A BWS application to identify factors affecting user preferences for parking choices at university campuses

Parking around university campuses has become a major issue in recent decades because of nearby congestion impacts. Objective: To determine the factors influencing parking lot selection, which is crucial to propose adequate parking demand management strategies. Materials and Methods: We evaluate different attributes using a best-worst scaling survey applied at Universidad de la Costa (CUC), Colombia. Using discrete choice modeling techniques, we identified the extent to which selected infrastructure attributes influence parking behavior. Results: Security and cover (roof) availability are the most relevant attributes of parking choice in the case study. Conclusions: Based on our results, we strongly recommend implementing a dynamic pricing rate, roof pricing, removing “reserved spots” and investing in security.

• Autores: Orozco-Fontalvo, Mauricio; Martínez, Sheila; Arellana, Julian; Vega, Laura
• Tipo de recurso: Article of journal
• Fecha de publicación: 2020
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/7756
• Acceso en línea: https://hdl.handle.net/11323/7756; https://doi.org/10.11144/Javeriana.iyu24.aifa; https://repositorio.cuc.edu.co/
• Palabra clave: escala maxdiff; logit multinomial; elección de parqueaderos; gestión de parqueaderobest-worst scaling; multinomial logit; parking choice; parking management
• Rights: openAccess
• License: Attribution-NonCommercial-NoDerivatives 4.0 International