{"id":"https://openalex.org/W2584437074","doi":"https://doi.org/10.1109/bigdata.2016.7841050","title":"Weighted clustering of spatial pattern for optimal logistics hub deployment","display_name":"Weighted clustering of spatial pattern for optimal logistics hub deployment","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584437074","doi":"https://doi.org/10.1109/bigdata.2016.7841050","mag":"2584437074"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7841050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5100686432","display_name":"Rong Wen","orcid":"https://orcid.org/0000-0002-8526-1626"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Rong Wen","raw_affiliation_strings":["Agency for Science Technology and Research (A*STAR), Singapore Institute of Manufacturing Technology (SIMTech), Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research (A*STAR), Singapore Institute of Manufacturing Technology (SIMTech), Singapore, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082679217","display_name":"Wenjing Yan","orcid":"https://orcid.org/0000-0001-5746-2474"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wenjing Yan","raw_affiliation_strings":["Agency for Science Technology and Research (A*STAR), Singapore Institute of Manufacturing Technology (SIMTech), Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research (A*STAR), Singapore Institute of Manufacturing Technology (SIMTech), Singapore, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024069022","display_name":"Allan N. Zhang","orcid":"https://orcid.org/0000-0003-4795-5843"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Allan N. Zhang","raw_affiliation_strings":["Agency for Science Technology and Research (A*STAR), Singapore Institute of Manufacturing Technology (SIMTech), Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research (A*STAR), Singapore Institute of Manufacturing Technology (SIMTech), Singapore, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100686432"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I4210091207"],"apc_list":null,"apc_paid":null,"fwci":0.9405,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79923067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2016","issue":null,"first_page":"3792","last_page":"3797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9984999895095825,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9984999895095825,"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/T11106","display_name":"Data Management and Algorithms","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/software-deployment","display_name":"Software deployment","score":0.7901782393455505},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.7661460041999817},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.743411123752594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863850116729736},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4596182703971863},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.4393528997898102},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3801722526550293},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3640351891517639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13003814220428467},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11265841126441956},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11252427101135254}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7901782393455505},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.7661460041999817},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.743411123752594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863850116729736},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4596182703971863},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.4393528997898102},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3801722526550293},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3640351891517639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13003814220428467},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11265841126441956},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11252427101135254},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2016.7841050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7841050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:2787106747","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702253213896378","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334747","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W278302689","https://openalex.org/W1481793453","https://openalex.org/W1545109557","https://openalex.org/W1963887288","https://openalex.org/W1983245987","https://openalex.org/W1988149616","https://openalex.org/W2002560651","https://openalex.org/W2031346394","https://openalex.org/W2063428042","https://openalex.org/W2110725382","https://openalex.org/W2161160262","https://openalex.org/W2171290056","https://openalex.org/W2200526178","https://openalex.org/W2222783860","https://openalex.org/W2240726217","https://openalex.org/W2290828857","https://openalex.org/W2418056886","https://openalex.org/W2467149847","https://openalex.org/W4240537932","https://openalex.org/W4285719527","https://openalex.org/W6719823544"],"related_works":["https://openalex.org/W2566006169","https://openalex.org/W2770234245","https://openalex.org/W4367313141","https://openalex.org/W2733999579","https://openalex.org/W2910751785","https://openalex.org/W2110217573","https://openalex.org/W2987774938","https://openalex.org/W4366547507","https://openalex.org/W4283374591","https://openalex.org/W2004086023"],"abstract_inverted_index":{"Optimal":[0],"logistics":[1,9,19,30,61,82,93,113,157],"hub":[2,20,77,123,158],"deployment":[3,159],"is":[4,70,130],"a":[5,14,48,133],"strategic":[6],"challenge":[7],"in":[8],"planning":[10],"and":[11,42,89,104,139],"management.":[12],"Selecting":[13],"proper":[15],"location":[16,74,155],"for":[17,60,156],"the":[18,76,121,128,147],"could":[21,78],"be":[22,79,97,117],"significantly":[23],"impacted":[24],"by":[25,81,99,110],"long-term":[26],"geospatial":[27],"characteristics":[28,111],"of":[29,35,39,52,67,75,112,137],"operations":[31,114],"including":[32],"spatial":[33,54,88,94,100,107],"distribution":[34],"target":[36],"customers,":[37],"convenience":[38],"traffic":[40],"access":[41],"operational":[43],"cost.":[44],"This":[45],"paper":[46],"describes":[47],"method":[49,69,129,148],"using":[50],"clustering":[51],"weighted":[53,109],"patterns":[55,84,108],"to":[56,119,151,164],"find":[57],"optimal":[58,73,154],"locations":[59],"hubs":[62],"deployment.":[63],"The":[64,106,142],"underlying":[65],"concept":[66],"this":[68,126],"that":[71,146],"an":[72,153],"determined":[80],"operation":[83],"mined":[85],"from":[86],"logistical":[87],"temporal":[90],"data.":[91],"A":[92],"pattern":[95],"can":[96],"produced":[98],"association":[101],"rules":[102],"mining":[103],"clustering.":[105],"are":[115],"then":[116],"clustered":[118],"generate":[120,152],"final":[122],"location.":[124],"In":[125],"study,":[127],"validated":[131],"with":[132,160],"real":[134],"data":[135],"sets":[136],"pick-up":[138],"delivery":[140],"business.":[141],"experimental":[143],"results":[144],"demonstrated":[145],"was":[149],"able":[150],"reduced":[161],"travel":[162],"distance":[163],"frequent":[165],"customers'":[166],"locations.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
