Understanding traffic collision patterns is of high importance for effective road safety planning in fast-growing urban environments. This study examines the temporal and spatial patterns of traffic collisions in Dubai, UAE, with a particular focus on collision severity. To this end, traffic collision records from November 2024 to June 2025 were analyzed to examine hourly, daily, and monthly variations in collision frequency and severity for both overall traffic collisions and pedestrian-related accidents. Temporal associations with severity were evaluated using chi-square tests and Cramer's V, while spatial patterns were analyzed using severity-weighted hotspot analysis based on the Getis-Ord Gi* statistic, complemented by inverse distance weighting (IDW) interpolation. The results show a clear temporal variation in overall collision frequency and severity, with higher collision frequencies during evening and nighttime periods with 44% higher probability of high-severity outcomes at night compared to the afternoon. On the other hand, pedestrian-related accidents showed a distinct temporal profile, characterized by higher occurrence during late-evening hours and relatively limited variation across days of the week and months. Spatial analysis identified statistically significant severity hotspots for overall collisions in the northern and northwestern parts of Dubai and along the Al Ain-Dubai Highway, while pedestrian severity hotspots were concentrated near industrial areas in the southwestern region. Several policy measures are proposed based on the findings including, reducing nighttime speed limits, enhancing automated enforcement, improving roadway lighting, and implementing pedestrian-focused treatments in statistically significant hotspots.

翻译：理解交通事故模式对于快速发展的城市环境中有效的道路安全规划至关重要。本研究考察了阿联酋迪拜交通事故的时间和空间模式，特别关注事故严重性。为此，分析了2024年11月至2025年6月的交通事故记录，以考察总体交通事故和行人相关事故在碰撞频率和严重性上的小时、日和月度变化。使用卡方检验和克莱姆V值评估了时间因素与严重性的关联，同时基于Getis-Ord Gi*统计量，辅以反距离加权（IDW）插值法，通过严重性加权热点分析研究了空间模式。结果显示，总体碰撞频率和严重性存在明显的时间变化，碰撞频率在傍晚和夜间时段较高，且夜间发生高严重性结果的概率比下午高出44%。另一方面，行人相关事故呈现出独特的时间分布特征，主要表现为深夜时段发生率较高，且在一周内各天和不同月份间的变化相对有限。空间分析识别出总体碰撞在迪拜北部和西北部地区以及艾因-迪拜高速公路沿线存在统计上显著的严重性热点，而行人的严重性热点则集中在西南部工业区附近。基于研究结果提出了若干政策措施，包括降低夜间限速、加强自动化执法、改善道路照明以及在统计显著的热点区域实施以行人为重点的治理措施。