Cleveland GISCity 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 CommissionArcGIS FeatureLayerhttps://hub.arcgis.com/datasets/7c6b61c4a4aa494d9ff95a4a43d5e6d9_62engCity of Cleveland Open DataPublicStreet Priority Index Final Result: All Crashes 2017-2021 [Ohio--Cleveland]Web servicesOhio--ClevelandOhio2017-2021