scholarly journals Analysis of Topologic Properties and Road Structure of Tangshan Bus Traffic Network

CONVERTER ◽  
2021 ◽  
pp. 46-59
Author(s):  
Yue Zhang, Dengsui Wang, Ziheng Zhang
Keyword(s):  
Network Model ◽  
Average Distance ◽  
Route Planning ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Complex Network Theory ◽  
The Road ◽  
Planning And Design ◽  
Bus Network ◽  
Bus Route Planning

Tangshan is a city rebuilt after the earthquake. The urban construction was replanned, which directly designed the road structure. Therefore, this paper analyzes Tangshan bus network from two aspects of topologic properties and road structure. After analyzing the data of Tangshan bus network, this paper proposes an analysis method based on complex network theory for Tangshan bus network. This paper first established Tangshan bus line Space-L network model, and obtained node degree, node strength, bearing pressure, and clustering coefficient in the model. And then established transfer Space-P network model, with topologic properties, such as node degree, average distance, closeness centrality and betweenness centrality obtained. In order to distinguish different districts precisely, the bus stops in different districts are marked with different colors in Tangshan bus model figure. Finally, spatial bus road structure is studied for Tangshan including Fengnan district. And according to the analysis results, some feasible suggestions are given. The results of this study may provide reference and guidance for researchers on Tangshan bus route planning and design

Network Characteristics Analysis of the Xinjiang Regional Logistic Based on Complex Networks

2012 ◽  
Vol 522 ◽  
pp. 804-809 ◽  
Author(s):  
Rui Yan Liu ◽  
Yi Ping Yuan ◽  
Shu Guang Tian ◽  
Xiao Juan Li
Keyword(s):  
Mineral Resources ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Logistics System ◽  
Complex Network Theory ◽  
Logistics Network ◽  
Network Characteristics ◽  
Regional Logistics ◽  
Characteristics Analysis ◽  
Straight Line Distance

Reasonable logistics system plays a fundamental role in the process of regional economic development. With the development of Xinjiang's energy resources conversion strategy is ceaseless and thorough, as the country imported energy and scarce mineral resources international channel, Xinjiang internal and external logistics hub action are highlighted with each passing day. In this paper the complex network theory is applied to the Xinjiang regional logistics network, important cities, ports, warehousing point for a node to connect these nodes highway straight-line distance of the railway side, constructed the Xinjiang regional characteristics of the logistics network model. Select the node degree distribution, betweenness, average path length, clustering coefficient as a measure, static statistical properties of the network are analyzed. Provide basic data for the Xinjiang regional logistics network.

scholarly journals Establishment and Analysis of the Supernetwork Model for Nanjing Metro Transportation System

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yu Wei ◽  
Sun Ning
Keyword(s):  
Complex Network ◽  
Public Transport ◽  
Network Performance ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Network Clustering ◽  
Analysis Method ◽  
Complex Network Theory ◽  
Public Transport System ◽  
Urban Public Transport

In recent years, many researchers have applied complex network theory to urban public transport network to construct complex network and analyze its network performance. The original analysis method generally uses the Space L and Space R model to establish a simple link between public sites but ignores the organic link between the overall network system and the line subsystem. As an important part of urban public transport system, subway plays an important role in alleviating traffic pressure. In this paper, a supernetwork model of Nanjing metro network is established by using the supernetwork method. Three parameters, node-hyperedge degree, hyperedge-node degree, and hyperedge degree, are proposed to describe the model. The model is compared with the traditional Space L and Space P models. The study on the supernetwork model of Nanjing metro complex network shows that the network density, network centrality, and network clustering coefficient are large, and the average network distance is small, which meets the requirements of traffic planning and design. In this study, the subway line is considered as a subsystem and further simplified as a node, so that the complex network analysis method can be applied to the new supernetwork model, expanding the thinking of complex network research.

scholarly journals Topological Characteristics and Vulnerability Analysis of Rural Traffic Network

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Xia Zhu ◽  
Weidong Song ◽  
Lin Gao
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Network Models ◽  
Mapping Method ◽  
Traffic Network ◽  
Complex Network Theory ◽  
The Road ◽  
Topological Features ◽  
Attack Patterns ◽  
Road Mapping

Rural traffic network (RTN), as a complex network, plays a significant role in the field of resisting natural disasters and emergencies. In this paper, we analyze the vulnerability of RTN via three traffic network models (i.e., No-power Traffic Network Model (NTNM), Distance Weight Traffic Network Model (DWTNM), and Road Level Weight Traffic Network Model (RLWTNM)). Firstly, based on the complex network theory, RTN is constructed by using road mapping method, according to the topological features. Secondly, Random Attack (RA) and Deliberate Attack (DA) strategies are used to analyze network vulnerability in three rural traffic network models. By analyzing the attack tolerance of RTN under the condition of different attack patterns, we find that the road level weight traffic network has a good performance to represent the vulnerability of RTN.

Research on the Evolution of the Complex Network Theory Based on the International Coal Trade

2014 ◽  
Vol 672-674 ◽  
pp. 2173-2177
Author(s):  
Yang Yang He ◽  
Ling Wang
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Network Theory ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Degree Centrality ◽  
Trade Data ◽  
Complex Network Theory ◽  
The Difference ◽  
Coal Trade

According to the international coal trade data of the years from 1996 to 2011 published by UN COMTRADE (UNSD), it can be inferred that the data is mainly about international trade of raw coal and related coal products. By adopting the theory of complex network analysis, this paper calculates the complex network of international coal trade in the aspect of its density, node degree, centrality, point strength, clustering coefficient. Based on these properties, this paper further analyzes the evolution rule for international coal trade network of raw coal, coal briquettes and ovate coal over the last 16 years, as well as the difference between the pre-and after financial crisis.

