Cheng Hui-Min, Ning Yi-Zi, Ma Xiaoke, Liu Xin, Zhang Zhong-Yuan
School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, P.R. China.
School of Computer Science and Technology, Xidian University, Xi'an, P.R. China.
PLoS One. 2017 Jul 13;12(7):e0180075. doi: 10.1371/journal.pone.0180075. eCollection 2017.
The effectiveness of rapid rail transit system is analyzed using tools of complex network for the first time. We evaluated the effectiveness of the system in Beijing quantitatively from different perspectives, including descriptive statistics analysis, bridging property, centrality property, ability of connecting different part of the system and ability of disease spreading. The results showed that the public transport of Beijing does benefit from the rapid rail transit lines, and the benefit of different regions from RRTS is gradually decreased from the north to the south. The paper concluded with some policy suggestions regarding how to promote the system. This study offered significant insight that can help understand the public transportation better. The methodology can be easily applied to analyze other urban public systems, such as electricity grid, water system, to develop more livable cities.
首次运用复杂网络工具对快速轨道交通系统的有效性进行分析。我们从不同角度对北京该系统的有效性进行了定量评估，包括描述性统计分析、桥接特性、中心性特性、连接系统不同部分的能力以及疾病传播能力。结果表明，北京的公共交通确实受益于快速轨道交通线路，不同区域从快速轨道交通系统中获得的益处从北向南逐渐减少。论文最后给出了一些关于如何推动该系统发展的政策建议。这项研究提供了重要见解，有助于更好地理解公共交通。该方法可轻松应用于分析其他城市公共系统，如电网、水系统，以建设更宜居的城市。
