Leveraging Publicly Available Data To Identify Candidate Intersections For Tactical Urbanism Efforts Using Geospatial Analysis

Urban strategies and countermeasures to increase pedestrian safety in low-density neighborhoods have been proposed by the Federal Highway Administration. Often municipalities have limited resources and would like to have a strategy to achieve maximum impact per dollar spent, as is the case in El Paso. El Paso's urban landscape is a mix of urban, residential, and commercial in the exurbs of the city. Most of El Paso consists of low-density industrial land, commercial strips, and residential development. A scalable and transferable approach was developed to identify intersections that have the potential to reduce traffic-related fatalities and increase pedestrian safety through targeted intervention. This approach was applied to a case study in El Paso. Surveys and manual data were taken to augment data already available from public agencies. A list of priority intersections in El Paso were identified and are discussed.