样本量时间变化 |
Fig.4 Traffic accidents one-day-sample by traffic modes图4 不同交通方式事故样本量时间变化 |
Fig.5 Kernel density index of traffic accidents in one day by facilities图5 不同设施事故平均密度时间变化 |
Fig.6 Traffic accidents one-day-sample by road levels图6 不同等级道路事故样本量时间变化 |
Fig.7 Spatial-temporal pattern of traffic accidents in the inner City of Huizhou图7 惠州市中心城区交通事故时空分布示意 |
Table 1 Differences of peak traffic accidents表1 交通消散期事故高峰差异 |
判别标准 | 上午交通消散期 | 下午交通消散期 | 晚间交通消散期 | ||
---|---|---|---|---|---|
9:30~11:30 | 14:30~16:30 | 18:30~20:30 | 20:30~23:30 | ||
事故总量 | √ | √ | × | × | |
道路等级 | 主干道事故 | √ | √ | × | × |
次干道事故 | √ | √ | × | × | |
支路事故 | × | √ | × | √ | |
设施类型 | 主干道交叉口 | × | √ | × | × |
商业设施 | √ | √ | × | √ | |
工作地 | × | √ | × | × |
注:√表示存在交通消散期事故高峰,×表示不存在交通消散期事故高峰。 |
The authors have declared that no competing interests exist.
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