{"id":"https://openalex.org/W4200411218","doi":"https://doi.org/10.3233/jifs-211202","title":"Forecasting public bicycle rental demand using an optimized eXtreme Gradient Boosting model","display_name":"Forecasting public bicycle rental demand using an optimized eXtreme Gradient Boosting model","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W4200411218","doi":"https://doi.org/10.3233/jifs-211202"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-211202","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-211202","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5074133703","display_name":"Yuanjiao Hu","orcid":"https://orcid.org/0000-0001-8296-8194"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjiao Hu","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053577656","display_name":"Zhaoyun Sun","orcid":"https://orcid.org/0000-0003-1326-3566"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyun Sun","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318322","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-9428-8062"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091410266","display_name":"Lili Pei","orcid":"https://orcid.org/0000-0002-1084-8289"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Pei","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an, Shaanxi, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, Shaanxi, People's Republic of China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100318322"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":0.7767,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80058054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"42","issue":"3","first_page":"1783","last_page":"1801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9955999851226807,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.6614352464675903},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5439687967300415},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5405842661857605},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5374349355697632},{"id":"https://openalex.org/keywords/renting","display_name":"Renting","score":0.5080718994140625},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.45109957456588745},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.42366549372673035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38211172819137573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3196712136268616},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.31047505140304565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15733793377876282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11991861462593079},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08245092630386353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614352464675903},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5439687967300415},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5405842661857605},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5374349355697632},{"id":"https://openalex.org/C85502023","wikidata":"https://www.wikidata.org/wiki/Q157171","display_name":"Renting","level":2,"score":0.5080718994140625},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.45109957456588745},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.42366549372673035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38211172819137573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3196712136268616},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.31047505140304565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15733793377876282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11991861462593079},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08245092630386353},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-211202","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-211202","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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":40,"referenced_works":["https://openalex.org/W2047881856","https://openalex.org/W2051496781","https://openalex.org/W2062672519","https://openalex.org/W2145656012","https://openalex.org/W2156332695","https://openalex.org/W2237670588","https://openalex.org/W2555719950","https://openalex.org/W2577596737","https://openalex.org/W2733322935","https://openalex.org/W2782436466","https://openalex.org/W2784025225","https://openalex.org/W2795577446","https://openalex.org/W2896523147","https://openalex.org/W2903799353","https://openalex.org/W2904628357","https://openalex.org/W2905145492","https://openalex.org/W2937345675","https://openalex.org/W2963089930","https://openalex.org/W2963792940","https://openalex.org/W2993936862","https://openalex.org/W3008911837","https://openalex.org/W3018492465","https://openalex.org/W3032564070","https://openalex.org/W3035816530","https://openalex.org/W3041374122","https://openalex.org/W3044457866","https://openalex.org/W3100492273","https://openalex.org/W3121469503","https://openalex.org/W3124695286","https://openalex.org/W3136570575","https://openalex.org/W3137108512","https://openalex.org/W3138900755","https://openalex.org/W3147851980","https://openalex.org/W3151640016","https://openalex.org/W3201107809","https://openalex.org/W4238364177","https://openalex.org/W4248004455","https://openalex.org/W6780550641","https://openalex.org/W6781457254","https://openalex.org/W6792115845"],"related_works":["https://openalex.org/W10697079","https://openalex.org/W13014251","https://openalex.org/W5006466","https://openalex.org/W13451536","https://openalex.org/W2792870","https://openalex.org/W10356211","https://openalex.org/W6814070","https://openalex.org/W11910705","https://openalex.org/W5716871","https://openalex.org/W12384842"],"abstract_inverted_index":{"The":[0,18,153,177,194],"rational":[1],"distribution":[2],"of":[3,14,21,37,183,192,206],"public":[4,15,25,72,110,207],"bicycle":[5,16,31,52,73,111,122,127,170],"rental":[6,53],"fleets":[7],"is":[8,27,97,115],"crucial":[9],"for":[10,24,199],"improving":[11],"the":[12,22,35,49,57,88,104,133,150,157,163,169,200],"efficiency":[13],"programs.":[17],"accurate":[19],"prediction":[20,43,146],"demand":[23,74,112,128,171],"bicycles":[26],"critical":[28],"to":[29,66,99,125],"improve":[30],"utilization.":[32,123],"To":[33],"overcome":[34],"shortcomings":[36],"traditional":[38],"algorithms":[39],"such":[40],"as":[41],"low":[42],"accuracy":[44],"and":[45,70,81,142,185,203],"poor":[46],"stability,":[47],"using":[48],"2011\u20132012":[50],"hourly":[51],"data":[54],"provided":[55],"by":[56],"Washington":[58],"City":[59],"Bicycle":[60],"Rental":[61],"System,":[62],"this":[63,130],"study":[64,131],"aims":[65],"develop":[67],"an":[68,181],"optimized":[69,158,178],"innovative":[71],"forecasting":[75],"model":[76,114,134,147,160,179],"based":[77,92,117,148,161],"on":[78,93,103,118,149,162],"grid":[79,138,164],"search":[80,139,165],"eXtreme":[82],"Gradient":[83],"Boosting":[84],"(XGBoost)":[85],"algorithm.":[86],"First,":[87],"feature":[89,101],"ranking":[90],"method":[91],"machine":[94],"learning":[95],"models":[96],"used":[98,198],"analyze":[100],"importance":[102],"original":[105],"data.":[106],"In":[107],"addition,":[108],"a":[109,137,144,186],"forecast":[113],"established":[116],"important":[119],"factors":[120],"affecting":[121],"Finally,":[124],"predict":[126,168],"accurately,":[129],"optimizes":[132],"parameters":[135],"through":[136],"(GS)":[140],"algorithm":[141,166],"builds":[143],"new":[145],"optimal":[151],"parameters.":[152],"results":[154,195],"show":[155],"that":[156],"XGBoost":[159],"can":[167,196],"more":[172],"accurately":[173],"than":[174],"other":[175],"models.":[176],"has":[180],"R-Squared":[182],"0.947,":[184],"root":[187],"mean":[188],"squared":[189],"logarithmic":[190],"error":[191],"0.495.":[193],"be":[197],"effective":[201],"management":[202],"reasonable":[204],"dispatch":[205],"bicycles.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
