E3S Web Conf.
Volume 136, 20192019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|Number of page(s)||6|
|Section||Urban Public Safety|
|Published online||10 December 2019|
The study of Coopetition between Public Bus and Bike Sharing based on Environmental Protection
School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China
* Corresponding author’s e-mail: hyzhou@bjtu..edu.cn
Recently, the traditional travel modes and public transportation system in urban areas have undergone some subtle changes under the impact of shared bikes, especially for public bus, which is the most impacted by the shared bikes. Therefore, this paper mainly aims at studying the impact of shared bicycles on the public bus from both competitive and cooperative perspectives. More specifically, this study will explore the coopetition relationship between these two modes from travellers’ behaviour perspective. An SP survey has been conducted on traveller in Beijing and a Multinomial Logit model was adopted to quantitatively analyse the effect of various factors on travellers’ modal choice between bus and shared bikes. In this study, the estimation results show that the travel distance, road infrastructure, and travelers’ psychological factors all suggest a competition between bus and bike sharing. On the contrary, distance between bus transfer stations will also lead to modal cooperation. Finally, some policy implications have been proposed to better facilitate public transports and promote the sustainable development of whole urban transport system.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.