This research analyzes cyclists' route decision by considering attributes of road safety and security from GPS records of a mobile application in Bogotá. The dataset comprises 3016 georeferenced routes of cyclists registered in the Biko mobile application during February 2018. This database was complemented with accident and thefts records from public entities, a descriptive statistical univariate analysis (RStudio), a Multiple Correspondence Analysis -MCA- (Stata), with multivariate statistical approach, and geographic component (QGIS and ArcGIS). The methods allowed obtaining: [i] a procedure for characterizing quantitative variables per km of route traveled; [ii] Categorization of continuous variables for establishing multivariate relationships through MCA -prerequisite for using this method instead of using surveys (Mobility survey 2019 cyclists' section in Bogotá); [iii] cyclists' commuting patterns with identification of main Origin - Destination zones (UTAM in Bogotá), and [iv] possible initial conditions for the public policies approach in Bogotá, with a continuous comparison between case studies in: Colombia, Latin America, Europe, and the United States, in order to be replicable for any city. ... [From: Introduction]
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:82498 |
| Date | 28 December 2022 |
| Creators | Ramírez-Leuro, Laura D., Bulla-Cruz, Lenin A. |
| Publisher | Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | urn:nbn:de:bsz:14-qucosa2-813602, qucosa:81360 |
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