Assessing transfer property and reliability of urban bus network based on complex network theory

2018 ◽  
Vol 29 (01) ◽  
pp. 1850004 ◽  
Author(s):  
Hui Zhang ◽  
Cheng-Xiang Zhuge ◽  
Xiang Zhao ◽  
Wen-Bo Song
Keyword(s):  
Betweenness Centrality ◽  
Failure Process ◽  
Clustering Coefficient ◽  
Normal Operation ◽  
Transfer Time ◽  
Transfer Property ◽  
Complex Network Theory ◽  
Urban Bus ◽  
Bus Network ◽  
Bus Networks

Transfer reliability has an important impact on the urban bus network. The proportion of zero and one transfer time is a key indicator to measure the connectivity of bus networks. However, it is hard to calculate the transfer time between nodes because of the complicated network structure. In this paper, the topological structures of urban bus network in Jinan are constructed by space L and space P. A method to calculate transfer times between stations has been proposed by reachable matrix under space P. The result shows that it is efficient to calculate the transfer time between nodes in large networks. In order to test the transfer reliability, a node failure process has been built according to degree, clustering coefficient and betweenness centrality under space L and space P. The results show that the deliberate attack by betweenness centrality under space P is more effective compared with other five attack modes. This research could provide a power tool to find hub stations in bus networks and give a help for traffic manager to guarantee the normal operation of urban bus systems.

scholarly journals The Fractional Preferential Attachment Scale-Free Network Model

Entropy ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 509
Author(s):  
Rafał Rak ◽  
Ewa Rak
Keyword(s):  
Network Model ◽  
Real World ◽  
Degree Distribution ◽  
Preferential Attachment ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Scale Free Network ◽  
Scale Free ◽  
Degree Correlation ◽  
Free Network

Many networks generated by nature have two generic properties: they are formed in the process of preferential attachment and they are scale-free. Considering these features, by interfering with mechanism of the preferential attachment, we propose a generalisation of the Barabási–Albert model—the ’Fractional Preferential Attachment’ (FPA) scale-free network model—that generates networks with time-independent degree distributions p ( k ) ∼ k − γ with degree exponent 2 < γ ≤ 3 (where γ = 3 corresponds to the typical value of the BA model). In the FPA model, the element controlling the network properties is the f parameter, where f ∈ ( 0 , 1 ⟩ . Depending on the different values of f parameter, we study the statistical properties of the numerically generated networks. We investigate the topological properties of FPA networks such as degree distribution, degree correlation (network assortativity), clustering coefficient, average node degree, network diameter, average shortest path length and features of fractality. We compare the obtained values with the results for various synthetic and real-world networks. It is found that, depending on f, the FPA model generates networks with parameters similar to the real-world networks. Furthermore, it is shown that f parameter has a significant impact on, among others, degree distribution and degree correlation of generated networks. Therefore, the FPA scale-free network model can be an interesting alternative to existing network models. In addition, it turns out that, regardless of the value of f, FPA networks are not fractal.

Road Inspection Scheduling Model Using Constraint Programming

2013 ◽  
Vol 357-360 ◽  
pp. 2720-2725
Author(s):  
Hsi Sung Wang ◽  
Shu Shun Liu
Keyword(s):  
Constraint Programming ◽  
Route Planning ◽  
Inspection Time ◽  
Time Consumption ◽  
The Road ◽  
Scheduling Model ◽  
Inspection Process ◽  
Road Inspection ◽  
Solution Mechanism ◽  
Inspection Scheduling

The research objective is to support the maintenance unit with route planning prior to performing road inspection, the model is based on VRP problem settings, and with the addition of compulsory road sections and allowing shortcuts through small pathways during the inspection to reduce time consumption. By employing Constraint Programming (CP) technology and optimization solution mechanism to construct inspection scheduling model, and the objective is to minimize time consumption of the road inspection. The province and county roads in Douliou city are chosen as examples for analysis, plans out best routes for inspection process, and also displays all the road sections passed by inspection vehicle. Thus this model can be used as reference to support the authorities to efficiently allocate resources for the inspection process, and achieve the objective as shorten the inspection time consumption.

scholarly journals Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory

2019 ◽  
Vol 11 (7) ◽  
pp. 2007 ◽  
Author(s):  
Guo-Ling Jia ◽  
Rong-Guo Ma ◽  
Zhi-Hua Hu
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Public Transportation ◽  
Path Length ◽  
Transportation Network ◽  
Average Path Length ◽  
Theory And Practice ◽  
Complex Network Theory ◽  
Public Transportation Network ◽  
Bus Network

Urban public transportation contributes greatly to sustainable urban development. An urban public transportation network is a complex system. It is meaningful for theory and practice to analyze the topological structure of an urban public transportation network and explore the spatial structure of an urban transportation network so as to mitigate and prevent traffic congestion and achieve sustainability. By examining the Xi’an bus network, the degree distribution, average path length, aggregation coefficient, and betweenness centrality of the bus station network were computed using models in complex network theory. The results show that the node degrees of the Xi’an bus network are unevenly distributed and present a polarization diagram with long average path length and high aggregation. A model based on betweenness and its solution method was developed to improve the public transportation network’s sustainability and discuss the possibility of optimizing the sustainability by network analyzing methods.

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