{"id":"https://openalex.org/W4206830651","doi":"https://doi.org/10.1109/tits.2022.3140351","title":"Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-Shipping","display_name":"Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-Shipping","publication_year":2022,"publication_date":"2022-01-11","ids":{"openalex":"https://openalex.org/W4206830651","doi":"https://doi.org/10.1109/tits.2022.3140351"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3140351","doi":"https://doi.org/10.1109/tits.2022.3140351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3140351","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","ccf-b","cwts-core","dongbi-a","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5061571502","display_name":"Yulin Lan","orcid":"https://orcid.org/0000-0003-0434-1980","observed_orcids":["https://orcid.org/0000-0003-0434-1980"]},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Lin Lan","raw_affiliation_strings":["Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, School of Computer and Artificial Intelligence, Xiangnan University, Chenzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0434-1980","affiliations":[{"raw_affiliation_string":"Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, School of Computer and Artificial Intelligence, Xiangnan University, Chenzhou, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005463262","display_name":"Fagui Liu","orcid":"https://orcid.org/0000-0003-1135-4982","observed_orcids":["https://orcid.org/0000-0003-1135-4982"]},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fagui Liu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1135-4982","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585","observed_orcids":["https://orcid.org/0000-0003-0783-3585"]},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0783-3585","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019061617","display_name":"Mengke Gui","orcid":"https://orcid.org/0000-0003-3031-4134","observed_orcids":["https://orcid.org/0000-0003-3031-4134"]},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengke Gui","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3031-4134","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chengqi Lai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengqi Lai","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":2.3642,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.88147744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"23","issue":"9","first_page":"15340","last_page":"15353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.7153000235557556,"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"}},"topics":[{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.7153000235557556,"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"}},{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.28049999475479126,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.0003000000142492354,"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/crowdshipping","display_name":"crowdshipping","score":0.9359999895095825},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8820000290870667},{"id":"https://openalex.org/keywords/delivery-speed","display_name":"delivery speed","score":0.7049999833106995},{"id":"https://openalex.org/keywords/customer-satisfaction","display_name":"customer satisfaction","score":0.9779999852180481},{"id":"https://openalex.org/keywords/neighborhood-operators","display_name":"neighborhood operators","score":0.781000018119812},{"id":"https://openalex.org/keywords/pareto-front","display_name":"Pareto front","score":0.8519999980926514},{"id":"https://openalex.org/keywords/city-logistics","display_name":"urban logistics","score":0.5360000133514404},{"id":"https://openalex.org/keywords/last-mile-delivery","display_name":"last-mile delivery","score":0.621999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5556537508964539},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.47414037585258484},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4628668427467346},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4583517909049988},{"id":"https://openalex.org/C2987704428","wikidata":"https://www.wikidata.org/wiki/Q7900121","display_name":"City logistics","level":2,"score":0.44583889842033386},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.43292897939682007},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4323931634426117},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.43168315291404724},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.33564233779907227},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3335042893886566},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21559011936187744},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14295944571495056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11175143718719482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09936609864234924},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3140351","doi":"https://doi.org/10.1109/tits.2022.3140351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3140351","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","ccf-b","cwts-core","dongbi-a","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.875,"display_name":"Sustainable cities and