Study on the Diffusion Law of Electric Vehicle Sharing in Complex Social Network Environment 2023-01-0889
Electric vehicle sharing (EVS) can alleviate traffic congestion and reduce emissions. However, the poor user experience and lack of word-of-mouth effect lead to the low utilization rate of EVS in China. Based on the demand and pain points of EVS, this paper concentrates on travel mode choice behavior of consumers under social networks and establishes an agent-based model for EVS diffusion. The results show that: (1) Social networks can promote the diffusion of EVS and the number of opinion leaders and the number of fans of opinion leaders play an important role. (2) Consumers are more sensitive to travel costs than non-travel time now, but with the improvement of demand for travel experience, consumers are more concerned with non-travel time. (3) The non-travel time of EVS needs to be reduced to 9, 8 and 7 minutes respectively to retain users when the travel cost increases to 0.7, 0.8 and 0.9 Yuan/minute.
Citation: Shang, K., Wang, N., and Tian, H., "Study on the Diffusion Law of Electric Vehicle Sharing in Complex Social Network Environment," SAE Technical Paper 2023-01-0889, 2023, https://doi.org/10.4271/2023-01-0889. Download Citation
Author(s):
Kai Shang, Ning Wang, Hangqi Tian
Affiliated:
Tongji University
Pages: 13
Event:
WCX SAE World Congress Experience
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Electric vehicles
Congestion
Fans
Data exchange
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