{"id":"https://openalex.org/W3179893947","doi":"https://doi.org/10.3390/ijgi10070473","title":"Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data","display_name":"Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data","publication_year":2021,"publication_date":"2021-07-10","ids":{"openalex":"https://openalex.org/W3179893947","doi":"https://doi.org/10.3390/ijgi10070473","mag":"3179893947"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10070473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10070473","pdf_url":"https://www.mdpi.com/2220-9964/10/7/473/pdf?version=1626073021","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/10/7/473/pdf?version=1626073021","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003237689","display_name":"Qingying Yu","orcid":"https://orcid.org/0000-0002-5816-3190"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingying Yu","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","School of Computer and Information, Anhui Normal University, Wuhu 241002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002784119","display_name":"Chuanming Chen","orcid":"https://orcid.org/0000-0002-0296-8192"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuanming Chen","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","School of Computer and Information, Anhui Normal University, Wuhu 241002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056056360","display_name":"Liping Sun","orcid":"https://orcid.org/0000-0002-6678-9759"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Sun","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","School of Computer and Information, Anhui Normal University, Wuhu 241002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070055083","display_name":"Xiaoyao Zheng","orcid":"https://orcid.org/0000-0001-7554-4211"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyao Zheng","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","School of Computer and Information, Anhui Normal University, Wuhu 241002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China","institution_ids":["https://openalex.org/I4472751"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002784119"],"corresponding_institution_ids":["https://openalex.org/I4472751"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.1783,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81400954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"7","first_page":"473","last_page":"473"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.998199999332428,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8568793535232544},{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.7466731071472168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484043598175049},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6164324283599854},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.42000800371170044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28991878032684326}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8568793535232544},{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.7466731071472168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484043598175049},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6164324283599854},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.42000800371170044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28991878032684326},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10070473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10070473","pdf_url":"https://www.mdpi.com/2220-9964/10/7/473/pdf?version=1626073021","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dcf488026ecf40cdbda6d3b699fcfa8e","is_oa":true,"landing_page_url":"https://doaj.org/article/dcf488026ecf40cdbda6d3b699fcfa8e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 7, p 473 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/7/473/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10070473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 10; Issue 7; Pages: 473","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10070473","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10070473","pdf_url":"https://www.mdpi.com/2220-9964/10/7/473/pdf?version=1626073021","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1118473709","display_name":null,"funder_award_id":"61702010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G114095857","display_name":null,"funder_award_id":"1808085MF172","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G1784391434","display_name":null,"funder_award_id":"1808085MF172","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6110408114","display_name":null,"funder_award_id":"61972439","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G6987131063","display_name":null,"funder_award_id":"gxyqZD2020004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7633484374","display_name":"\u57fa\u4e8e\u4f4d\u7f6e\u670d\u52a1\u7684\u5730\u7406\u793e\u4ea4\u7f51\u7edc\u6a21\u578b\u6784\u5efa\u53ca\u9690\u79c1\u4fdd\u62a4\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61672039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8045461270","display_name":null,"funder_award_id":"61702010, 61972439, 61672039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8308936892","display_name":"\u57fa\u4e8e\u591a\u6e90\u8f68\u8ff9\u7684\u8def\u7f51\u611f\u77e5\u8bed\u4e49\u6a21\u578b\u6784\u5efa\u53ca\u4e2a\u6027\u5316\u63a8\u8350\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3179893947.pdf","grobid_xml":"https://content.openalex.org/works/W3179893947.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W429010637","https://openalex.org/W1691453682","https://openalex.org/W1956951577","https://openalex.org/W1969116360","https://openalex.org/W2009155608","https://openalex.org/W2067193733","https://openalex.org/W2158790265","https://openalex.org/W2193209126","https://openalex.org/W2322990480","https://openalex.org/W2339435260","https://openalex.org/W2355415052","https://openalex.org/W2505396488","https://openalex.org/W2549636757","https://openalex.org/W2553467885","https://openalex.org/W2752868845","https://openalex.org/W2756229568","https://openalex.org/W2765525777","https://openalex.org/W2793343370","https://openalex.org/W2885712284","https://openalex.org/W2993258566","https://openalex.org/W3136633361","https://openalex.org/W6724686424","https://openalex.org/W6770978493","https://openalex.org/W6986366923"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2379637199","https://openalex.org/W2405057786","https://openalex.org/W2501832907","https://openalex.org/W2063054109","https://openalex.org/W2079602762","https://openalex.org/W2580355466","https://openalex.org/W2390279801"],"abstract_inverted_index":{"Urban":[0],"hotspot":[1,165],"area":[2,57],"detection":[3],"is":[4,20,78,160],"an":[5,56],"important":[6],"issue":[7,127],"that":[8,156,168],"needs":[9],"to":[10,24],"be":[11],"explored":[12],"for":[13,80,162],"urban":[14,41,82,164],"planning":[15],"and":[16,36,69,119,145,167],"traffic":[17],"management.":[18],"It":[19],"of":[21,40,52,65,128],"great":[22],"significance":[23],"mine":[25],"hotspots":[26,83],"from":[27,84],"taxi":[28,85],"trajectory":[29,86,153],"data,":[30],"which":[31],"reflect":[32],"residents\u2019":[33],"travel":[34],"characteristics":[35],"the":[37,50,63,66,70,103,113,125,135,157],"operational":[38],"status":[39],"traffic.":[42],"The":[43,95,142],"existing":[44],"clustering":[45,93,98,105,126,140],"methods":[46],"mainly":[47],"concentrate":[48],"on":[49,89,149],"number":[51],"objects":[53],"contained":[54],"in":[55,106],"within":[58],"a":[59,75,107,133,150],"specified":[60],"size,":[61],"neglecting":[62],"impact":[64],"local":[67],"density":[68],"tightness":[71],"between":[72,115],"objects.":[73],"Hence,":[74],"novel":[76],"algorithm":[77,99,137,159],"proposed":[79,96,136,158],"detecting":[81],"data":[87],"based":[88],"nearest":[90,121],"neighborhood-related":[91],"quality":[92],"techniques.":[94],"spatial":[97],"not":[100],"only":[101],"considers":[102,112],"maximum":[104],"limited":[108],"range":[109],"but":[110],"also":[111],"relationship":[114],"each":[116],"cluster":[117],"center":[118],"its":[120],"neighborhood,":[122],"effectively":[123],"addressing":[124],"unevenly":[129],"distributed":[130],"datasets.":[131],"As":[132],"result,":[134],"obtains":[138,170],"high-quality":[139],"results.":[141],"visual":[143],"representation":[144],"simulated":[146],"experimental":[147],"results":[148],"real-life":[151],"cab":[152],"dataset":[154],"show":[155],"suitable":[161],"inferring":[163],"areas,":[166],"it":[169],"better":[171],"accuracy":[172],"than":[173],"traditional":[174],"density-based":[175],"methods.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2021-07-19T00:00:00"}
