{"id":"https://openalex.org/W2735956500","doi":"https://doi.org/10.1109/ijcnn.2017.7966030","title":"Predicting public bicycle rental number using multi-source data","display_name":"Predicting public bicycle rental number using multi-source data","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735956500","doi":"https://doi.org/10.1109/ijcnn.2017.7966030","mag":"2735956500"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5103011510","display_name":"Fei Lin","orcid":"https://orcid.org/0000-0003-4121-1587"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Lin","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101585291","display_name":"Shihua Wang","orcid":"https://orcid.org/0000-0001-9735-6086"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihua Wang","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669101","display_name":"Jiang Jian","orcid":"https://orcid.org/0000-0002-1510-3972"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058192342","display_name":"Weidi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidi Fan","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040950727","display_name":"Y. Sun","orcid":"https://orcid.org/0000-0002-2489-8914"},"institutions":[{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Sun","raw_affiliation_strings":["Department of Information Technology, Zhejiang Institute of Communications, Hangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Zhejiang Institute of Communications, Hangzhou, P.R. China","institution_ids":["https://openalex.org/I4210108865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103011510"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10214888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1502","last_page":"1509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9905999898910522,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/renting","display_name":"Renting","score":0.9088054895401001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5205405950546265},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45650678873062134},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4312145709991455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41567811369895935},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32813236117362976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28296297788619995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24568471312522888},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.08649709820747375}],"concepts":[{"id":"https://openalex.org/C85502023","wikidata":"https://www.wikidata.org/wiki/Q157171","display_name":"Renting","level":2,"score":0.9088054895401001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5205405950546265},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45650678873062134},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4312145709991455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41567811369895935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32813236117362976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28296297788619995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24568471312522888},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.08649709820747375}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338468","display_name":"Basic Public Welfare Research Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1520944163","https://openalex.org/W1982978808","https://openalex.org/W2010554824","https://openalex.org/W2021679938","https://openalex.org/W2044144232","https://openalex.org/W2051680981","https://openalex.org/W2076374680","https://openalex.org/W2079662306","https://openalex.org/W2085255962","https://openalex.org/W2088736564","https://openalex.org/W2132278952","https://openalex.org/W2137203574","https://openalex.org/W2142827986","https://openalex.org/W2152878241","https://openalex.org/W2154575122","https://openalex.org/W2165299997"],"related_works":["https://openalex.org/W2521382368","https://openalex.org/W4246472006","https://openalex.org/W3134754987","https://openalex.org/W4386850732","https://openalex.org/W2076821048","https://openalex.org/W3198209193","https://openalex.org/W2262827936","https://openalex.org/W1565323085","https://openalex.org/W3196058011","https://openalex.org/W2387816800"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,9,14,70,88,113,135],"solve":[3],"the":[4,66,72,77,90,105,109,115,122,128,137,140],"problems":[5],"about":[6],"\u201cno":[7,12],"bicycle":[8,17,34,38,61,101,120,132],"rent\u201d":[10],"and":[11,42,50],"place":[13],"return\u201d,":[15],"Public":[16],"system":[18],"(PBS)":[19],"requires":[20],"rental":[21,29,57,84,102,111,116,133],"amount":[22,117],"prediction.":[23],"We":[24,126],"build":[25,71],"a":[26],"hybrid":[27],"short-term":[28],"prediction":[30,144],"model":[31,107],"of":[32,59,82,118,139],"public":[33,37,60,100,119,131],"by":[35,75],"using":[36,76],"renting":[39],"record":[40],"data":[41,45,80,134],"environmental":[43,67],"characteristic":[44,68],"such":[46],"as":[47],"holiday,":[48],"weather":[49],"temperature.":[51],"By":[52],"K-means":[53],"cluster":[54],"analysis,":[55],"different":[56,83],"modes":[58,85],"are":[62,86],"distinguished.":[63],"we":[64],"extract":[65],"rules":[69],"Bayesian":[73],"classifier":[74],"datasets.":[78],"The":[79,142],"samples":[81],"used":[87],"training":[89],"adaptive":[91],"particle":[92],"swarm":[93],"optimization-back-propagation":[94],"neural":[95],"network":[96],"(APSO-BP).":[97],"When":[98],"predict":[99,114],"amount,":[103],"choose":[104],"APSO-BP":[106],"with":[108],"same":[110],"mode":[112],"during":[121],"next":[123],"time":[124],"period.":[125],"use":[127],"real":[129],"Hangzhou":[130],"verify":[136],"validity":[138],"method.":[141],"average":[143],"accuracy":[145],"is":[146],"over":[147],"95%.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}