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.

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.

scholarly journals Classification of Literary Works: Fractality and Complexity of the Narrative, Essay, and Research Article

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 904
Author(s):  
Aldo Ramirez-Arellano
Keyword(s):  
Complex Network ◽  
Path Length ◽  
Research Topic ◽  
Clustering Coefficient ◽  
Node Degree ◽  
Original Text ◽  
Literary Works ◽  
Research Article ◽  
A Current

A complex network as an abstraction of a language system has attracted much attention during the last decade. Linguistic typological research using quantitative measures is a current research topic based on the complex network approach. This research aims at showing the node degree, betweenness, shortest path length, clustering coefficient, and nearest neighbourhoods’ degree, as well as more complex measures such as: the fractal dimension, the complexity of a given network, the Area Under Box-covering, and the Area Under the Robustness Curve. The literary works of Mexican writers were classify according to their genre. Precisely 87% of the full word co-occurrence networks were classified as a fractal. Also, empirical evidence is presented that supports the conjecture that lemmatisation of the original text is a renormalisation process of the networks that preserve their fractal property and reveal stylistic attributes by genre.

Analysis of the Public Transport Network of Shenyang as a Complex Network

2013 ◽  
Vol 433-435 ◽  
pp. 1370-1373
Author(s):  
Dan Wang ◽  
Xin Li
Keyword(s):  
Complex Network ◽  
Public Transport ◽  
Public Transportation ◽  
Small World ◽  
Transport Network ◽  
Transport Infrastructure ◽  
Economic Growth And Development ◽  
The Public ◽  
Public Transport System ◽  
Transportation Routes

The public transport infrastructure of a city is one of the most important indicators of its economic growth and development. Here we study the public transport network of Shenyang, which represents Chinese domestic civil public transport infrastructure, as a complex network. We find that the public transport system of Shenyang, a network of public transportation routes connected by bus links, is a small-world network characterized by a Poisson degree distribution. We investigate the public transport network as a complex network to explore its topological properties. Simulation results show that the public transport network exhibits small world behavior.

Research on the Structure of Peer-to-Peer Overlay Based on the Complex Network Theory

2012 ◽  
Vol 263-266 ◽  
pp. 1096-1099
Author(s):  
Zhi Yong Jiang
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Degree Distribution ◽  
Path Length ◽  
Small World ◽  
Peer To Peer ◽  
Clustering Coefficient ◽  
Power Law Distribution ◽  
Complex Network Theory ◽  
The Mean

Relationship between nodes in peer-to-peer overlay, currently becomes a hot topic in the field of complex network. In this paper a model of peer-to-peer overlay was purposed. And then the paper focused on figuring out the mean-shortest path length (MSPL), clustering coefficient (CC) and the degree of every node which allowed us to discover the degree distribution. The results show that the degree distribution function follows approximately power law distribution and the network possesses notable clustering and small-world properties.

scholarly journals Complex network theory, streamflow, and hydrometric monitoring system design

2015 ◽  
Vol 19 (7) ◽  
pp. 3301-3318 ◽  
Author(s):  
M. J. Halverson ◽  
S. W. Fleming
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Small World ◽  
Detection Algorithm ◽  
Clustering Coefficient ◽  
Network Stability ◽  
Meteorological Forcing ◽  
Complex Network Theory ◽  
Scale Free ◽  
Seasonal Flow

Abstract. Network theory is applied to an array of streamflow gauges located in the Coast Mountains of British Columbia (BC) and Yukon, Canada. The goal of the analysis is to assess whether insights from this branch of mathematical graph theory can be meaningfully applied to hydrometric data, and, more specifically, whether it may help guide decisions concerning stream gauge placement so that the full complexity of the regional hydrology is efficiently captured. The streamflow data, when represented as a complex network, have a global clustering coefficient and average shortest path length consistent with small-world networks, which are a class of stable and efficient networks common in nature, but the observed degree distribution did not clearly indicate a scale-free network. Stability helps ensure that the network is robust to the loss of nodes; in the context of a streamflow network, stability is interpreted as insensitivity to station removal at random. Community structure is also evident in the streamflow network. A network theoretic community detection algorithm identified separate communities, each of which appears to be defined by the combination of its median seasonal flow regime (pluvial, nival, hybrid, or glacial, which in this region in turn mainly reflects basin elevation) and geographic proximity to other communities (reflecting shared or different daily meteorological forcing). Furthermore, betweenness analyses suggest a handful of key stations which serve as bridges between communities and might be highly valued. We propose that an idealized sampling network should sample high-betweenness stations, small-membership communities which are by definition rare or undersampled relative to other communities, and index stations having large numbers of intracommunity links, while retaining some degree of redundancy to maintain network robustness.

