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Mauricio Jose Orozco-Fontalvo https://orcid.org/0000-0003-0514-4647

Sheila Martínez https://orcid.org/0000-0002-8014-9088

Julián Arellana https://orcid.org/0000-0001-7834-5541

Laura Vega https://orcid.org/0000-0002-9869-4578

Abstract

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.

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Keywords

best-worst scaling, multinomial logit, parking choice, parking management

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How to Cite
Orozco-Fontalvo, M., 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(1). https://doi.org/10.11144/Javeriana.iyu24.aifa
Section
Transportation engineering
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