Developing a Framework for Prioritizing Bicycle Safety Improvement Projects using Crowdsourced and Image-Based Data (06-010)

Project Description: Data was collected through multiple sources listed below, in multiple steps, during the years 2022 and 2023. StreetLight Data EPA EJScreen tool ESRI GIS Layer based on Census data and SANDAG Shapefiles Street-Level Metrics Based on Google Street View (GSV) Images Google Street view Data Scope: The data includes 244 columns, where Column A refers to the Location IDs, and Columns B-J are used to identify the target variable, while the rest represent predictors used in the analysis. The dataset consists of 51 rows, with the first row containing the column titles and the remaining 50 rows containing information for 50 locations. All variables are numerical. Data Specification: Description of each variable as well as the data source is provided in the Data Dictionary document below.