Exploring public bicycle network structure based on complex network theory and shortest path analysis: the public bicycle system in Yixing, China
Exploring public bicycle network structure based on complex network theory and shortest path analysis: the public bicycle system in Yixing, China
复制标题
基于复杂网络理论和最短路径分析的公共自行车网络结构探索——宜兴公共自行车系统
DOI：
10.1080/03081060.2019.1576385
复制
发表时间：
2019-02
影响因子：
1.6
通讯作者：
Ma Haitao
中科院分区：
文献类型：
--
作者：
Wei Sheng;Xu Jiangang;Ma Haitao
一个良好的公共自行车系统不仅与其运行方式、车辆配置、租赁站点布局和车辆租赁配置有关，还与自行车网络结构及其形成有关。然而，后者在中国被广泛忽视。在此，我们将进一步吸引更多的研究人员进行相关研究，并为世界各地许多中小城市的公共自行车交通发展提出建议。我们展示了如何探索公共自行车网络结构的县级中国城市-宜兴-著名的陶器和旅游。研究表明，复杂网络理论和最短路径分析技术可以从网络拓扑、子网络空间分布和交通流等方面刻画公共自行车网络结构。最后，提出了相应的城市规划策略。
ABSTRACT A well-functioning public bicycle system relates not only to its mode of operation, vehicle allocation, rental station layout and vehicle leasing configuration, but also the bicycle network structure and its formation. However, the latter aspects have been widely overlooked in China. Here, we help to further attract more researchers to conduct relevant studies and make suggestions for the development of public bicycle transport in many small and medium-sized cities across the world. We demonstrate how to explore the public bicycle network structure of a county-level Chinese city – Yixing – known for its clay ware and tourism. We show that complex network theory and shortest path analysis technology are useful in characterizing the public bicycle network structure, in aspects such as network topology, the spatial distribution of sub-networks and traffic flows. Finally, the paper proposes relevant urban planning strategies.
登录
查看更多内容
影响因子：
8.2
作者：
Dr A. Alavi
通讯作者：
Dr A. Alavi
影响因子：
3.7
作者：
Zaltz Austwick M;O'Brien O;Strano E;Viana M
通讯作者：
Viana M
DOI：
10.1090/dimacs/074
发表时间：
2009-07
期刊：
--
影响因子：
--
作者：
C. Demetrescu;A. Goldberg;David S. Johnson
通讯作者：
C. Demetrescu;A. Goldberg;David S. Johnson
DOI：
10.1016/j.trc.2011.12.004
发表时间：
2012-06-01
影响因子：
8.3
作者：
Lathia, Neal;Ahmed, Saniul;Capra, Licia
通讯作者：
Capra, Licia
DOI：
10.1016/j.physa.2011.11.035
发表时间：
2012-03-01
影响因子：
3.3
作者：
Liang, Xiao;Zheng, Xudong;Xu, Ke
通讯作者：
Xu, Ke