Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/73749
Title: Customer satisfaction of bike sharing systems and an artificial bee colony algorithm for bike repositioning problem
Authors: Feng, XH
Chen, Y
Wu, YZ
Zhang, SZ 
Keywords: Artificial bee colony algorithm
Bike repositioning
Bike sharing
Customer satisfaction
Issue Date: 2016
Publisher: Computers and Industrial Engineering
Source: CIE 2016: 46th International Conferences on Computers and Industrial Engineering, 2016, p. 2 How to cite?
Abstract: The paper studies the bike-sharing system that is popular in many cities all around the world. It is also a useful way of relieving greenhouse gas emission and traffic congestion. However, the customer satisfaction (CS) of such systems is rarely explored. Therefore, it would be interesting to discuss the factors that have significant impacts on the CS of bike-sharing systems. First, we develop a model to investigate the CS based on the Cognitive-Affective System Theory of Personality that has been used in analyzing the CS in several industries. We design encoding process and customer behavior generation process to analyze how factors influence the CS. The factors that influence the CS significantly are revealed. Second, based on the CS analysis, we develop a model of the bike repositioning problem to maximize the CS of bike-sharing systems. Because it is an NP-hard problem, an artificial bee colony (ABC) algorithm, derived from the intelligent collective behavior of bee colony, is employed to solve the bike repositioning problem. Three unique features of ABC algorithm, i.e., self-organization, decentralization and labor division, guarantee the effectiveness and efficiency of the ABC algorithm. The advantage of the proposed model and algorithm can be further examined and validated through numerical experiments.
URI: http://hdl.handle.net/10397/73749
Appears in Collections:Conference Paper

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