Medellin Mobility and Perception Data
Description
This dataset contains the data used in the analysis of mobility and perception in Medellín, Colombia, associated with the article "Social Impacts and Road Safety in Intermodality: Case Study of the Ayacucho Tram in Medellín-Colombia". The dataset comprises two primary sources: - Historical Mobility Data: A file detailing historical traffic incidents in the city, including severity, incident type, and victim characteristics (gender, role, and mode of transport). - Perception Survey (2024): Responses from a survey conducted with citizens in the Ayacucho Tram corridor. It measures perceptions of infrastructure quality, road safety, travel habits, and accessibility for pedestrians and cyclists. The dataset also includes the R script (Script_Analisis_Movilidad.R) required to reproduce the figures and the logistic regression model presented in the study. The README.txt file provides a detailed guide to the variables and the use of the script.
Files
Steps to reproduce
This dataset is composed of two distinct sources: - Historical Data: Open data from Medellín's public repository (2008–2023) were used to establish a quantitative baseline of the urban mobility and road safety landscape. The information was processed and organized into two main tables: incidents and victims. - Perception Survey: During the first half of 2024, a mobility survey was conducted with tram corridor users to capture user-centric perceptions. The instrument was a questionnaire designed to measure eight key constructs: respondent profile, mode of transport, travel purpose, motivations, perception of time, accessibility, road safety, and quality of space. Processing and Software Data from both sources were processed and analyzed using the statistical software R (version 4.5.1). The attached script (Script_Analisis_Movilidad.R) details the complete workflow for generating the figures and the logistic regression model.
Institutions
- Universidad Nacional de Colombia Sede Manizales