Modeling the Demand for Bicycle Parking Facilities

Abstract

(147 WORDS)

Improving opportunities for bicycle parking is essential for promoting cycling. However, there is a lack of approaches for predicting the demand for bicycle parking based on the facility type and the facility's location. Considering both during planning could help improve bicycle parking according to user needs. This is particularly applicable when cyclists face several parking options, such as on university campuses, as in our case study. The paper presents a stated preference-based model, which was additionally calibrated using bicycle parking count data. Considering facility types improves the model fit substantially. Furthermore, the stated preference-based, original model underestimates the sensitivity to walking distances between facilities and buildings. When cyclists can choose between multiple parking facilities, it is critical to consider walking distances to realistically predict the demand for bicycle parking facilities. This confirms previous findings, that positioning parking facilities close to destinations is essential for attractive parking infrastructure.