Loading…

Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods

Air route network (ARN) is the important carrier of air transport, and its robustness has important influence on the safety and stability of air transport. To analyze the robustness of ARN, in this paper, a topology potential relative entropy (TPRE) model is proposed, based on topology potential (TP...

Full description

Saved in:
Bibliographic Details
Published in:Journal of advanced transportation 2021, Vol.2021, p.1-11
Main Author: Ren, Guangjian
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c631t-2dcd8cdb9d32dd1280fdb1a4dad98e6c5f081d446d1b585a9f1ce7a55b39e743
cites cdi_FETCH-LOGICAL-c631t-2dcd8cdb9d32dd1280fdb1a4dad98e6c5f081d446d1b585a9f1ce7a55b39e743
container_end_page 11
container_issue
container_start_page 1
container_title Journal of advanced transportation
container_volume 2021
creator Ren, Guangjian
description Air route network (ARN) is the important carrier of air transport, and its robustness has important influence on the safety and stability of air transport. To analyze the robustness of ARN, in this paper, a topology potential relative entropy (TPRE) model is proposed, based on topology potential (TP) and relative entropy (RE) methods. Firstly, the TPRE model is established as the theoretical basis for the research. Secondly, an air route reduction network (ARRN) model is constructed according to real Chinese ARN. Besides, the basic topology features of ARRN are given by complex network theory. To prove the applicability, objectivity, and accuracy of the proposed method, attack strategies including random, degree, betweenness, closeness, eigenvector, and Bonacich are used to attack ARRN. Eventually, the performance of ARRN robustness is analyzed by network efficiency, size of giant component, and the proposed TPRE model. This conclusion has practical significance for optimizing ARN structure and improving airspace efficiency.
doi_str_mv 10.1155/2021/5527423
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_786c4a866a364be9ac9840a1c5e19e80</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A683579777</galeid><doaj_id>oai_doaj_org_article_786c4a866a364be9ac9840a1c5e19e80</doaj_id><sourcerecordid>A683579777</sourcerecordid><originalsourceid>FETCH-LOGICAL-c631t-2dcd8cdb9d32dd1280fdb1a4dad98e6c5f081d446d1b585a9f1ce7a55b39e743</originalsourceid><addsrcrecordid>eNqNkt9rFDEQxxdR8Ky--QcEfNRtN9kkmzyepWqh_uC492U2md3LuU3OJGu5_949r0jFIsc8DAyf-Qwk36J4TatzSoW4YBWjF0KwhrP6SbFgFWdlTbV4WiwqqptSNkw_L16ktK2qWgvNFwWsQjel7DElsvQw7pNLJPRk6SJZhSkj-YL5LsTv5D0ktCR4sg67MIZhT76FjD47GAl4S1Y4QnY_kVz5HMNuTz5j3gSbXhbPehgTvrrvZ8X6w9X68lN58_Xj9eXypjSyprlk1lhlbKdtzaylTFW97ShwC1YrlEb0laKWc2lpJ5QA3VODDQjR1RobXp8V10etDbBtd9HdQty3AVz7exDi0ELMzozYNkoaDkpKqCXvUIPRildAjUCqUVWz683RtYvhx4Qpt9swxfl1UsuE4ErXWtKZKo_UALPU-T7kCGZAjxHG4LF383gptVSKUilP5VUtGt00zcyfP8LPZfHWmUcPnLbw4MK7BwtzDtwhB84nN2xyGmBK6W__Kfi_dhNDShH7P79Cq_aQ1_aQ1_Y-rzP-9ohvnLdw5_5P_wIqb-ha</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2554893961</pqid></control><display><type>article</type><title>Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods</title><source>Publicly Available Content Database</source><source>ABI/INFORM Global</source><source>Wiley_OA刊</source><creator>Ren, Guangjian</creator><contributor>De Barros, Alexandre ; Alexandre De Barros</contributor><creatorcontrib>Ren, Guangjian ; De Barros, Alexandre ; Alexandre De Barros</creatorcontrib><description>Air route network (ARN) is the important carrier of air transport, and its robustness has important influence on the safety and stability of air transport. To analyze the robustness of ARN, in this paper, a topology potential relative entropy (TPRE) model is proposed, based on topology potential (TP) and relative entropy (RE) methods. Firstly, the TPRE model is established as the theoretical basis for the research. Secondly, an air route reduction network (ARRN) model is constructed according to real Chinese ARN. Besides, the basic topology features of ARRN are given by complex network theory. To prove the applicability, objectivity, and accuracy of the proposed method, attack strategies including random, degree, betweenness, closeness, eigenvector, and Bonacich are used to attack ARRN. Eventually, the performance of ARRN robustness is analyzed by network efficiency, size of giant component, and the proposed TPRE model. This conclusion has practical significance for optimizing ARN structure and improving airspace efficiency.