Statistical and Reliability Analysis of the Iran Railway System as a Complex Network

The transportation networks analysis aims to investigate the system's structural characteristics and dynamical evolution to evaluate the transit services. In this regard, the topological characteristics of the Iran railway network have been studied and compared to two well-studied railway netwo...

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Main Authors: Melika Mosayyebi, Hadi Shakibian, Reza Azmi
Format: Article
Language:English
Published: University of science and culture 2022-01-01
Series:International Journal of Web Research
Subjects:
Online Access:https://ijwr.usc.ac.ir/article_154933_22135122dbf29699899d655fbf37d5c1.pdf
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author Melika Mosayyebi
Hadi Shakibian
Reza Azmi
author_facet Melika Mosayyebi
Hadi Shakibian
Reza Azmi
author_sort Melika Mosayyebi
collection DOAJ
description The transportation networks analysis aims to investigate the system's structural characteristics and dynamical evolution to evaluate the transit services. In this regard, the topological characteristics of the Iran railway network have been studied and compared to two well-studied railway networks, China and Spain. Also, the network vulnerability to station failures has been studied based on different attacks. Accordingly, in the first step of this work, the city stations have been extracted from Iran railway information to construct the network. Then, some structural properties, including the degree distribution, betweenness centrality, clustering coefficient, and distance distribution, have been analyzed for three networks. Finally, the network reliability has been evaluated using a random as well as adversarial attack. The structural analysis reveals that the Iran railway network would require some structural optimization to improve the economic benefits. Based on the vulnerability investigation, the network efficiency of the network will be dropped more quickly utilizing the maximum betweenness attack. In addition, as it were, little parts of the network seem to keep their usefulness as the estimate of the giant component is diminished exceptionally strongly when less than 20% of nodes are expelled from the network haphazardly or intentioned.
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spelling doaj-art-c2b2a4b9b3eb439c81b407525bb1fff22025-01-05T11:59:34ZengUniversity of science and cultureInternational Journal of Web Research2645-43432022-01-0151334110.22133/ijwr.2022.346545.1121Statistical and Reliability Analysis of the Iran Railway System as a Complex NetworkMelika Mosayyebi0Hadi Shakibian1 Reza Azmi2Department of Computer Engineering Faculty of Engineering Alzahra University, Tehran, IranDepartment of Computer Engineering Faculty of Engineering Alzahra University, Tehran, IranDepartment of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, IranThe transportation networks analysis aims to investigate the system's structural characteristics and dynamical evolution to evaluate the transit services. In this regard, the topological characteristics of the Iran railway network have been studied and compared to two well-studied railway networks, China and Spain. Also, the network vulnerability to station failures has been studied based on different attacks. Accordingly, in the first step of this work, the city stations have been extracted from Iran railway information to construct the network. Then, some structural properties, including the degree distribution, betweenness centrality, clustering coefficient, and distance distribution, have been analyzed for three networks. Finally, the network reliability has been evaluated using a random as well as adversarial attack. The structural analysis reveals that the Iran railway network would require some structural optimization to improve the economic benefits. Based on the vulnerability investigation, the network efficiency of the network will be dropped more quickly utilizing the maximum betweenness attack. In addition, as it were, little parts of the network seem to keep their usefulness as the estimate of the giant component is diminished exceptionally strongly when less than 20% of nodes are expelled from the network haphazardly or intentioned.https://ijwr.usc.ac.ir/article_154933_22135122dbf29699899d655fbf37d5c1.pdftransportation systemsrailway networkcomplex network analysisvulnerability assessment
spellingShingle Melika Mosayyebi
Hadi Shakibian
Reza Azmi
Statistical and Reliability Analysis of the Iran Railway System as a Complex Network
International Journal of Web Research
transportation systems
railway network
complex network analysis
vulnerability assessment
title Statistical and Reliability Analysis of the Iran Railway System as a Complex Network
title_full Statistical and Reliability Analysis of the Iran Railway System as a Complex Network
title_fullStr Statistical and Reliability Analysis of the Iran Railway System as a Complex Network
title_full_unstemmed Statistical and Reliability Analysis of the Iran Railway System as a Complex Network
title_short Statistical and Reliability Analysis of the Iran Railway System as a Complex Network
title_sort statistical and reliability analysis of the iran railway system as a complex network
topic transportation systems
railway network
complex network analysis
vulnerability assessment
url https://ijwr.usc.ac.ir/article_154933_22135122dbf29699899d655fbf37d5c1.pdf
work_keys_str_mv AT melikamosayyebi statisticalandreliabilityanalysisoftheiranrailwaysystemasacomplexnetwork
AT hadishakibian statisticalandreliabilityanalysisoftheiranrailwaysystemasacomplexnetwork
AT rezaazmi statisticalandreliabilityanalysisoftheiranrailwaysystemasacomplexnetwork