Weighted complex network analysis of the Beijing subway system: Train and passenger flows

2017 ◽  
Vol 474 ◽  
pp. 213-223 ◽  
Author(s):  
Jia Feng ◽  
Xiamiao Li ◽  
Baohua Mao ◽  
Qi Xu ◽  
Yun Bai
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Complex Network Analysis ◽  
Subway System ◽  
Passenger Flows ◽  
Weighted Complex Network ◽  
Beijing Subway

scholarly journals Weighted Complex Network Analysis of the Different Patterns of Metro Traffic Flows on Weekday and Weekend

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Jia Feng ◽  
Xiamiao Li ◽  
Baohua Mao ◽  
Qi Xu ◽  
Yun Bai
Keyword(s):  
Network Analysis ◽  
Spatial Structure ◽  
Complex Network ◽  
Travel Demand ◽  
Size Distributions ◽  
Traffic Flows ◽  
Multilayer Model ◽  
Subway System ◽  
Weighted Complex Network ◽  
Beijing Subway

We present a multilayer model to characterize the weekday and weekend patterns in terms of the spatiotemporal flow size distributions in subway networks, based on trip data and operation timetables obtained from the Beijing Subway System. We also investigate the disparity of incoming and outgoing flows at a given station to describe the different spatial structure performance between transfer and nontransfer stations. In addition, we describe the essential interactions between PFN and TFN by defining an indicator, real load. By comparing with the two patterns on weekday and weekend, we found that the substantial trends have roughly the same form, with noticeable lower sizes of flows on weekend ascribed to the essential characteristics of travel demand.

scholarly journals Weighted Complex Network Analysis of Pakistan Highways

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Yasir Tariq Mohmand ◽  
Aihu Wang
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Public Transportation ◽  
Road Traffic ◽  
Practical Importance ◽  
Small World ◽  
Complex Network Analysis ◽  
The Road ◽  
Highway Network ◽  
Weighted Complex Network

The structure and properties of public transportation networks have great implications in urban planning, public policies, and infectious disease control. This study contributes a weighted complex network analysis of travel routes on the national highway network of Pakistan. The network is responsible for handling 75 percent of the road traffic yet is largely inadequate, poor, and unreliable. The highway network displays small world properties and is assortative in nature. Based on the betweenness centrality of the nodes, the most important cities are identified as this could help in identifying the potential congestion points in the network. Keeping in view the strategic location of Pakistan, such a study is of practical importance and could provide opportunities for policy makers to improve the performance of the highway network.

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