</description><identifier>ISSN: 0197-6729</identifier><identifier>EISSN: 2042-3195</identifier><identifier>DOI: 10.1155/2021/5527423</identifier><language>eng</language><publisher>London: Hindawi</publisher><subject>Air transportation ; Air transportation industry ; Aircraft ; Aircraft accidents &amp; safety ; Airlines ; Airports ; Alliances ; Connectivity ; Eigenvectors ; Entropy ; Literature reviews ; Robustness ; Stability analysis ; Topology</subject><ispartof>Journal of advanced transportation, 2021, Vol.2021, p.1-11</ispartof><rights>Copyright © 2021 Guangjian Ren.</rights><rights>COPYRIGHT 2021 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2021 Guangjian Ren. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c631t-2dcd8cdb9d32dd1280fdb1a4dad98e6c5f081d446d1b585a9f1ce7a55b39e743</citedby><cites>FETCH-LOGICAL-c631t-2dcd8cdb9d32dd1280fdb1a4dad98e6c5f081d446d1b585a9f1ce7a55b39e743</cites><orcidid>0000-0003-2235-7484</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2554893961/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2554893961?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,4024,11688,25753,27923,27924,27925,36060,37012,44363,44590,74895,75126</link.rule.ids></links><search><contributor>De Barros, Alexandre</contributor><contributor>Alexandre De Barros</contributor><creatorcontrib>Ren, Guangjian</creatorcontrib><title>Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods</title><title>Journal of advanced transportation</title><description>Air route network (ARN) is the important carrier of air transport, and its robustness has important influence on the safety and stability of air transport. To analyze the robustness of ARN, in this paper, a topology potential relative entropy (TPRE) model is proposed, based on topology potential (TP) and relative entropy (RE) methods. Firstly, the TPRE model is established as the theoretical basis for the research. Secondly, an air route reduction network (ARRN) model is constructed according to real Chinese ARN. Besides, the basic topology features of ARRN are given by complex network theory. To prove the applicability, objectivity, and accuracy of the proposed method, attack strategies including random, degree, betweenness, closeness, eigenvector, and Bonacich are used to attack ARRN. Eventually, the performance of ARRN robustness is analyzed by network efficiency, size of giant component, and the proposed TPRE model. This conclusion has practical significance for optimizing ARN structure and improving airspace efficiency.</description><subject>Air transportation</subject><subject>Air transportation industry</subject><subject>Aircraft</subject><subject>Aircraft accidents &amp; safety</subject><subject>Airlines</subject><subject>Airports</subject><subject>Alliances</subject><subject>Connectivity</subject><subject>Eigenvectors</subject><subject>Entropy</subject><subject>Literature reviews</subject><subject>Robustness</subject><subject>Stability analysis</subject><subject>Topology</subject><issn>0197-6729</issn><issn>2042-3195</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkt9rFDEQxxdR8Ky--QcEfNRtN9kkmzyepWqh_uC492U2md3LuU3OJGu5_949r0jFIsc8DAyf-Qwk36J4TatzSoW4YBWjF0KwhrP6SbFgFWdlTbV4WiwqqptSNkw_L16ktK2qWgvNFwWsQjel7DElsvQw7pNLJPRk6SJZhSkj-YL5LsTv5D0ktCR4sg67MIZhT76FjD47GAl4S1Y4QnY_kVz5HMNuTz5j3gSbXhbPehgTvrrvZ8X6w9X68lN58_Xj9eXypjSyprlk1lhlbKdtzaylTFW97ShwC1YrlEb0laKWc2lpJ5QA3VODDQjR1RobXp8V10etDbBtd9HdQty3AVz7exDi0ELMzozYNkoaDkpKqCXvUIPRildAjUCqUVWz683RtYvhx4Qpt9swxfl1UsuE4ErXWtKZKo_UALPU-T7kCGZAjxHG4LF383gptVSKUilP5VUtGt00zcyfP8LPZfHWmUcPnLbw4MK7BwtzDtwhB84nN2xyGmBK6W__Kfi_dhNDShH7P79Cq_aQ1_aQ1_Y-rzP-9ohvnLdw5_5P_wIqb-ha</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Ren, Guangjian</creator><general>Hindawi</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><general>Hindawi-Wiley</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>3V.