Citation

Albiński S, Fontaine P, Minner S. Transp. Res. E Logist. Transp. Rev. 2018; 116: 59-69.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.tre.2018.05.011

PMID

unavailable

Abstract

We investigate a hybrid bike-sharing system. We carry out a usage pattern and demand analysis on the booking data of the system and include the effects of censored demand in a service level analysis. Service levels are used as meaningful measures for evaluating the customer-oriented performance of bike-sharing systems. Our results show that service levels are overestimated when ignoring unobservable, censored demand effects. Furthermore, there are significant differences between free-standing and station-based bikes. Based on these results, an adjusted incentive and reposition policy could increase the booking number of free-standing bikes and thus customer satisfaction as well as the system's profitability.

Language: en

Keywords

Bike sharing; Censored demand; Data analysis; Hybrid bike sharing system; Service levels