Pedestrian safety remains a significant concern, with the growing number of severe pedestrian crashes resulting in substantial human and economic costs. Previous research into pedestrian crashes has extensively analyzed the influences of weather, lighting, and pedestrian demographics. However, these studies often overlook the critical spatial variables that contribute to pedestrian crashes. Our study aims to explore these overlooked spatial variables by examining the distance pedestrians travel before encountering a severe crash. This approach provides a supplementary perspective in safety analysis, emphasizing the importance of pedestrian movement patterns. The model considers various factors that may influence pedestrian traveled distance before being involved in a severe crash, such as weather conditions, lighting conditions, and pedestrian demographics. Ohio’s pedestrian-involved crashes were gathered and analyzed as a case study. The results indicated that 50 % of fatal pedestrian crashes occurred within 0.84 miles of the pedestrians’ residences. Moreover, it was shown that factors including lighting condition, pedestrian age, drug toxication, and the location at impact significantly influence the pedestrians traveled distance. These findings provide valuable insights into the spatial distribution of pedestrian crashes and shed light on the factors contributing to their severity. By understanding these relationships, policymakers and urban planners can design targeted interventions such as improving street lighting, implementing traffic calming measures, and developing safety awareness campaigns for specific age groups, to enhance pedestrian safety and reduce the incidence of severe crashes.

中文翻译：

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使用基于危险的持续时间模型确定行人严重碰撞的影响因素和位置

行人安全仍然是一个重大问题，严重的行人碰撞事故数量不断增加，造成了巨大的人力和经济损失。之前对行人碰撞事故的研究广泛分析了天气、照明和行人人口统计数据的影响。然而，这些研究往往忽视了导致行人碰撞的关键空间变量。我们的研究旨在通过检查行人在遭遇严重碰撞之前行驶的距离来探索这些被忽视的空间变量。这种方法为安全分析提供了补充视角，强调了行人运动模式的重要性。该模型考虑了可能影响行人在发生严重事故之前行驶距离的各种因素，例如天气条件、照明条件和行人人口统计数据。作为案例研究，收集并分析了俄亥俄州的行人交通事故。结果表明，50% 的致命行人碰撞事故发生在距行人住所 0.84 英里范围内。此外，研究表明，照明条件、行人年龄、药物中毒和撞击位置等因素显着影响行人的行走距离。这些发现为行人碰撞事故的空间分布提供了宝贵的见解，并揭示了导致其严重程度的因素。通过了解这些关系，政策制定者和城市规划者可以设计有针对性的干预措施，例如改善街道照明、实施交通稳定措施以及针对特定年龄组开展安全意识活动，以提高行人安全并减少严重事故的发生率。