A high-resolution geospatial dataset of cyclist-involved crashes and segmented cycling infrastructure in the Guadalajara metropolitan area (2015-2024).

ABSTRACT: We release a geospatial, segment-level dataset linking 774 cyclist-involved crashes (2015-2024) in the Guadalajara Metropolitan Area (Mexico) to a uniformly segmented cycling network. The network is split into ∼20-m micro-segments, enabling the assignment of each crash to a unique segment identifier (IDSegmento) and the computation of a segment level event concentration variable (Concentracion_accidentes). All records are validated for spatial plausibility and key integrity; machine-readable metadata, schemas, codebooks, and checksums are included for full reproducibility. This structure facilitates fine-grained spatial analysis, hotspot detection, and model training without further geocoding. The dataset is suitable for research on cyclist safety, infrastructure planning, and policy evalu

SUBMITTER: Dominguez-Baez CA 

PROVIDER: S-EPMC12813473 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature