{"id":"https://openalex.org/W4399860805","doi":"https://doi.org/10.1145/3661725.3661789","title":"Length Estimation and Characteristics Study of Travel Chain for College Students Returning to Campus","display_name":"Length Estimation and Characteristics Study of Travel Chain for College Students Returning to Campus","publication_year":2024,"publication_date":"2024-04-12","ids":{"openalex":"https://openalex.org/W4399860805","doi":"https://doi.org/10.1145/3661725.3661789"},"language":"en","primary_location":{"id":"doi:10.1145/3661725.3661789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661725.3661789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computing Machine Learning and Data Science","raw_type":"proceedings-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/A5007276291","display_name":"W. Li","orcid":"https://orcid.org/0009-0000-2681-2056"},"institutions":[{"id":"https://openalex.org/I4210130035","display_name":"China Communications Construction Company (China)","ror":"https://ror.org/03q3een69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210130035"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhai Li","raw_affiliation_strings":["Gansu Road&amp;Bridge Feiyu Traffic Facility Co.,Ltd, China and \rGansu Highway Traffic Construction Group Co., Ltd, China"],"affiliations":[{"raw_affiliation_string":"Gansu Road&amp;Bridge Feiyu Traffic Facility Co.,Ltd, China and \rGansu Highway Traffic Construction Group Co., Ltd, China","institution_ids":["https://openalex.org/I4210130035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051718810","display_name":"Feng Wang","orcid":"https://orcid.org/0009-0001-2768-839X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["Gansu Road&amp;Bridge Feiyu Traffic Facility Co.,Ltd, China"],"affiliations":[{"raw_affiliation_string":"Gansu Road&amp;Bridge Feiyu Traffic Facility Co.,Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099295859","display_name":"Jinquan Hou","orcid":"https://orcid.org/0009-0004-1321-0768"},"institutions":[{"id":"https://openalex.org/I4210115177","display_name":"Jiangsu Yonggang Group (China)","ror":"https://ror.org/026w3f849","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210115177"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinquan Hou","raw_affiliation_strings":["Gansu New Lugang Technology Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Gansu New Lugang Technology Co., Ltd., China","institution_ids":["https://openalex.org/I4210115177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102724066","display_name":"Yongjia Wang","orcid":"https://orcid.org/0009-0009-5133-5971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongjia Wang","raw_affiliation_strings":["Zhao Bian (Shanghai) Technology Co., Ltd, China"],"affiliations":[{"raw_affiliation_string":"Zhao Bian (Shanghai) Technology Co., Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099295860","display_name":"Ruochen Hao","orcid":"https://orcid.org/0009-0009-1989-5098"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruochen Hao","raw_affiliation_strings":["Tongji University, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007276291"],"corresponding_institution_ids":["https://openalex.org/I4210130035"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06961372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9994999766349792,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9984999895095825,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.996999979019165,"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/travel-time","display_name":"Travel time","score":0.7008163928985596},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel behavior","score":0.6597702503204346},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6129562854766846},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5463798642158508},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.5109714269638062},{"id":"https://openalex.org/keywords/time-travel","display_name":"Time travel","score":0.4691055417060852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4547698497772217},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4290396571159363},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.42494022846221924},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.4125097990036011},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3638696074485779},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18548095226287842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10197094082832336}],"concepts":[{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.7008163928985596},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.6597702503204346},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6129562854766846},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5463798642158508},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.5109714269638062},{"id":"https://openalex.org/C57482682","wikidata":"https://www.wikidata.org/wiki/Q182154","display_name":"Time travel","level":2,"score":0.4691055417060852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4547698497772217},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4290396571159363},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.42494022846221924},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.4125097990036011},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3638696074485779},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18548095226287842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10197094082832336},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3661725.3661789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661725.3661789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computing Machine Learning and Data Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2027451692","https://openalex.org/W2058513801","https://openalex.org/W2350264235"],"related_works":["https://openalex.org/W2181710868","https://openalex.org/W4213464219","https://openalex.org/W4389986277","https://openalex.org/W4214958780","https://openalex.org/W4392428071","https://openalex.org/W2132623055","https://openalex.org/W2102466775","https://openalex.org/W624185289","https://openalex.org/W1968943180","https://openalex.org/W2352155526"],"abstract_inverted_index":{"Understanding":[0],"the":[1,26,87,105],"travel":[2,31,48,54,60,75,81],"behavior":[3],"of":[4,30,86],"college":[5,34],"students,":[6],"especially":[7],"their":[8],"travels":[9],"back":[10],"to":[11,24,37,103],"campus,":[12],"is":[13],"vital":[14],"for":[15,74,100],"effective":[16],"transportation":[17],"planning":[18],"and":[19,28,62,78,94,108],"policy-making.":[20],"This":[21],"study":[22],"aims":[23],"investigate":[25],"length":[27,77,93],"characteristics":[29,82],"chains":[32],"among":[33],"students":[35],"returning":[36],"campus.":[38],"Utilizing":[39],"a":[40,71],"three-stage":[41],"analysis":[42],"approach,":[43],"we":[44,69,97],"examine":[45],"factors":[46],"influencing":[47,112],"chain":[49,76],"length,":[50],"including":[51],"urban":[52],"classification,":[53],"distance":[55],"during":[56],"post-link":[57],"stages,":[58],"intercity":[59],"duration,":[61],"overall":[63],"time.":[64],"Based":[65],"on":[66],"our":[67],"findings,":[68],"develop":[70],"predictive":[72,106],"model":[73,107],"explore":[79],"unique":[80],"at":[83],"each":[84],"stage":[85],"travel.":[88],"Despite":[89],"limitations":[90],"in":[91],"article":[92],"sample":[95],"data,":[96],"identify":[98],"avenues":[99],"future":[101],"research":[102],"enhance":[104],"delve":[109],"into":[110],"additional":[111],"factors,":[113],"such":[114],"as":[115],"household":[116],"income.":[117]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
