Analysis on Transport Networks of Railway, Subway and Waterbus in Japan

Majima, Takahiro; Katuhara, Mitujiro; Takadama, Keiki

doi:10.1007/978-3-540-71075-2_8

Cited by 11 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on these calculations, the small world properties and exponential degree distribution of the Indian railway network are identified. An extension to this was provided by Majima et al [15] as the same topology was applied to the Japanese railway network and the same statistical results were obtained. While two different networks exhibited the same properties when illustrated using the P-Space representation, the Chinese railway network also displayed the small world properties of the shortest distance between stations and high clustering coefficient, however, with a power-law degree distribution [13].…”

Section: Introductionmentioning

confidence: 76%

Complex Network Analysis of Pakistan Railways

Mohmand

Ai-hu

2014

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

We study the structural properties of Pakistan railway network (PRN), where railway stations are considered as nodes while edges are represented by trains directly linking two stations. The network displays small world properties and is assortative in nature. Based on betweenness and closeness centralities of the nodes, the most important cities are identified with respect to connectivity as this could help in identifying the potential congestion points in the network.

show abstract

Section: Introductionmentioning

confidence: 76%

Complex Network Analysis of Pakistan Railways

Mohmand

Ai-hu

2014

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

show abstract

“…Such a degree distribution is especially noteworthy, in the sense that it is quite different from the previously reported network properties of railway systems, as well as other PTSs. Exponential degree distributions have been repeatedly found in Indian [15], Polish, Swiss and Central European railway systems (in P-space) [38], while power-law degree distributions have been observed in Japanese systems (in L-space) [42], Chinese systems (in both L- and P-space [14, 43–44]) and Indian [45] railway systems. In addition, a similar power-law-like property has also been observed in airline networks, which are also important PTSs for intercity travel [21].…”

Section: Resultsmentioning

confidence: 99%

Hierarchical structure in the world’s largest high-speed rail network

Wei¹,

Teng²,

Li³

et al. 2019

PLoS ONE

View full text Add to dashboard Cite

Presently, China has the largest high-speed rail (HSR) system in the world. However, our understanding of the network structure of the world’s largest HSR system remains largely incomplete due to the limited data available. In this study, a publicly available data source, namely, information from a ticketing website, was used to collect an exhaustive dataset on the stations and routes within the Chinese HSR system. The dataset included all 704 HSR stations that had been built as of June, 2016. A classical set of frequently used metrics based on complex network theory were analyzed, including degree centrality, betweenness centrality, and closeness centrality. The frequency distributions of all three metrics demonstrated highly consistent bimodal-like patterns, suggesting that the Chinese HSR network consists of two distinct regimes. The results indicate that the Chinese HSR system has a hierarchical structure, rather than a scale-free structure as has been commonly observed. To the best of our knowledge, such a network structure has not been found in other railway systems, or in transportation systems in general. Follow-up studies are needed to reveal the formation mechanisms of this hierarchical network structure.

show abstract

“…The definition implies that E glob is ranging between 0 and 1 and E glob = 1 means target network matches with idealized network. Furthermore, tanking into account of the effect of demand, The authors introduce new index ED glob as demand weighted efficiency [2].…”

Section: Measurementioning

confidence: 99%

Characteristic of Passenger's Route Selection and Generation of Public Transport Network

Majima

Takadama

Watanabe³

et al. 2015

SICE Journal of Control, Measurement, and System Integration

Self Cite

View full text Add to dashboard Cite

: Scheduled liner service is a proper system for mass transportation and it is employed by wide range of transportation modes, such as railway, airline, maritime container shipping and bus. To get more customers, providers of the liner services are required to organize effective routes and networks of the service incorporating the characteristic of the passenger's route selection. This paper tackles to the problem of generating Public Transit Network as one of scheduled liner service. The method generating PTN is based on Multi Agent System that incorporates the characteristic of passenger's route selection. And it is also reported that the developed method successfully output best solution for a benchmark problem.

show abstract

Analysis on Transport Networks of Railway, Subway and Waterbus in Japan

Cited by 11 publications

References 10 publications

Complex Network Analysis of Pakistan Railways

Complex Network Analysis of Pakistan Railways

Hierarchical structure in the world’s largest high-speed rail network

Characteristic of Passenger's Route Selection and Generation of Public Transport Network

Contact Info

Product

Resources

About

Analysis on Transport Networks of Railway, Subway and Waterbus in Japan

Cited by 11 publications

References 10 publications

Complex Network Analysis of Pakistan Railways

Complex Network Analysis of Pakistan Railways

Hierarchical structure in the world’s largest high-speed rail network

Characteristic of Passenger&#39;s Route Selection and Generation of Public Transport Network

Contact Info

Product

Resources

About

Characteristic of Passenger's Route Selection and Generation of Public Transport Network