{"id":"https://openalex.org/W3207776611","doi":"https://doi.org/10.3233/jifs-210917","title":"Second-hand housing batch evaluation model of zhengzhou city based on big data and MGWR model","display_name":"Second-hand housing batch evaluation model of zhengzhou city based on big data and MGWR model","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3207776611","doi":"https://doi.org/10.3233/jifs-210917","mag":"3207776611"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210917","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210917","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/A5012660765","display_name":"Chaojie Liu","orcid":"https://orcid.org/0000-0003-0877-0424"},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaojie Liu","raw_affiliation_strings":["School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","institution_ids":["https://openalex.org/I4750791"]},{"raw_affiliation_string":"Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101663361","display_name":"Jie Lu","orcid":"https://orcid.org/0000-0002-2585-7671"},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Lu","raw_affiliation_strings":["School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","institution_ids":["https://openalex.org/I4750791"]},{"raw_affiliation_string":"Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066450876","display_name":"Wenjing Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Fu","raw_affiliation_strings":["School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","institution_ids":["https://openalex.org/I4750791"]},{"raw_affiliation_string":"Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033660730","display_name":"Zhuoyi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoyi Zhou","raw_affiliation_strings":["School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, Henan Agricultural University, Zhengzhou, China","institution_ids":["https://openalex.org/I4750791"]},{"raw_affiliation_string":"Technical Research Center of Land Regulation and Ecological Reconstruction Engineering of Henan Province, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101663361"],"corresponding_institution_ids":["https://openalex.org/I4750791"],"apc_list":null,"apc_paid":null,"fwci":1.15,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85928959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"42","issue":"4","first_page":"4221","last_page":"4240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9987999796867371,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.992900013923645,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.8675919771194458},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.6424695253372192},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5661806464195251},{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.5516847968101501},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.502345085144043},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5016813278198242},{"id":"https://openalex.org/keywords/geographically-weighted-regression","display_name":"Geographically Weighted Regression","score":0.484479159116745},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4740179181098938},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4398324191570282},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.43194708228111267},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42669761180877686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42567750811576843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3870462477207184},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18785953521728516},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09730660915374756},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08248269557952881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08197242021560669}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.8675919771194458},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.6424695253372192},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5661806464195251},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.5516847968101501},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.502345085144043},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5016813278198242},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.484479159116745},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4740179181098938},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4398324191570282},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.43194708228111267},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42669761180877686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42567750811576843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3870462477207184},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18785953521728516},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09730660915374756},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08248269557952881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08197242021560669}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-210917","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210917","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":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1528280126","https://openalex.org/W1829241487","https://openalex.org/W1849567797","https://openalex.org/W1963748797","https://openalex.org/W1965114096","https://openalex.org/W1971794754","https://openalex.org/W1979683229","https://openalex.org/W1980398988","https://openalex.org/W1980585834","https://openalex.org/W1988130678","https://openalex.org/W2002742877","https://openalex.org/W2004872488","https://openalex.org/W2011330606","https://openalex.org/W2018773489","https://openalex.org/W2029924333","https://openalex.org/W2038922507","https://openalex.org/W2044206300","https://openalex.org/W2047120335","https://openalex.org/W2051688880","https://openalex.org/W2072458142","https://openalex.org/W2083940143","https://openalex.org/W2094092826","https://openalex.org/W2106687504","https://openalex.org/W2123866109","https://openalex.org/W2465664678","https://openalex.org/W2472373273","https://openalex.org/W2515561179","https://openalex.org/W2561674923","https://openalex.org/W2735574852","https://openalex.org/W2747207142","https://openalex.org/W2892168173","https://openalex.org/W2892752814","https://openalex.org/W2902317130","https://openalex.org/W2902637964","https://openalex.org/W2916458420","https://openalex.org/W2933512823","https://openalex.org/W2944246121","https://openalex.org/W2977062035","https://openalex.org/W2991484980","https://openalex.org/W2997064797","https://openalex.org/W3004741678","https://openalex.org/W3022544804","https://openalex.org/W6676102822","https://openalex.org/W6770992331","https://openalex.org/W6776987834"],"related_works":["https://openalex.org/W2093761689","https://openalex.org/W1520214864","https://openalex.org/W2995340247","https://openalex.org/W3011225402","https://openalex.org/W2032807833","https://openalex.org/W2748959688","https://openalex.org/W2134006231","https://openalex.org/W1980422890","https://openalex.org/W2948227782","https://openalex.org/W1619696804"],"abstract_inverted_index":{"How":[0],"to":[1,55,59],"better":[2],"evaluate":[3],"the":[4,15,23,38,45,153,159,177],"value":[5,39],"of":[6,17,25,40,50,69,98,134,150,168],"urban":[7],"real":[8,18],"estate":[9,19],"is":[10,34],"a":[11,95],"major":[12],"issue":[13],"in":[14,36],"reform":[16],"tax":[20],"system.":[21],"So":[22],"establishment":[24],"an":[26],"accurate":[27],"and":[28,63,83,88,101,107,121,137,166],"efficient":[29],"housing":[30,47,61,170],"batch":[31],"evaluation":[32],"model":[33,60],"crucial":[35],"evaluating":[37],"housing.":[41],"In":[42],"this":[43],"paper":[44],"second-hand":[46,169],"transaction":[48],"data":[49,171],"Zhengzhou":[51],"City":[52],"from":[53],"2010":[54],"2019":[56],"was":[57,105,141,152],"used":[58],"prices":[62],"explanatory":[64],"variables":[65],"by":[66,139,145,156,161,176],"using":[67],"models":[68],"Ordinary":[70],"Least":[71],"Square":[72],"(OLS),":[73],"Spatial":[74],"Error":[75],"Model":[76],"(SEM),":[77],"Geographically":[78,82,90],"Weighted":[79,85,91],"Regression":[80,86,92],"(GWR),":[81],"Temporally":[84],"(GTWR),":[87],"Multiscale":[89],"(MGWR).":[93],"And":[94],"correction":[96,111],"method":[97],"Barrier":[99],"Line":[100],"Access":[102],"Point":[103],"(BLAAP)":[104],"constructed,":[106],"compared":[108],"with":[109],"three":[110],"methods":[112],"previously":[113],"studied:":[114],"Buffer":[115],"Area":[116],"(BA),":[117],"Euclidean":[118],"Distance":[119,125],"(ED),":[120],"Non-Euclidean":[122],"Distance,":[123],"Travel":[124],"(ND,":[126],"TT).":[127],"The":[128,131,147],"results":[129],"showed:":[130],"fitting":[132,148],"degree":[133,149],"GWR,":[135],"MGWR":[136,151],"GTWR":[138],"BLAAP":[140,157],"0.03\u20130.07":[142],"higher":[143],"than":[144],"ND.":[146],"highest":[154],"(0.883)":[155],"but":[158],"smallest":[160],"Akaike":[162],"Information":[163],"Criterion":[164],"(AIC),":[165],"88.3%":[167],"could":[172],"be":[173],"well":[174],"interpreted":[175],"model.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
