{"id":"https://openalex.org/W2966727702","doi":"https://doi.org/10.1145/3332522","title":"Housing Demand Estimation Based on Express Delivery Data","display_name":"Housing Demand Estimation Based on Express Delivery Data","publication_year":2019,"publication_date":"2019-07-26","ids":{"openalex":"https://openalex.org/W2966727702","doi":"https://doi.org/10.1145/3332522","mag":"2966727702"},"language":"en","primary_location":{"id":"doi:10.1145/3332522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3332522","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5100700132","display_name":"Qingyang Li","orcid":"https://orcid.org/0000-0001-8514-1555"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyang Li","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701166","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-9905-3238"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078005520","display_name":"Bin Guo","orcid":"https://orcid.org/0000-0001-6097-2467"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Guo","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101788631","display_name":"Huang Xu","orcid":"https://orcid.org/0000-0002-0385-8104"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Xu","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047229109","display_name":"Xinjiang Lu","orcid":"https://orcid.org/0000-0002-3602-0391"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjiang Lu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100700132"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.6104,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77397631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"13","issue":"4","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10632","display_name":"Housing Market and Economics","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9775000214576721,"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/real-estate","display_name":"Real estate","score":0.6779230833053589},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6008419990539551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5879870057106018},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5685430765151978},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5513208508491516},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5502177476882935},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.41081422567367554},{"id":"https://openalex.org/keywords/subdivision","display_name":"Subdivision","score":0.4100250005722046},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4073193669319153},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3933347463607788},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34457913041114807},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.332977294921875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24962157011032104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23187214136123657},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2056528925895691},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1788463592529297},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.16567730903625488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10810807347297668}],"concepts":[{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.6779230833053589},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6008419990539551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879870057106018},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5685430765151978},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5513208508491516},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5502177476882935},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.41081422567367554},{"id":"https://openalex.org/C143392562","wikidata":"https://www.wikidata.org/wiki/Q449111","display_name":"Subdivision","level":2,"score":0.4100250005722046},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4073193669319153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3933347463607788},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34457913041114807},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.332977294921875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24962157011032104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23187214136123657},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2056528925895691},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1788463592529297},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.16567730903625488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10810807347297668},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3332522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3332522","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1498436455","https://openalex.org/W1502922572","https://openalex.org/W1555574751","https://openalex.org/W1584308190","https://openalex.org/W1665214252","https://openalex.org/W1964357740","https://openalex.org/W1973749534","https://openalex.org/W1987