
Title:Pedestrian Counts, Urban Characteristics, and Correlation Matrix Data in Hermosillo, Mexico Authors: Marco Antonio Ramos Corella Gerardo Ramírez Uribe Jesús Quintana Pacheco Arturo Ojeda de la Cruz Description:This dataset contains the information collected and analyzed in the study "Microscale Analysis of Walkability and Urban Safety in the Downtown Area of Hermosillo." The data includes: Pedestrian Counts: Observed pedestrian flow data from 60 specific points in downtown Hermosillo. Counts were conducted at different times and days to capture temporal variations. Urban Characteristics: 17 variables describing aspects of the built environment, such as: Sidewalk width (in meters). Lighting (presence/absence). Sidewalk slope (%). Presence of urban furniture. Land use in the area, among others. Each variable is quantified for the same 60 observation points. Correlation Matrix: Results of Spearman correlation analysis between urban variables and pedestrian counts. The matrix includes correlation coefficients and statistical significance values. File Formats: Pedestrian Counts Hermosillo.xlsx: Contains pedestrian counts organized by observation point, including time, and detailing the 17 built environment variables with their respective values for each point. Correlation Matrix.xlsx: Provides the correlation matrix with Spearman values and significance levels. License:CC BY 4.0 (Allows reuse with proper attribution). Additional Notes: The data is ready for analysis and can be reused in studies related to walkability, urban design, and sustainability. Please refer to the included README.txt file for detailed explanations of the dataset variables.
Sustainable transport, walkability, Urban mobility
Sustainable transport, walkability, Urban mobility
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