2026-04-29T05:54:08Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/69042024-05-17T07:54:39Zcom_10259.4_104com_10259_2604col_10259_6848

Predicting on-time deliveries in trucking: A model based on the working conditions of drivers Berrones-Sanz, Luis David Logística Operaciones Transporte de mercancías Logistics Operations Transportation of goods Transportes Organización del trabajo Transportation Methods engineering Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos Over a period of two years, 26.3 thousand road freight shipments were recorded. The records include information about truckload companies, drivers, and the causes of noncompliance and delays in deliveries. Logistic regression based in working conditions as independent variables was used to predict non-compliance deliveries attributed to cargo drivers. Results show that vehicle type, medical coverage and social security, level of stress, work dissatisfaction, and transit time were strongly associated with out-of-timedelays in deliveries. The proposed model is a promising tool to improve the performance of truckload companies and it may motivate to benefit working conditions of truckers. 2022-09-19T07:35:33Z 2022-09-19T07:35:33Z 2021-07 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion 978-84-18465-12-3 http://hdl.handle.net/10259/6904 10.36443/10259/6904 eng R-Evolucionando el transporte http://hdl.handle.net/10259/6490 https://doi.org/10.36443/9788418465123 info:eu-repo/semantics/openAccess application/pdf Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional