Database Cyclists. Medellin, Colombia

Published: 01-08-2020| Version 1 | DOI: 10.17632/w22y5zk9kh.1
Juan Ospina,
victor lopez,
Veronica Botero-Fernandez,
Juan C. Duque


The information included in this database is associated with the Data in Brief article entitled "A database to analyze cycling routes in Medellin, Colombia". These data relies on information derived from a survey targeting current bicycle commuters who were recruited by using a mixed random and nonrandom method to obtain a diversity of cyclist profiles. A bicycle route questionnaire was designed to collect data containing information about the characteristics of cyclists and detailed information related to the routes they take. The survey execution targeted current bicycle commuters in Medellin, Colombia by distributing the questionnaires online, personally by telephone and personally on the street. The survey was conducted from February 2017 to March 2017, which is considered a regular-season for studying and working. From all the respondents, we selected current cyclists who could accurately recall their routes, which was the main goal of our survey. Consequently, we surveyed 810 cyclists whose routes were geocoded and then matched to a street network. Finally, the physical variables corresponding to the routes were generated using scripts written in the Python programming language for Qgis. These data will be useful to support strategies aiming to promote bicycling as a mode of transportation. Several types of analysis may be derived from the data, including an explanation of the factors determining the route choice and route comparisons according to the sociodemographics and locations of users. For instance, these data have already been used by Ospina et al. (2020) [1] where they sought to understand cycling travel distance in Medellin city. [1] J. P. Ospina, V. Botero-Fernández, J. C. Duque, M. Brussel, and A. Grigolon, “Understanding cycling travel distance: The case of Medellin city (Colombia),” Transp. Res. Part D Transp. Environ., vol. 86, no. 102423, pp. 1–15, 2020.