Dynamic Investigations of Shared Bicycle Operators’ Competition Based on Profit Maximization

With the rise of the sharing economy, shared bicycles have become an important component of urban transportation. This paper explores the nonlinear dual oligopoly system for the Cournot model in the bike-sharing market; both operators have maximized profits as their competitive goals. The analysis of pivotal factors influencing passenger preferences, including pricing discounts and comfort levels, is meticulously depicted by a bifurcation diagram. A new chaotic attractor—the shared bicycle attractor—is discovered. The research results indicate that larger discounts and adjustment speeds can cause the system to be in a chaotic state, which is not conducive to the long-term development of operators, although discounts can indeed attract more passengers to a certain extent. On the other hand, the increase in the marginal cost of comfort loss can also make it difficult for enterprises to operate, which requires continuous technological innovation to improve the comfort of cycling.

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Publication Details

Journal
Applied Sciences
Published
2024-10-11
DOI
https://doi.org/10.3390/app14209223
Citations
5
Primary Topic
Consumer Market Behavior and Pricing
Type
article
Field-Weighted Citation Impact
2.19

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article

Dynamic Investigations of Shared Bicycle Operators’ Competition Based on Profit Maximization

Lishuang Bian, Minjia Tan, Xiaoyu Wu, Qizhou Hu et al.
5 citations
Applied Sciences
Consumer Market Behavior and Pricing
2.19
article

Dynamic Investigations of Shared Bicycle Operators’ Competition Based on Profit Maximization

Lishuang Bian, Minjia Tan, Xiaoyu Wu, Qizhou Hu, Zhang Xin
article en
5 citations

Abstract

With the rise of the sharing economy, shared bicycles have become an important component of urban transportation. This paper explores the nonlinear dual oligopoly system for the Cournot model in the bike-sharing market; both operators have maximized profits as their competitive goals. The analysis of pivotal factors influencing passenger preferences, including pricing discounts and comfort levels, is meticulously depicted by a bifurcation diagram. A new chaotic attractor—the shared bicycle attractor—is discovered. The research results indicate that larger discounts and adjustment speeds can cause the system to be in a chaotic state, which is not conducive to the long-term development of operators, although discounts can indeed attract more passengers to a certain extent. On the other hand, the increase in the marginal cost of comfort loss can also make it difficult for enterprises to operate, which requires continuous technological innovation to improve the comfort of cycling.

Applied SciencesVol. 14(20)
Nanjing University of Science and Technology (CN), Jiangsu University of Science and Technology (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Consumer Market Behavior and Pricing
2.19
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