A. SUMMARY This dataset includes street segments that were identified to be on the 2024 High Injury Network (HIN). The HIN shows the street corridors that had the highest concentration of severe and fatal injuries in the years 2020 to 2024.

Using the High Injury Network, San Francisco is better able to prioritize city resources to implement engineering, education, and enforcement activities that serve to make the streets safer.

B. HOW THE DATASET IS CREATED This dataset is sourced from traffic crash data from the San Francisco Police Department, hospital data from Zuckerberg San Francisco General Hospital (ZSFG), and ambulance operator data from American Medical Response (AMR) and the San Francisco Fire Department Emergency Medical Services (EMS). These data are linked using a non-probabilistic deterministic method to match records between these three data sources. Once they are matched, any details about the crash circumstances are defaulted to come from the San Francisco Police Department (SFPD), and the final injury severity determination is sourced from ZSFG Hospital. The dataset also includes un-matched SFPD severe and fatal crash victims that had associated geolocations, as well as un-linked ZSFG Hospital data from the Trauma Registry that had linked geolocation data from the ambulance operators’ pick- up locations.

San Francisco’s street centerline data layer is corridorized into segments that are at least 0.25 miles long along segments that share the same street name. Then, the point data of Killed or Severely Injured (KSI) is plotted onto the map and a KSI per mile per corridor is calculated based on a count of points that geographically intersect a given corridor.

The base map for the HIN is created by filtering corridors based on minimum length. Any corridor that is less than 0.25 miles in total length is excluded from eligibility onto the network. Then, corridors are selected based on a minimum cutpoint of “greater than or equal to 10 KSI per mile per corridor.”

Additional processing of the map includes finding street segments of the base HIN map that are greater than 500 feet away from the last on-HIN KSI on that street. These “stubs” are removed before producing the final HIN map in order to further prioritize city resources on the streets with the highest 5-year incidence of severe injuries and fatalities.

C. UPDATE PROCESS This dataset will not need to be updated once published.

D. HOW TO USE THIS DATASET This dataset only includes street segments that were identified to be on the High Injury Network.

E. RELATED DATASETS Traffic Crashes Resulting in Injury Traffic Crashes Resulting in Injury: Parties Involved Traffic Crashes Resulting in Injury: Victims Involved Traffic Crashes Resulting in Fatality 2022 High Injury Network

F. KNOWN USES * San Francisco County Transportation Authority * Public health injury prevention professionals * SFMTA staff * Transit Advocates * Pedestrian advocates * Bicycling advocates * Senior health centers and residential centers * Automobile insurance companies * California Office of Traffic Safety