Traffic Safety Priority Index

City Planning Staff built a GIS model to help prioritize locations in the city for safety improvements based on severity of crashes and need of the surrounding community. Essentially, the model aggregated crash data points into street segments, weights the crashes by severity, and factors other context, like proximity to schools, senior housing, buses, into a final score. Both the final index score and the various aggregate crash numbers are useful for understanding safety conditions on Cleveland's streets and identifying the worst problem intersections. Methodology Break up Cleveland's street network in comparable segments including intersections. Aggregate crash data within those segments (sum crashes by severity type) Score the crash history for the segment (Crash_Score_Total) Identify context points of interest in vicinity (schools, senior centers, bus stops so far) of the street. Score the context for how many things are nearby that require extra proactive attention. Identify the social health and vulnerability of the street segment using CDC's Social Vulnerability Index and how it ranks within Cleveland Combine the crash score and context score. Boost scores based on social vulnerability, e.g. elevate streets in neighborhoods experiencing more poverty, racial discrimination, housing and transportation challenges. Data Glossary See Attributes below for information about fields. Update Frequency Never Contacts Cleveland City Planning Commission克利夫兰市规划人员构建了地理信息系统（GIS, Geographic Information System）模型，用于基于交通事故严重程度与周边社区需求，对全市交通安全改善点位开展优先级排序。 该模型核心运行逻辑为：将交通事故数据点聚合至道路路段单元，按事故严重程度赋予对应权重，并将学校、老年住宅、公交站点等周边环境因素纳入评分考量，最终生成综合评分。 最终综合评分与各类聚合事故统计数据，均可用于研判克利夫兰市道路交通安全状况，定位事故风险最高的交叉口。 ### 建模方法 1. 道路分段：将克利夫兰市道路网络（含交叉口）划分为标准化可比路段； 2. 事故数据聚合：在各路段内聚合事故数据，按事故严重类型统计事故总量； 3. 事故历史评分：为路段生成事故历史评分（Crash_Score_Total）； 4. 周边兴趣点识别：识别路段周边的关联设施（目前涵盖学校、老年活动中心、公交站点）； 5. 周边环境评分：基于路段周边需额外主动关注的设施数量，生成环境评分； 6. 社会脆弱性评估：采用美国疾病控制与预防中心（CDC, Centers for Disease Control and Prevention）的社会脆弱性指数（Social Vulnerability Index, SVI），结合该路段在克利夫兰市的区域排名，评估其所在区域的社会健康状况与脆弱程度； 7. 评分融合：整合事故评分与环境评分； 8. 脆弱性加权提升：依据社会脆弱性水平上调最终总分，例如针对贫困程度更深、存在种族歧视、住房与交通保障不足的社区所在路段，提升其评分权重。 ### 数据说明 字段详细信息请参见下文属性列表。 更新频率：从不更新 数据对接单位：克利夫兰市规划委员会