Spatiotemporal characteristics of traffic accidents on a high-volume expressway with closely spaced interchanges

OBJECTIVES: The rapid saturation of expressway capacity in economically developed city clusters has intensified traffic conflicts and accident risks, yet accidents on high-volume expressways with closely spaced interchanges remain understudied. This study aims to clarify the spatiotemporal distribution patterns of such accidents and to identify the locations and characteristics of accident-prone segments. METHODS: A total of 30,265 valid records from the Changhu Expressway in Dongguan, China, covering January 2019 to December 2023, were analyzed; these comprised 19,315 traffic accidents and 10,950 traffic incidents. Descriptive statistics were used to examine accident types and involved vehicle types by year and 15-min interval. Pearson correlation analysis assessed contemporaneous associations between accident counts and high-flow-event frequency, and a spatiotemporal overlap-rate indicator was used to identify accident-prone segments. RESULTS: Rear-end collisions were the predominant accident type (85.3%), with trucks disproportionately involved during 02:00-04:00. Accidents showed four daily peaks, whereas high-flow events showed two. High-flow-event peaks preceded the morning accident peak, whereas accident peaks preceded high-flow-event peaks in the afternoon. The ends of acceleration lanes, areas preceding divergence points, downhill sections, and continuous-gradient segments contained notable accident concentrations. Using the spatiotemporal overlap rate, 14 accident-prone segments were identified. CONCLUSIONS: On the studied high-volume expressway, traffic accidents showed pronounced spatiotemporal clustering. Accident counts were positively associated with high-flow-event frequency in most analyzed direction-period combinations, while interchange weaving areas and variable-gradient sections contained notable accident concentrations. The findings may inform time- and location-specific crash-prevention measures on similar facilities, but their transferability should be evaluated using exposure and severity data from additional corridors.

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Publication Details

Journal
Traffic Injury Prevention
Published
2026-10-14
DOI
https://doi.org/10.1080/15389588.2026.2734307
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatiotemporal characteristics of traffic accidents on a high-volume expressway with closely spaced interchanges

Gaofeng Zhang, Yuhao Zhang, Jin Xu, Yong Jin et al.
Traffic Injury Prevention
Traffic and Road Safety
article

Spatiotemporal characteristics of traffic accidents on a high-volume expressway with closely spaced interchanges

Gaofeng Zhang, Yuhao Zhang, Jin Xu, Yong Jin, Gui Guo
article en

Abstract

OBJECTIVES: The rapid saturation of expressway capacity in economically developed city clusters has intensified traffic conflicts and accident risks, yet accidents on high-volume expressways with closely spaced interchanges remain understudied. This study aims to clarify the spatiotemporal distribution patterns of such accidents and to identify the locations and characteristics of accident-prone segments. METHODS: A total of 30,265 valid records from the Changhu Expressway in Dongguan, China, covering January 2019 to December 2023, were analyzed; these comprised 19,315 traffic accidents and 10,950 traffic incidents. Descriptive statistics were used to examine accident types and involved vehicle types by year and 15-min interval. Pearson correlation analysis assessed contemporaneous associations between accident counts and high-flow-event frequency, and a spatiotemporal overlap-rate indicator was used to identify accident-prone segments. RESULTS: Rear-end collisions were the predominant accident type (85.3%), with trucks disproportionately involved during 02:00-04:00. Accidents showed four daily peaks, whereas high-flow events showed two. High-flow-event peaks preceded the morning accident peak, whereas accident peaks preceded high-flow-event peaks in the afternoon. The ends of acceleration lanes, areas preceding divergence points, downhill sections, and continuous-gradient segments contained notable accident concentrations. Using the spatiotemporal overlap rate, 14 accident-prone segments were identified. CONCLUSIONS: On the studied high-volume expressway, traffic accidents showed pronounced spatiotemporal clustering. Accident counts were positively associated with high-flow-event frequency in most analyzed direction-period combinations, while interchange weaving areas and variable-gradient sections contained notable accident concentrations. The findings may inform time- and location-specific crash-prevention measures on similar facilities, but their transferability should be evaluated using exposure and severity data from additional corridors.

Traffic Injury Prevention
Guilin University of Electronic Technology (CN), Chongqing Jiaotong University (CN)
National Natural Science Foundation of China
Sustainable cities and communities, Good health and well-being
Openalex Percentile: Top 13%
Traffic and Road Safety
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