Measuring the Resilience of China Railway Network

Author(s):  
Liang Wang ◽  
Xiaolong Xue ◽  
Weirui Xue ◽  
Hongping Yuan
2016 ◽  
Vol 137 ◽  
pp. 772-776 ◽  
Author(s):  
Zhao Xiao-gang ◽  
Du Yan-ping ◽  
Zhu Ai-hua ◽  
Zhang Yuan ◽  
Wang Xiao-hui

2008 ◽  
Vol 19 (12) ◽  
pp. 1909-1918 ◽  
Author(s):  
LONG GUO ◽  
XU CAI

As well known, many real complex systems are directed and weighted ones. For understanding the topology structure of the directed China Railway Network (CRN) further, we analyze the degree properties of the directed CRN and propose a new method to measure the weight of station (i.e., the utilized efficiency of station) in CRN according to how CRN works really. Rigorous analysis of the existing CRN data shows that the CRN is an assortative network with scale-free degree distribution in space L. On the other hand, the cumulative distribution of station's relative weight, the cumulative distribution of the shortest path length between stations, and the relationship between relative weight and in-(out-)degree have been studied. Our present work provides a new perspective to define the weight of transport complex network, which will be helpful for studying the dynamics of CRN.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fenling Feng ◽  
Ziwen Tang ◽  
Lei Wang

With degree distribution characteristics of the China Railway geographic network, an optimization model from macro to micro is established on the relative entropy. Firstly, Poisson distribution of the China Railway geographic network is verified and fitted. Secondly, the “Twelfth Five-Year Plan” of the railway geographic network is chosen as an example on which a macro model is built. Finally, the “Twelfth Five-Year Plan” of Guangzhou Railway Group’s geographic network is chosen as the other example on which a micro model is built and our optimization scheme is proposed. Results reveal that, for improving the railway network fault tolerance, from the macroscopic aspect the “Twelfth Five-Year Plan” railway network should strengthen the railway agglomeration degree; then the microscopic optimization model is able to improve the fault tolerance effectively.


2013 ◽  
Vol 25 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Mian Yang ◽  
Y.J. Wang

A major problem addressed in railway network planning relates to distinguishing the role of the railway line in the network, and making a reasonable classification of the lines based on their role. Accessibility has been widely used to measure the role of transportation infrastructure in various studies, but few quantitative models for the classification of the role have been presented yet. In this paper, the line accessibility classification model is proposed, which aims to distinguish the role of railway lines in the network and to classify the lines into different grades. The practicability of the model is demonstrated through the case study of Northeast China railway network where the railway lines in Northeast China can be classified into three grades. The line accessibility classification model is supposed to be a strategic decision support tool for planners and policy makers to determine the classification of railway lines.


2014 ◽  
Vol 2 (2) ◽  
pp. 170-177
Author(s):  
Junmin Yi

AbstractFocus on the China Railway network and its planar route diagram for passengers, this study further extends network analysis to the representation of the railway network. After detail system analysis, backbone framework for the China Railway and its high-speed railway network is identified. With a straight-line principle, planning horizon till the year of 2020, and ergonomic pictogram measures, a brand new route diagram for China Railway passengers is created. This diagram will convey a new image and modern information of China Railway to meet the demand of passengers and the requirement of ever-expanding network.


2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
YaLan Bai ◽  
Haowen Yan ◽  
Liang Zhou

<p><strong>Abstract.</strong> With rapid development of big data technologies urbanization, the railway networks have also developed rapidly. The optimization of various aspects of railway networks has become more and more important with the shift of main contradictions in our society. With more than one hundred years of development of China railway network expansion, especially under the driving of “one belt and one road”, China railway network is gradually mature. Up to now, the total length of China railways ranks second in the world, with a mileage of 127,000&amp;thinsp;km. The spatial service scope of railway network has been further expanded and the structure has become more and more perfect, which has brought positive impacts on the development of all aspects of China. This paper analyzes the railways (lines) and stations (points) in five different development stages in China in the past 100 years, by means of spatial statistical and nuclear density analysis, based on which the spatial accessibility in different periods is calculated using cost distance analysis. The results show that the distribution of spatial pattern in Middle East region is higher than that in west region. The accessibility shows a significant difference between east and west, that the eastern region is superior to the western region. The difference of spatial pattern between the north and the south of Yangtze river is obvious. The overall spatial pattern presents a concentric structure, radiating from the North China region to the surrounding areas, and the reachable time from the North China region to the East China and Central South regions is gradually increasing.</p><p>The conclusions of the study are as follows:</p><p>(1) The coverage region of China railways has been expanded.Since the completion of the first self-built railway (Beijing-Zhangjiakou Railway), the total length of China railways,has expanded from 5006.5&amp;thinsp;km in 1911 to 127,000&amp;thinsp;km in the end of 2017, which means it has increased by 253.6 times over 100 years, with an average annual growth rate of 1,1933.9&amp;thinsp;km. The coverage of China Railways has expanded from 21 provinces in 1911 to all the provinces.</p><p>(2) The development of the time accessibility of the China railway network takes a favorable trend. The railway network has gradually improved,after more than 100 years’ development. In 1911, the number of prefecture-level stations connected by the China railway network was only 62. By 2000, 83.6% of prefecture-level stations in China had been connected, and the number of connected ground-level stations reached 276. In 2018, more than 3066 ground-level stations have been connected,reaching time reduced from 1030 hours in 1911 to 64 hours in 2018. For example, the time from Beijing to Shanghai was shortened from more than 30 hours to 4 hours, saving about 8 times than before. It provides an important guarantee for the exchange of information between various regions in China.</p><p>(3) The overall expansion of China railway network presents an expansion from the coastal areas to inland areas. A detailed analysis of the seven major economic zones shows the expansion is from Bohai Economic Zone to other economic zones. After five stages of development, the sites in the eastern, central and western regions accounted for 28%, 33% and 38% respectively of the total. The spatial distribution of the sites in the eastern, central and western regions gradually became balanced, but the degree of perfection still differed.</p>


2013 ◽  
Vol 712-715 ◽  
pp. 3001-3005
Author(s):  
Gao Yan Lv ◽  
Jian Qin Zhou ◽  
Wen Liang Bian

Based on China railway freight transportation network, this paper builds the railway transport network. Then, according to uneven distribution of capacity and the problems of asymmetric information, low efficiency of railway freight transportation, the paper puts forward the resolving method by whole network Christopher of the social network analysis. In this paper, according to the China railway transportation network statistics results of China railway freight transportation network Christopher, whole Christopher coefficient is 0.39. Originally, the study also concluded that the degrees of freight volume, using to finding out the problems of multiple nodes, sorting and take the strategy to improve group coefficient better. All in all, this paper solved the problem of China railway network understanding and gave advice for improving China's railway transportation economic benefits.


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