Zhang, J. and Meng, M. ORCID: https://orcid.org/0000-0001-7240-6454 (2019) Bike allocation strategies in a competitive dockless bike sharing market. Journal of Cleaner Production, 233. pp. 869-879. ISSN 0959-6526 (doi:10.1016/j.jclepro.2019.06.070)

Preview

PDF (Author's Accepted Mauscript) 24772 MENG_Bike_Allocation_Competitive_Dockless_Market_(AAM)_2019.pdf - Accepted Version Download (1MB) | Preview

Abstract

This paper investigates bike allocation strategy in a competitive dockless bike sharing market from both market leader and market follower’s perspective. Market leader aims to grasp the market using the shortest time, while market follower wants to get the market share from market leader. The initial bike allocation position, coverage area and allocation method are investigated based on community structure method. An approximate optimal allocation model is proposed to maximise the recourses. Numerical examples are tested in a simplified Sioux Falls network and a real bike sharing network in Singapore to illustrate the effectiveness and practicability. Results show that the proposed method could identify the reasonable and efficient allocation position quickly. Market follower should apply the same allocation strategy as market leader, while use lower ticket, more bikes, and large batches allocation to strive for market share.

Item Type:	Article
Uncontrolled Keywords:	Dockless bike sharing, allocation strategy, complex network, community structure, competitive market
Subjects:	H Social Sciences > HB Economic Theory
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy
Last Modified:	15 Jun 2020 01:38
URI:	http://gala.gre.ac.uk/id/eprint/24772

Actions (login required)

View Item

Downloads