{"id":"https://openalex.org/W4389315664","doi":"https://doi.org/10.1109/ickii58656.2023.10332793","title":"Topological Characteristics and Robustness of Bus Stop Network in Hefei City","display_name":"Topological Characteristics and Robustness of Bus Stop Network in Hefei City","publication_year":2023,"publication_date":"2023-08-11","ids":{"openalex":"https://openalex.org/W4389315664","doi":"https://doi.org/10.1109/ickii58656.2023.10332793"},"language":"en","primary_location":{"id":"doi:10.1109/ickii58656.2023.10332793","doi":"https://doi.org/10.1109/ickii58656.2023.10332793","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ickii58656.2023.10332793","pdf_url":null,"source":{"id":"https://openalex.org/S4306498242","display_name":"IEEE International Conference on Knowledge Innovation and Invention (ICKII)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100458193","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0002-6528-1427","observed_orcids":["https://orcid.org/0000-0002-6528-1427","https://orcid.org/0009-0006-7240-5228"]},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Zhang","raw_affiliation_strings":["Hefei University,College of Artificial Intelligence and Big Data,Hefei,China,230601"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University,College of Artificial Intelligence and Big Data,Hefei,China,230601","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081190076","display_name":"Xinxin Sun","orcid":"https://orcid.org/0000-0002-9963-2109","observed_orcids":["https://orcid.org/0000-0002-9963-2109"]},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Sun","raw_affiliation_strings":["Hefei University,College of Artificial Intelligence and Big Data,Hefei,China,230601"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University,College of Artificial Intelligence and Big Data,Hefei,China,230601","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084350585","display_name":"Guanhong Zhang","orcid":"https://orcid.org/0000-0001-6592-6179","observed_orcids":["https://orcid.org/0000-0001-6592-6179"]},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhong Zhang","raw_affiliation_strings":["Hefei University,College of Artificial Intelligence and Big Data,Hefei,China,230601"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University,College of Artificial Intelligence and Big Data,Hefei,China,230601","institution_ids":["https://openalex.org/I39774598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39774598"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"127","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.00989999994635582,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.006399999838322401,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/network-topology","display_name":"network topology","score":0.8360000252723694},{"id":"https://openalex.org/keywords/complex-network-theory","display_name":"complex network theory","score":0.753000020980835},{"id":"https://openalex.org/keywords/scale-free-networks","display_name":"scale-free networks","score":0.8460000157356262},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"degree distribution","score":0.8980000019073486},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"clustering coefficient","score":0.871999979019165},{"id":"https://openalex.org/keywords/global-efficiency","display_name":"global efficiency","score":0.949999988079071}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8486344814300537},{"id":"https://openalex.org/C54609922","wikidata":"https://www.wikidata.org/wiki/Q748329","display_name":"Bus network","level":4,"score":0.7754753232002258},{"id":"https://openalex.org/C91886571","wikidata":"https://www.wikidata.org/wiki/Q432520","display_name":"Average path length","level":4,"score":0.6859474182128906},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.6051239967346191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659505724906921},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5515241622924805},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.456808477640152},{"id":"https://openalex.org/C202015219","wikidata":"https://www.wikidata.org/wiki/Q6664300","display_name":"Local bus","level":4,"score":0.4551536738872528},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4404946565628052},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.43656644225120544},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31380099058151245},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.276324987411499},{"id":"https://openalex.org/C203315745","wikidata":"https://www.wikidata.org/wiki/Q2235486","display_name":"Control bus","level":3,"score":0.2288106381893158},{"id":"https://openalex.org/C136321198","wikidata":"https://www.wikidata.org/wiki/Q2377054","display_name":"System bus","level":2,"score":0.15733030438423157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.157026469707489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13081094622612},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1170869767665863},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.08661863207817078},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06337714195251465},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.06211075186729431},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ickii58656.2023.10332793","doi":"https://doi.org/10.1109/ickii58656.2023.10332793","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ickii58656.2023.10332793","pdf_url":null,"source":{"id":"https://openalex.org/S4306498242","display_name":"IEEE International Conference on Knowledge Innovation and Invention (ICKII)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8787999749183655,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1969383134","https://openalex.org/W1972668007","https://openalex.org/W2008620264","https://openalex.org/W2071563060","https://openalex.org/W2112090702","https://openalex.org/W2113304298","https://openalex.org/W4385428706"],"related_works":["https://openalex.org/W4312932682","https://openalex.org/W2981007641","https://openalex.org/W3011705389","https://openalex.org/W2272443684","https://openalex.org/W4313413710","https://openalex.org/W3003831080","https://openalex.org/W4391844964","https://openalex.org/W7165398599","https://openalex.org/W2358505920","https://openalex.org/W2375880819"],"abstract_inverted_index":{"For":[0,23],"the":[1,9,24,38,43,55,61,65,70,81,89,97,102,112,120,134,137],"analysis":[2,14],"of":[3,8,64,73,80,92,96,104,114,136],"topological":[4],"characteristics":[5],"and":[6,54,60,76,133],"robustness":[7,95,135],"bus":[10,26,31,82,98,105,122,138],"network,":[11,27],"a":[12,30,125],"statistical":[13],"method":[15,40],"based":[16,36,41,100],"on":[17,37,42,101],"complex":[18,44],"network":[19,33,45,99,106,123,129,139],"theory":[20],"was":[21,67,108,124,140],"proposed.":[22],"Hefei":[25,121],"we":[28],"constructed":[29],"station":[32],"topology":[34,48],"model":[35,66],"Space-L":[39],"theory.":[46],"Network":[47],"features":[49],"such":[50],"as":[51,69,88],"degree":[52],"distribution":[53],"shortest":[56],"path":[57],"were":[58,86],"determined,":[59],"clustering":[62],"coefficient":[63],"calculated":[68],"relative":[71],"value":[72],"global":[74],"efficiency":[75],"maximum":[77],"connectivity":[78],"rate":[79],"network.":[83],"The":[84,94,116],"coefficients":[85],"used":[87],"evaluation":[90],"indexes":[91],"robustness.":[93],"deletion":[103],"stations":[107],"simulated":[109],"according":[110],"to":[111],"number":[113],"degrees.":[115],"results":[117],"showed":[118],"that":[119],"small":[126],"but":[127],"scale-free":[128],"in":[130],"Space":[131],"L,":[132],"improved.":[141]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2023-12-05T00:00:00"}
