高校校园交通安全风险评估及治理研究——以山东科技大学为例

Research on Traffic Safety Risk Assessment and Management in University Campuses—A Case Study of Shandong University of Science and Technology

摘要: 为推动校园交通安全治理向数据驱动、精准施策转型，以校园多功能叠加区为研究对象，综合采用安全检查表法和问卷调查法，识别出人车混行、停车资源失衡等六类核心风险，并从物理、管理、行为、文化四方面剖析风险生成机制。建立AHP-熵权法组合评价模型，评价C区餐厅前十字路口区域交通安全风险，并揭示“空间–时间–行为–管理”多维事故致因，进而提出“空间重构、时间错峰、行为引导、动态管控”四位一体的精细化治理方案。研究形成的“识别–评价–致因–治理”框架与组合模型，可为高校类似区域的风险管控提供理论与实践参考。

Abstract: To advance campus traffic safety governance toward data-driven, precision-targeted measures, this study examines multifunctional overlapping zones on campuses. By integrating safety checklist methods and questionnaire surveys, six core risks were identified—including mixed pedestrian-vehicle traffic and parking resource imbalance—and their generation mechanisms analyzed across physical, managerial, behavioral, and cultural dimensions. An AHP-Entropy Weighting combined evaluation model was established to assess traffic safety risks at the crossroads near Zone C’s cafeteria. This revealed multidimensional accident causes spanning “space - time - behavior - management,” leading to a four-pronged precision governance solution: spatial restructuring, time-shifting, behavioral guidance, and dynamic control. The resulting “identification - evaluation - causation - governance” framework and composite model provide theoretical and practical references for risk management in similar university zones.