Prediction of motorcyclist traffic crashes in Cartagena (Colombia): Development of a safety performance function
Motorcyclists account for more than 380 000 deaths annually worldwide from road traffic accidents. Motorcyclists are the most vulnerable road users worldwide to road safety (28% of global fatalities), together with cyclists and pedestrians. Approximately 80% of deaths are from low- or middle-income...
- Autores:
-
Ospina-Mateus, Holman
Quintana Jiménez, Leonardo Augusto
Lopez-Valdes, Francisco J.
Sana, Shib Sankar
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12302
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12302
- Palabra clave:
- Crashes
Empirical Bayesian approach
Motorcycle
Negative binomial regression
Prone-section
Safety performance function
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/