communities"},{"id":"https://metadata.un.org/sdg/9","score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1329289715","display_name":null,"funder_award_id":"201804010245","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G581140897","display_name":null,"funder_award_id":"2019A050510006","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G5996681888","display_name":null,"funder_award_id":"17C1503","funder_id":"https://openalex.org/F4320311213","funder_display_name":"Education Department of Hunan Province"},{"id":"https://openalex.org/G6185284941","display_name":null,"funder_award_id":"61876066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311213","display_name":"Education Department of Hunan Province","ror":"https://ror.org/05ckg3w11"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2022485595","https://openalex.org/W2026904884","https://openalex.org/W2056973373","https://openalex.org/W2331159541","https://openalex.org/W2332834184","https://openalex.org/W2522004770","https://openalex.org/W2546223729","https://openalex.org/W2550729640","https://openalex.org/W2582670358","https://openalex.org/W2605972277","https://openalex.org/W2611421169","https://openalex.org/W2742261706","https://openalex.org/W2772915065","https://openalex.org/W2795524508","https://openalex.org/W2800533757","https://openalex.org/W2802480283","https://openalex.org/W2803207272","https://openalex.org/W2808786377","https://openalex.org/W2863927645","https://openalex.org/W2886012813","https://openalex.org/W2886977397","https://openalex.org/W2915072386","https://openalex.org/W2921751299","https://openalex.org/W2933150416","https://openalex.org/W2939917282","https://openalex.org/W2944270464","https://openalex.org/W2947297993","https://openalex.org/W2950152311","https://openalex.org/W2953661161","https://openalex.org/W2972372823","https://openalex.org/W2973520255","https://openalex.org/W2979300297","https://openalex.org/W2980028286","https://openalex.org/W3022842046","https://openalex.org/W3027940156","https://openalex.org/W3034038218","https://openalex.org/W3034533053","https://openalex.org/W3036925570","https://openalex.org/W3037400140","https://openalex.org/W3038089944","https://openalex.org/W3039823371","https://openalex.org/W3096222764","https://openalex.org/W3103310647","https://openalex.org/W3120225493","https://openalex.org/W3122711124","https://openalex.org/W3135452621","https://openalex.org/W3156807906"],"related_works":["https://openalex.org/W3039823371","https://openalex.org/W4289341758","https://openalex.org/W4288685276","https://openalex.org/W3216262215","https://openalex.org/W4412655979","https://openalex.org/W3139015306","https://openalex.org/W4361026953","https://openalex.org/W7128300622","https://openalex.org/W4392519880","https://openalex.org/W2374955502"],"abstract_inverted_index":{"Recently,":[0],"a":[1,71,83,104,127],"two-echelon":[2],"city":[3],"dispatching":[4],"model":[5,43,106],"with":[6,141,189],"mobile":[7,195],"satellites":[8],"(2ECD-MS)":[9],"has":[10],"been":[11],"proposed":[12,201,231],"to":[13,20,25,37,55,58,146],"reduce":[14],"costs":[15],"effectively.":[16],"However,":[17,78],"in":[18,30,44,92,186,209,221],"addition":[19],"costs,":[21],"speeds":[22],"of":[23,52,82,115,122,194,218,223,229],"delivery":[24,61,76,99,180,224],"customers":[26,97],"are":[27,137],"increasingly":[28],"demanding":[29],"urban":[31],"dispatching.":[32],"This":[33],"work":[34],"extends":[35],"2ECD-MS":[36,185],"2ECD-MS-CS":[38,123,157,170,219],"by":[39,126,175,182],"adopting":[40],"the":[41,45,60,68,75,79,142,149,172,179,216,227,230],"crowd-shipping":[42],"second-echelon":[46],"dispatching,":[47],"which":[48],"uses":[49],"occasional":[50],"drivers":[51],"private":[53],"vehicles":[54],"deliver":[56],"parcels":[57],"improve":[59],"speed.":[62],"Furthermore,":[63],"existing":[64,161],"works":[65],"generally":[66],"consider":[67],"optimization":[69,120,207],"from":[70],"single":[72],"aspect,":[73],"e.g.,":[74],"company.":[77],"sustainable":[80],"development":[81],"logistics":[84,93],"company":[85,108],"must":[86],"also":[87],"focus":[88],"on":[89,160],"other":[90],"subjects":[91],"activities,":[94],"such":[95],"as":[96],"and":[98,112,139,177,197,212,226],"employees.":[100],"So,":[101],"we":[102,153],"define":[103],"multi-objective":[105,119,206],"considering":[107],"cost,":[109],"customer":[110,191],"satisfaction,":[111],"income":[113],"satisfaction":[114],"crowd-shippers":[116],"simultaneously.":[117],"The":[118,200],"problem":[121],"is":[124],"solved":[125],"multi-directional":[128,143],"evolutionary":[129],"algorithm":[130],"(MDEA).":[131],"In":[132],"MDEA,":[133],"multiple":[134],"neighborhood":[135],"operators":[136],"designed":[138],"combined":[140],"search":[144],"strategy":[145],"fully":[147],"explore":[148],"Pareto":[150],"Front.":[151],"Finally,":[152],"generate":[154],"40":[155,187],"new":[156],"instances":[158,188],"based":[159],"common":[162],"vehicle":[163],"routing":[164],"datasets.":[165],"Experimental":[166],"results":[167],"show":[168],"that":[169],"reduces":[171],"average":[173],"cost":[174],"3.4%":[176],"improves":[178],"speed":[181,225],"42%":[183],"against":[184],"different":[190],"scales,":[192],"numbers":[193],"satellites,":[196],"geographic":[198],"scopes.":[199],"MDEA":[202],"outperforms":[203],"several":[204],"popular":[205],"algorithms":[208],"both":[210],"convergence":[211],"diversity.":[213],"These":[214],"illustrate":[215],"advantages":[217],"especially":[220],"terms":[222],"effectiveness":[228],"MDEA.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2022-01-26T00:00:00"}
