{"id":"https://openalex.org/W3097010031","doi":"https://doi.org/10.1109/jiot.2020.3034991","title":"Hierarchical Prediction Based on Network-Representation-Learning-Enhanced Clustering for Bike-Sharing System in Smart City","display_name":"Hierarchical Prediction Based on Network-Representation-Learning-Enhanced Clustering for Bike-Sharing System in Smart City","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3097010031","doi":"https://doi.org/10.1109/jiot.2020.3034991","mag":"3097010031"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.3034991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3034991","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5063439671","display_name":"Jingjing Yang","orcid":"https://orcid.org/0000-0003-2751-2930"},"institutions":[{"id":"https://openalex.org/I169071405","display_name":"Hebei North University","ror":"https://ror.org/03hqwnx39","country_code":"CN","type":"education","lineage":["https://openalex.org/I169071405"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Yang","raw_affiliation_strings":["School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","School of Information Science and Engineering Hebei North University Zhangjiakou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","institution_ids":["https://openalex.org/I169071405"]},{"raw_affiliation_string":"School of Information Science and Engineering Hebei North University Zhangjiakou China","institution_ids":["https://openalex.org/I169071405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073242933","display_name":"Benzhen Guo","orcid":"https://orcid.org/0000-0002-8411-486X"},"institutions":[{"id":"https://openalex.org/I169071405","display_name":"Hebei North University","ror":"https://ror.org/03hqwnx39","country_code":"CN","type":"education","lineage":["https://openalex.org/I169071405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benzhen Guo","raw_affiliation_strings":["School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","School of Information Science and Engineering Hebei North University Zhangjiakou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","institution_ids":["https://openalex.org/I169071405"]},{"raw_affiliation_string":"School of Information Science and Engineering Hebei North University Zhangjiakou China","institution_ids":["https://openalex.org/I169071405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068577757","display_name":"Zhihui Wang","orcid":"https://orcid.org/0000-0002-2571-702X"},"institutions":[{"id":"https://openalex.org/I169071405","display_name":"Hebei North University","ror":"https://ror.org/03hqwnx39","country_code":"CN","type":"education","lineage":["https://openalex.org/I169071405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wang","raw_affiliation_strings":["School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","School of Information Science and Engineering Hebei North University Zhangjiakou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","institution_ids":["https://openalex.org/I169071405"]},{"raw_affiliation_string":"School of Information Science and Engineering Hebei North University Zhangjiakou China","institution_ids":["https://openalex.org/I169071405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101614962","display_name":"Yanli Ma","orcid":"https://orcid.org/0000-0002-1145-6914"},"institutions":[{"id":"https://openalex.org/I169071405","display_name":"Hebei North University","ror":"https://ror.org/03hqwnx39","country_code":"CN","type":"education","lineage":["https://openalex.org/I169071405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Ma","raw_affiliation_strings":["School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","School of Information Science and Engineering Hebei North University Zhangjiakou China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei North University, Zhangjiakou, China","institution_ids":["https://openalex.org/I169071405"]},{"raw_affiliation_string":"School of Information Science and Engineering Hebei North University Zhangjiakou China","institution_ids":["https://openalex.org/I169071405"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063439671"],"corresponding_institution_ids":["https://openalex.org/I169071405"],"apc_list":null,"apc_paid":null,"fwci":4.6137,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94361213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":"8","first_page":"6416","last_page":"6424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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":0.7660942673683167},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6200243234634399},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5098065733909607},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4669904112815857},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43823033571243286},{"id":"https://openalex.org/keywords/bike-sharing","display_name":"Bike