Published Feb 24, 2020


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Mauricio Jose Orozco-Fontalvo, MSc

Sheila Martínez, BSc

Julián Arellana, PhD

Laura Vega, MSc



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.


escala maxdiff, logit multinomial, elección de parqueaderos, gestión de parqueaderobest-worst scaling, multinomial logit, parking choice, parking management

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How to Cite
Orozco-Fontalvo, M. J., Martínez, S., Arellana, J., & Vega, L. (2020). A BWS Application to Identify Factors Affecting User Preferences for Parking Choices at University Campuses. Ingenieria Y Universidad, 24.
Transportation engineering