228002","https://openalex.org/W1992536119","https://openalex.org/W2018096278","https://openalex.org/W2034203008","https://openalex.org/W2039240409","https://openalex.org/W2044809283","https://openalex.org/W2047028564","https://openalex.org/W2064276609","https://openalex.org/W2080007346","https://openalex.org/W2081321639","https://openalex.org/W2090096981","https://openalex.org/W2097451239","https://openalex.org/W2111616256","https://openalex.org/W2116650673","https://openalex.org/W2124972241","https://openalex.org/W2126288184","https://openalex.org/W2126709108","https://openalex.org/W2131676173","https://openalex.org/W2135046866","https://openalex.org/W2140405352","https://openalex.org/W2141546521","https://openalex.org/W2153207204","https://openalex.org/W2158634829","https://openalex.org/W2165178985","https://openalex.org/W2171239713","https://openalex.org/W2178225550","https://openalex.org/W2266290887","https://openalex.org/W2279820549","https://openalex.org/W2432541215","https://openalex.org/W2508432084","https://openalex.org/W2513521614","https://openalex.org/W2560674852","https://openalex.org/W2565681707","https://openalex.org/W2570257704","https://openalex.org/W2590814815","https://openalex.org/W2596180971","https://openalex.org/W2605300519","https://openalex.org/W2606476371","https://openalex.org/W2732888442","https://openalex.org/W2743808405","https://openalex.org/W2754930015","https://openalex.org/W2768009948","https://openalex.org/W2771590586","https://openalex.org/W2790446188","https://openalex.org/W2794024860","https://openalex.org/W2796901959","https://openalex.org/W2888654602","https://openalex.org/W2894982503","https://openalex.org/W2897819140","https://openalex.org/W2907902854","https://openalex.org/W2952645516","https://openalex.org/W3105669253","https://openalex.org/W3125888194","https://openalex.org/W4289866267","https://openalex.org/W6610017368","https://openalex.org/W6754364536"],"related_works":["https://openalex.org/W2384806462","https://openalex.org/W4389950792","https://openalex.org/W2375549870","https://openalex.org/W4376632515","https://openalex.org/W2163269603","https://openalex.org/W4205312897","https://openalex.org/W2795347481","https://openalex.org/W1106115901","https://openalex.org/W2140072033","https://openalex.org/W2055560755"],"abstract_inverted_index":{"Housing":[0],"demand":[1,84,90,121,217,247],"estimation":[2,98,122],"is":[3,14,31,53,60,218,241],"an":[4],"important":[5],"topic":[6],"in":[7,55,64,76,94,113,150],"the":[8,43,47,74,82,105,130,137,141,147,151,167,173,182,189,192,195,206,215,238,245,249],"field":[9],"of":[10,46,73,143,169,175,191,199],"economic":[11],"research.":[12],"It":[13],"beneficial":[15],"and":[16,26,29,38,104,146,172,197,208],"helpful":[17,61],"for":[18,33,62,233],"various":[19,156],"applications":[20],"including":[21],"real":[22,35],"estate":[23,36],"market":[24],"regulation":[25],"urban":[27,66],"planning,":[28],"therefore":[30],"crucial":[32],"both":[34,166],"investors":[37],"government":[39],"administrators.":[40],"Meanwhile,":[41],"given":[42,180],"rapid":[44],"development":[45],"express":[48,56,70,126,131],"industry,":[49],"abundant":[50],"useful":[51],"information":[52],"embedded":[54],"delivery":[57,71,127,132],"records,":[58],"which":[59],"researchers":[63],"profiling":[65],"life":[67],"patterns.":[68],"The":[69,230],"behaviors":[72],"residents":[75],"a":[77,118,161,222],"residential":[78,170,176,250],"community":[79,138,251],"can":[80,187],"reflect":[81],"housing":[83,89,120,216,246],"to":[85],"some":[86],"extent.":[87],"Although":[88],"has":[91,99],"been":[92,101],"analyzed":[93],"previous":[95],"studies,":[96],"its":[97],"not":[100],"very":[102],"good,":[103],"subject":[106],"remains":[107],"under":[108],"explored.":[109],"To":[110],"this":[111,114],"end,":[112],"article,":[115],"we":[116],"propose":[117],"systematic":[119],"method":[123,225],"based":[124,226],"on":[125,136,227],"data.":[128],"First,":[129],"records":[133,152],"are":[134,153,158,202],"aggregated":[135],"scale":[139],"with":[140],"use":[142],"clustering":[144],"methods,":[145],"missing":[148],"values":[149],"completed.":[154],"Then,":[155],"features":[157,207],"extracted":[159],"from":[160],"less":[162],"sparse":[163],"dataset":[164],"considering":[165],"probability":[168],"mobility":[171],"attractiveness":[174],"communities.":[177],"In":[178],"addition,":[179],"that":[181,237],"correlations":[183,209],"between":[184,210],"different":[185,200,211],"districts":[186,201,212],"influence":[188],"performances":[190],"inference":[193],"model,":[194],"commonalities":[196],"differences":[198],"considered.":[203],"After":[204],"obtaining":[205],"being":[213],"obtained,":[214],"estimated":[219],"by":[220],"using":[221],"multi-task":[223],"learning":[224],"neural":[228],"networks.":[229],"experimental":[231],"results":[232],"real-world":[234],"data":[235],"show":[236],"proposed":[239],"model":[240],"effective":[242],"at":[243,248],"estimating":[244],"level.":[252]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}