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Sustainability 2017, 9(6), 895; doi:10.3390/su9060895

A Dynamic Programming Model for Operation Decision-Making in Bicycle Sharing Systems under a Sustainable Development Perspective

Department of Management Science and Engineering, Business School of Hunan University, Changsha 410082, China
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Academic Editor: Yongrok Choi
Received: 9 March 2017 / Revised: 9 May 2017 / Accepted: 23 May 2017 / Published: 2 June 2017
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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Abstract

Maintaining a balance between revenue and expenditure is the key to the sustainable development of a bicycle sharing system (BSS), and is a challenge for almost all systems worldwide. This article proposes a dynamic programming approach to obtain the optimal strategy to maximize the revenue of overall BSS. The Variable Granularity-Depth First Search (VG-DFS) algorithm is designed to speed up the solution. A numerical experiment is presented to verify the applicability of the model through a comparison with real data from the BSS in Hangzhou. Results indicated that the BSS could achieve break-even, or even obtain a substantial income by utilizing our model to make operational decisions, especially when the region it is located in has a relatively high GDP. Moreover, the best investment strategy proved is to involve stations in the initial construction period of the BSS as much as possible. View Full-Text
Keywords: bicycle sharing system; dynamic programming model; Stackelberg game; sustainable development bicycle sharing system; dynamic programming model; Stackelberg game; sustainable development
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Li, L.; Shan, M.; Li, Y.; Liang, S. A Dynamic Programming Model for Operation Decision-Making in Bicycle Sharing Systems under a Sustainable Development Perspective. Sustainability 2017, 9, 895.

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