Discussion on the Land Using Mode of Conventional Public Transit Oriented City

2012 ◽  
Vol 209-211 ◽  
pp. 645-649
Author(s):  
Liang Guo ◽  
Hui He ◽  
Ling Ling Chen
Keyword(s):  
Land Use ◽  
Transport System ◽  
Public Transport ◽  
Public Transit ◽  
Transit System ◽  
Public Transport System ◽  
Urban Public Transport ◽  
Land Using

For the contradiction between the current urban public transport system and land use status in many small and medium-sized cities, the purpose of the paper is to present the counterplan framework of the land using mode and to provide mechanism and ensuring for the land using mode that matches the conventional public transit system.

scholarly journals DETERMINATION OF THE THROUGHPUT CAPACITY OF STOP POINTS OF URBAN PUBLIC TRANSPORT

2020 ◽  
Vol 17 (2) ◽  
pp. 248-261
Author(s):  
A. I. Fadeev ◽  
E. V. Fomin ◽  
S. Alhusseini
Keyword(s):  
Mathematical Models ◽  
Transport System ◽  
Public Transport ◽  
Throughput Capacity ◽  
Public Transport System ◽  
Simulation Based ◽  
Urban Public Transport ◽  
Random Nature ◽  
Stop Point

Introduction. One of the most important parameters of the transport system is the capacity of line, which in urban public transport system is usually determined by the stop points throughput capacity. When determining the throughput capacity of stop points, it is necessary to consider the random nature of the transport flows at the stop and the process of boarding and alighting passengers. In this work, the stop point is considered as a multi-channel single-phase queuing system (QS). On this basis, an approach to determining the throughput capacity of stop points in urban passenger transport is proposed and justified.Materials and methods. Two mathematical models of a stop point as QS are considered: analytical and simulation. Based on the obtained analysis results from these models, recommendations are offered for calculating the actual throughput capacity of a stop point.Results. In this article, as example a specific stop points are taken, to evaluate the performance of the proposed mathematical models and formulate recommendations to determine its throughput capacity.Discussion and conclusion. The proposed procedure for determining the stop points throughput capacity, consisting of identifying critical stop points with the highest passengers traffic, determining the service process parameters of fleet, and calculating the probability of queue occurrence, allows to set the maximum traffic intensity for the lines of urban public transport.Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.

scholarly journals RESEARCH OF THE FACTORS INFLUENCING THE OPERATIONAL PERFORMANCE OF URBAN PUBLIC TRANSPORT

2021 ◽  
pp. 45-53
Author(s):  
Siarhei Skirkouski ◽  
Uladzimir Sedziukevich ◽  
Volodymyr Karpenko ◽  
Stanislav Svichynskyi
Keyword(s):  
Public Transport ◽  
Target Function ◽  
Enterprise Management ◽  
The Public ◽  
Public Transport System ◽  
Passenger Transportation ◽  
Factors Influencing ◽  
Universal Approach ◽  
Urban Public Transport ◽  
Operation Results

Problem. Currently, there is no universal approach to improve the efficiency of the urban public transport operation. Different methods are used during the estimation of public transport operation cost and the quality of services for the passengers. It makes actual the development of the target function which will allow assessing the carrier cost and passenger expenditures, and therefore find the balance between the interests of these parties of the transportation process. Thus, the alternative to the existing approaches can be created and then used to organize passenger transportation and improve transport enterprise management. Development of this alternative is the actual task as the new target function will open the horizon to improve the methods of organization of public transport operation. Goal. The new approach to optimize the costs of public transport operation needs to be tested for the appropriateness for the planning of passenger service in cities. Methodology. The developed target function was derived as the result of the analysis of the economic and social factors influencing the efficiency of the urban public transport operation. Results. The use of the developed target function allows finding the optimal values of cost components for the passenger and the carrier. Originality. The obtained function to optimize the performance of public transport allows reducing the costs of suboptimal use of vehicles capacity, suboptimal allocation of the vehicles to the routes and the irrational organization of vehicles operating on the routes. Practical value. The results of the research clarify the controlled and uncontrolled parameters of the public transport system operation.

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