Data-Driven Analysis of Bicycle Lane Safety in Mexican Cities: Towards a Real-Time Route Recommendation System for Cyclists

Carlos Alberto Domínguez-Báez, Carlos Alberto Domínguez-Báez, Ricardo Mendoza-González, Huizilopoztli Luna-García

2025

Abstract

This study initiated a project to identify urban cycling routes with a focus on cyclist safety in Mexican cities. A Data-Driven Analysis approach was implemented to map the riskiest and safest cycling routes by analysing traffic accident data from national, state, and local datasets. The accident hotspots were visually integrated into the urban map of Guadalajara city (Jalisco, Mexico), to identify high-risk zones for cyclists. The integration of diverse data sources and geospatial analysis allowed for an accurate characterization of accident patterns, providing a clear identification of critical areas. Key results from this initial stage of the project included an accurate risk-zones identification, a replicable methodology for data integration, and a first approach to developing algorithms for cyclist accident analysis. These preliminary findings hold promise for enhancing urban cycling safety and supporting urban eco-mobility strategies in Mexican cities. Additionally, the results served as a foundation for future exploration of machine learning techniques to refine data processing and develop a real-time safe bicycle lane recommender prototype aimed at guiding cyclists toward safer alternatives.

Paper Citation

in Harvard Style

Domínguez-Báez C., Mendoza-González R. and Luna-García H. (2025). Data-Driven Analysis of Bicycle Lane Safety in Mexican Cities: Towards a Real-Time Route Recommendation System for Cyclists. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 543-548. DOI: 10.5220/0013365100003941

in Bibtex Style

@conference{vehits25,
author={Carlos Domínguez-Báez and Ricardo Mendoza-González and Huizilopoztli Luna-García},
title={Data-Driven Analysis of Bicycle Lane Safety in Mexican Cities: Towards a Real-Time Route Recommendation System for Cyclists},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={543-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013365100003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Data-Driven Analysis of Bicycle Lane Safety in Mexican Cities: Towards a Real-Time Route Recommendation System for Cyclists
SN - 978-989-758-745-0
AU - Domínguez-Báez C.
AU - Mendoza-González R.
AU - Luna-García H.
PY - 2025
SP - 543
EP - 548
DO - 10.5220/0013365100003941
PB - SciTePress