sharing","score":0.4353737235069275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35084742307662964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24209290742874146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2042262852191925},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17189311981201172},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08775287866592407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660942673683167},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6200243234634399},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5098065733909607},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4669904112815857},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43823033571243286},{"id":"https://openalex.org/C2994001137","wikidata":"https://www.wikidata.org/wiki/Q1358919","display_name":"Bike sharing","level":2,"score":0.4353737235069275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35084742307662964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24209290742874146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2042262852191925},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17189311981201172},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08775287866592407},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2020.3034991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3034991","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W35399427","https://openalex.org/W295894637","https://openalex.org/W1888005072","https://openalex.org/W1972189565","https://openalex.org/W2054632425","https://openalex.org/W2062672519","https://openalex.org/W2154851992","https://openalex.org/W2297059404","https://openalex.org/W2798932700","https://openalex.org/W2904349291","https://openalex.org/W2908897420","https://openalex.org/W2911432088","https://openalex.org/W2943827744","https://openalex.org/W2945266622","https://openalex.org/W2962756421","https://openalex.org/W2963512530","https://openalex.org/W2987050385","https://openalex.org/W2995634787","https://openalex.org/W3008278654","https://openalex.org/W3013238231","https://openalex.org/W3025058555","https://openalex.org/W3026534984","https://openalex.org/W3035078642","https://openalex.org/W3104097132","https://openalex.org/W6601424805","https://openalex.org/W6777699910","https://openalex.org/W6777709984","https://openalex.org/W6779615252"],"related_works":["https://openalex.org/W2954294845","https://openalex.org/W4288103796","https://openalex.org/W2974004262","https://openalex.org/W2577596737","https://openalex.org/W2055243143","https://openalex.org/W2804364458","https://openalex.org/W2100843116","https://openalex.org/W4298130764","https://openalex.org/W4238323127","https://openalex.org/W2132641928"],"abstract_inverted_index":{"The":[0,148],"sharing":[1,31,37,52,82,126,138,158,221,236],"bike":[2,53,83,127,139,159,237],"system":[3],"is":[4,71,151,191,214],"emerging":[5],"as":[6],"a":[7,30,57,122,255,263],"new":[8],"type":[9],"of":[10,15,64,67,74,77,81,96,134,136,153,175,187,204],"transportation":[11],"with":[12,193,226],"the":[13,16,51,61,68,72,78,100,106,132,142,157,168,180,184,202,247],"advance":[14],"smart":[17],"city":[18],"in":[19,50,85,141,258,266],"recent":[20],"years.":[21],"More":[22],"and":[23,109,171,262],"more":[24],"people":[25],"will":[26],"choose":[27],"to":[28,42,144],"ride":[29],"bicycle":[32],"for":[33,125],"short-distance":[34],"travel.":[35],"While":[36],"bikes":[38],"provide":[39],"convenient":[40],"services":[41],"customers,":[43],"there":[44],"are":[45,113],"also":[46],"many":[47],"unfavorable":[48],"factors":[49,102],"system,":[54],"which":[55,129],"have":[56,92],"certain":[58],"impact":[59],"on":[60,198,217,233],"riding":[62],"experience":[63],"customers.":[65],"One":[66],"obvious":[69],"disadvantages":[70],"imbalance":[73],"usage":[75],"because":[76],"abnormal":[79],"distribution":[80],"stations":[84],"different":[86],"areas.":[87],"Despite":[88],"some":[89],"prediction":[90,182,249],"work":[91],"been":[93],"done,":[94],"most":[95],"them":[97],"merely":[98],"consider":[99],"geographical":[101],"between":[103,177],"station":[104,140,160,190,208],"whereas":[105],"user":[107],"preferences":[108],"global":[110],"network":[111,163],"information":[112,174],"not":[114],"fully":[115],"considered.":[116],"In":[117,179],"this":[118],"work,":[119],"we":[120],"propose":[121],"hierarchical":[123,181,244],"model":[124,150,196],"prediction,":[128],"can":[130,209,245],"predict":[131],"number":[133,186,203],"rents/returns":[135,205],"each":[137,207],"future":[143],"achieve":[145,246],"resource":[146],"redistribution.":[147],"proposed":[149,243,252],"composed":[152],"two":[154,218,234],"steps,":[155],"including":[156],"clustering":[161],"via":[162],"representation":[164],"learning":[165],"by":[166,224],"considering":[167],"migration":[169],"trends":[170],"geographic":[172],"location":[173],"bike-sharing":[176,189],"station.":[178],"step,":[183],"total":[185],"all":[188],"predicted":[192],"an":[194],"inference":[195],"based":[197,216],"multiple":[199],"similarities.":[200],"Finally,":[201],"at":[206],"be":[210],"derived.":[211],"Our":[212,251],"method":[213,253],"evaluated":[215],"publicly":[219],"available":[220],"data":[222,238],"sets":[223,239],"comparison":[225],"several":[227],"baseline":[228],"methods.":[229],"Extensive":[230],"experimental":[231],"results":[232],"open":[235],"demonstrate":[240],"that":[241],"our":[242],"best":[248],"results.":[250],"has":[254],"17.34%":[256],"improvement":[257,265],"root-mean-squared":[259],"logarithmic":[260],"error":[261],"10.4%":[264],"return":[267],"prediction.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
