Influence of road environmental factors on traffic accidents involving vulnerable road users through negative binomial models.

ABSTRACT: Ensuring pedestrian safety is crucial for establishing fair and sustainable transportation systems. However, certain demographics face disproportionately higher risks, necessitating age-appropriate policy and design strategies. This study provides a comprehensive analysis of the relationships between objectively measured road infrastructure attributes and pedestrian accident frequencies involving vulnerable groups in Hunan Province, China. By leveraging detailed historical crash records linked to spatially-explicit infrastructure data, the research team employed advanced count regression modeling techniques, including negative binomial (NB) and zero truncated tail negative binomial (ZTNB) specifications, to systematically evaluate the safety impacts of roadway functional classification, in

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11824970 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature