{"id":"https://openalex.org/W2709868258","doi":"https://doi.org/10.1177/0037549717715107","title":"A high-fidelity three-dimensional simulation method for evaluating passenger flow organization and facility layout at metro stations","display_name":"A high-fidelity three-dimensional simulation method for evaluating passenger flow organization and facility layout at metro stations","publication_year":2017,"publication_date":"2017-06-19","ids":{"openalex":"https://openalex.org/W2709868258","doi":"https://doi.org/10.1177/0037549717715107","mag":"2709868258"},"language":"en","primary_location":{"id":"doi:10.1177/0037549717715107","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549717715107","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-article"},"type":"article","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/A5108636301","display_name":"Mingwei Hu","orcid":"https://orcid.org/0009-0007-1286-5385"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingwei Hu","raw_affiliation_strings":["Department of Transport Engineering, and also with Shenzhen Key Laboratory of Urban Rail Transit, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Department of Transport Engineering, and also with Shenzhen Key Laboratory of Urban Rail Transit, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108636301"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":2.5413,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88401182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"93","issue":"10","first_page":"841","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9937999844551086,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6821820735931396},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6458936929702759},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6316999197006226},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5592108368873596},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.49971723556518555},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.41023704409599304},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3320635259151459},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18840867280960083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17551875114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821820735931396},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6458936929702759},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6316999197006226},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5592108368873596},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.49971723556518555},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.41023704409599304},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3320635259151459},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18840867280960083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17551875114440918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0037549717715107","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549717715107","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W612019082","https://openalex.org/W1514015626","https://openalex.org/W1538217831","https://openalex.org/W1888172398","https://openalex.org/W1967731840","https://openalex.org/W1978817656","https://openalex.org/W1991635657","https://openalex.org/W2000442623","https://openalex.org/W2067078364","https://openalex.org/W2071204521","https://openalex.org/W2087730005","https://openalex.org/W2129765287","https://openalex.org/W2132505539","https://openalex.org/W2167052694","https://openalex.org/W2270082749","https://openalex.org/W2502026285"],"related_works":["https://openalex.org/W2973594161","https://openalex.org/W566791342","https://openalex.org/W3136214354","https://openalex.org/W3172487415","https://openalex.org/W608736979","https://openalex.org/W631954924","https://openalex.org/W2148933895","https://openalex.org/W2363929919","https://openalex.org/W2369648859","https://openalex.org/W4306765721"],"abstract_inverted_index":{"This":[0],"research":[1],"proposes":[2],"a":[3,55],"high-fidelity":[4],"simulation":[5,88],"method":[6],"that":[7],"integrates":[8],"the":[9,22,60,74,78,99],"strengths":[10],"of":[11,24,41,62,77,93,96,112,128,143],"microscopic":[12],"pedestrian":[13,87,113],"modeling":[14],"and":[15,28,66,106,150],"three-dimensional":[16],"(3D)":[17],"virtual":[18],"reality":[19],"(VR)":[20],"for":[21,59,153],"evaluation":[23],"passenger":[25,63,145],"flow":[26,35,64,146],"organization":[27,65,147],"facility":[29,70,155],"layout":[30,156],"at":[31,98],"metro":[32,131],"stations.":[33],"Passenger":[34],"movements,":[36],"with":[37,69],"detailed":[38],"spatial\u2013temporal":[39],"information":[40],"each":[42],"agent,":[43],"are":[44,51],"modeled":[45],"using":[46,89,115],"agent-based":[47],"micro-simulation.":[48],"Simulation":[49],"results":[50],"then":[52],"imported":[53],"into":[54],"3D":[56,110],"VR":[57],"environment":[58],"assessment":[61],"its":[67,118],"interactions":[68],"layout.":[71],"Focusing":[72],"on":[73],"technical":[75],"implementation":[76],"method,":[79],"we":[80],"discuss":[81],"in":[82,103,133],"detail":[83],"(1)":[84],"finely":[85],"resolved":[86],"AnyLogic;":[90],"(2)":[91],"bookkeeping":[92],"spatial":[94],"positions":[95],"agents":[97],"specific":[100],"temporal":[101],"intervals":[102],"XML":[104],"format;":[105],"(3)":[107],"interactive":[108],"photo-realistic":[109],"visualization":[111],"movements":[114],"UC-win/Road":[116],"through":[117,148],"micro-simulation":[119],"player":[120],"plug-in,":[121],"OpenMicroSim.":[122],"Successfully":[123],"applied":[124],"to":[125,140],"case":[126],"studies":[127],"three":[129],"major":[130],"stations":[132],"Shenzhen":[134],"China,":[135],"this":[136],"methodology":[137],"is":[138],"demonstrated":[139],"be":[141],"capable":[142],"evaluating":[144],"visual":[149],"quantitative":[151],"analyses":[152],"improving":[154],"design.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}