</scope><scope>7ST</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2235-7484</orcidid></search><sort><creationdate>2021</creationdate><title>Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods</title><author>Ren, Guangjian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c631t-2dcd8cdb9d32dd1280fdb1a4dad98e6c5f081d446d1b585a9f1ce7a55b39e743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air transportation</topic><topic>Air transportation industry</topic><topic>Aircraft</topic><topic>Aircraft accidents &amp; safety</topic><topic>Airlines</topic><topic>Airports</topic><topic>Alliances</topic><topic>Connectivity</topic><topic>Eigenvectors</topic><topic>Entropy</topic><topic>Literature reviews</topic><topic>Robustness</topic><topic>Stability analysis</topic><topic>Topology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ren, Guangjian</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of advanced transportation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ren, Guangjian</au><au>De Barros, Alexandre</au><au>Alexandre De Barros</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods</atitle><jtitle>Journal of advanced transportation</jtitle><date>2021</date><risdate>2021</risdate><volume>2021</volume><spage>1</spage><epage>11</epage><pages>1-11</pages><issn>0197-6729</issn><eissn>2042-3195</eissn><abstract>Air route network (ARN) is the important carrier of air transport, and its robustness has important influence on the safety and stability of air transport. To analyze the robustness of ARN, in this paper, a topology potential relative entropy (TPRE) model is proposed, based on topology potential (TP) and relative entropy (RE) methods. Firstly, the TPRE model is established as the theoretical basis for the research. Secondly, an air route reduction network (ARRN) model is constructed according to real Chinese ARN. Besides, the basic topology features of ARRN are given by complex network theory. To prove the applicability, objectivity, and accuracy of the proposed method, attack strategies including random, degree, betweenness, closeness, eigenvector, and Bonacich are used to attack ARRN. Eventually, the performance of ARRN robustness is analyzed by network efficiency, size of giant component, and the proposed TPRE model. This conclusion has practical significance for optimizing ARN structure and improving airspace efficiency.</abstract><cop>London</cop><pub>Hindawi</pub><doi>10.1155/2021/5527423</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-2235-7484</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0197-6729
ispartof Journal of advanced transportation, 2021, Vol.2021, p.1-11
issn 0197-6729
2042-3195
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_786c4a866a364be9ac9840a1c5e19e80
source Publicly Available Content Database; ABI/INFORM Global; Wiley_OA刊
subjects Air transportation
Air transportation industry
Aircraft
Aircraft accidents & safety
Airlines
Airports
Alliances
Connectivity
Eigenvectors
Entropy
Literature reviews
Robustness
Stability analysis
Topology
title Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T13%3A47%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robustness%20Analysis%20of%20Air%20Route%20Network%20Based%20on%20Topology%20Potential%20and%20Relative%20Entropy%20Methods&rft.jtitle=Journal%20of%20advanced%20transportation&rft.au=Ren,%20Guangjian&rft.date=2021&rft.volume=2021&rft.spage=1&rft.epage=11&rft.pages=1-11&rft.issn=0197-6729&rft.eissn=2042-3195&rft_id=info:doi/10.1155/2021/5527423&rft_dat=%3Cgale_doaj_%3EA683579777%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c631t-2dcd8cdb9d32dd1280fdb1a4dad98e6c5f081d446d1b585a9f1ce7a55b39e743%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2554893961&rft_id=info:pmid/&rft_galeid=A683579777&rfr_iscdi=true