{"id":"https://openalex.org/W3007176359","doi":"https://doi.org/10.1109/bigdata47090.2019.9005585","title":"Service Time Prediction for Last-Yard Delivery","display_name":"Service Time Prediction for Last-Yard Delivery","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007176359","doi":"https://doi.org/10.1109/bigdata47090.2019.9005585","mag":"3007176359"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034982826","display_name":"Song Junxian","orcid":null},"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"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Junxian Song","raw_affiliation_strings":["Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012162993","display_name":"Rong Wen","orcid":null},"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"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rong Wen","raw_affiliation_strings":["Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028317321","display_name":"Chi Xu","orcid":"https://orcid.org/0000-0001-5480-3974"},"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"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chi Xu","raw_affiliation_strings":["Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023172836","display_name":"Joel Wei En Tay","orcid":null},"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"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Joel Wei En Tay","raw_affiliation_strings":["Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Planning and Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210091207"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3933","last_page":"3938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9973999857902527,"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":0.9973999857902527,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9970999956130981,"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":0.9886000156402588,"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/service","display_name":"Service (business)","score":0.6950809955596924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6611052751541138},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5123356580734253},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4877050817012787},{"id":"https://openalex.org/keywords/service-delivery-framework","display_name":"Service delivery framework","score":0.4663642346858978},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4294721484184265},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3273333013057709},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1854025423526764},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15405869483947754},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.13842624425888062},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13656046986579895}],"concepts":[{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.6950809955596924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611052751541138},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5123356580734253},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4877050817012787},{"id":"https://openalex.org/C68595000","wikidata":"https://www.wikidata.org/wiki/Q2274177","display_name":"Service delivery framework","level":3,"score":0.4663642346858978},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4294721484184265},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3273333013057709},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1854025423526764},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15405869483947754},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.13842624425888062},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13656046986579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2011968383","https://openalex.org/W2090702599","https://openalex.org/W2106858492","https://openalex.org/W2143394441","https://openalex.org/W2295598076","https://openalex.org/W2532530365","https://openalex.org/W2902075181","https://openalex.org/W2911964244","https://openalex.org/W3102476541","https://openalex.org/W3142163851","https://openalex.org/W6653682780","https://openalex.org/W6728265098"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W2384744344","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W1525941177","https://openalex.org/W4389662547"],"abstract_inverted_index":{"Service":[0,36,97],"time":[1,6,28,37,80,88,114,128,157],"is":[2,38,87,102,137,150],"defined":[3],"as":[4,47],"the":[5,16,27,54,142],"taken":[7,29],"for":[8,62,81,158],"a":[9,13,19,39,63,75,94,135,146],"courier":[10],"to":[11,15,30,33,73,107,152,173],"deliver":[12],"package":[14],"doorstep":[17],"of":[18,56,78,155,168,187],"customer":[20],"after":[21],"leaving":[22],"his":[23,34],"vehicle":[24],"and":[25,67,90,110,179],"includes":[26],"return":[31],"back":[32],"vehicle.":[35],"particularly":[40],"important":[41],"parameter":[42],"in":[43,104,183],"logistics":[44,66,178],"job":[45],"planning":[46],"together":[48],"with":[49],"travel":[50],"time,":[51],"they":[52],"determine":[53],"number":[55],"jobs":[57],"that":[58],"can":[59],"be":[60],"planned":[61],"day.":[64],"Traditionally,":[65],"transportation":[68,180],"companies":[69,181],"rely":[70],"on":[71,117],"planners":[72],"give":[74],"manual":[76],"estimate":[77],"service":[79,113,127,136,144,156],"different":[82],"jobs.":[83,160],"However,":[84],"this":[85,105],"process":[86],"consuming":[89],"inaccurate.":[91],"As":[92],"such,":[93],"data-driven,":[95],"automated":[96],"Time":[98],"Prediction":[99],"(STP)":[100],"method":[101],"proposed":[103],"study":[106,162],"provide":[108,153],"faster":[109],"more":[111],"accurate":[112],"predictions":[115,154],"based":[116,182],"historical":[118,126,143],"data.":[119],"It":[120],"does":[121],"so":[122],"by":[123,132,175],"first":[124],"determining":[125],"from":[129,170],"GPS":[130],"data":[131,169],"detecting":[133],"when":[134],"being":[138],"conducted.":[139],"Then,":[140],"given":[141],"times,":[145],"KNN":[147],"regression":[148],"model":[149],"used":[151],"new":[159],"This":[161],"was":[163],"conducted":[164],"using":[165],"two":[166,176],"sets":[167],"2019":[171],"provided":[172],"us":[174],"separate":[177],"Singapore.":[184],"The":[185],"type":[186],"goods":[188],"delivered":[189],"are":[190],"FMCG":[191],"products.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
