{"id":"https://openalex.org/W4414620784","doi":"https://doi.org/10.1108/gs-04-2025-0047","title":"Assessment of UAV-based low-altitude logistics in urban supply chains: slope-intercepted grey incidence analysis","display_name":"Assessment of UAV-based low-altitude logistics in urban supply chains: slope-intercepted grey incidence analysis","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4414620784","doi":"https://doi.org/10.1108/gs-04-2025-0047"},"language":"en","primary_location":{"id":"doi:10.1108/gs-04-2025-0047","is_oa":false,"landing_page_url":"https://doi.org/10.1108/gs-04-2025-0047","pdf_url":null,"source":{"id":"https://openalex.org/S4210188239","display_name":"Grey Systems Theory and Application","issn_l":"2043-9377","issn":["2043-9377","2043-9385"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Grey Systems: Theory and Application","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":null,"display_name":"Zui Yu","orcid":"https://orcid.org/0009-0004-0929-7813"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zui Yu","raw_affiliation_strings":["School of Economics and Management, Zhejiang Business College , ,"],"raw_orcid":"https://orcid.org/0009-0004-0929-7813","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Zhejiang Business College , ,","institution_ids":["https://openalex.org/I90727586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90727586"],"apc_list":null,"apc_paid":null,"fwci":8.471,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97185261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"15","issue":"4","first_page":"881","last_page":"895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9909999966621399,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/drone","display_name":"Drone","score":0.7918000221252441},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5888000130653381},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5759000182151794},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.4796000123023987},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.43309998512268066},{"id":"https://openalex.org/keywords/delivery-performance","display_name":"Delivery Performance","score":0.38989999890327454},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.38440001010894775}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7918000221252441},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5888000130653381},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5759000182151794},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4885999858379364},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.4796000123023987},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.43309998512268066},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.39879998564720154},{"id":"https://openalex.org/C2777386808","wikidata":"https://www.wikidata.org/wiki/Q5254078","display_name":"Delivery Performance","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C2778964270","wikidata":"https://www.wikidata.org/wiki/Q7097774","display_name":"Operational efficiency","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37540000677108765},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2922999858856201},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C2984500058","wikidata":"https://www.wikidata.org/wiki/Q1296024","display_name":"Operational effectiveness","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2754000127315521}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/gs-04-2025-0047","is_oa":false,"landing_page_url":"https://doi.org/10.1108/gs-04-2025-0047","pdf_url":null,"source":{"id":"https://openalex.org/S4210188239","display_name":"Grey Systems Theory and Application","issn_l":"2043-9377","issn":["2043-9377","2043-9385"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Grey Systems: Theory and Application","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1577818368","https://openalex.org/W2324929133","https://openalex.org/W2469204413","https://openalex.org/W2522615148","https://openalex.org/W2609239033","https://openalex.org/W2756240103","https://openalex.org/W3015829695","https://openalex.org/W3018143605","https://openalex.org/W3025916675","https://openalex.org/W3037404681","https://openalex.org/W3047219565","https://openalex.org/W3087935424","https://openalex.org/W3094448493","https://openalex.org/W3104301069","https://openalex.org/W3136721450","https://openalex.org/W3162364413","https://openalex.org/W3170505145","https://openalex.org/W3180233789","https://openalex.org/W3190136886","https://openalex.org/W3202738716","https://openalex.org/W3204694606","https://openalex.org/W4200257181","https://openalex.org/W4211135757","https://openalex.org/W4225797003","https://openalex.org/W4280640784","https://openalex.org/W4282970004","https://openalex.org/W4283784116","https://openalex.org/W4285252587","https://openalex.org/W4286002152","https://openalex.org/W4288514564","https://openalex.org/W4288734793","https://openalex.org/W4296691937","https://openalex.org/W4296817142","https://openalex.org/W4302364527","https://openalex.org/W4320022049","https://openalex.org/W4323024761","https://openalex.org/W4362583780","https://openalex.org/W4377248207","https://openalex.org/W4384344205","https://openalex.org/W4386906053","https://openalex.org/W4389240563","https://openalex.org/W4390496843","https://openalex.org/W4390863669","https://openalex.org/W4392015111","https://openalex.org/W4392857754","https://openalex.org/W4393308972","https://openalex.org/W4396731614","https://openalex.org/W4401547465","https://openalex.org/W4401644320","https://openalex.org/W4401937200","https://openalex.org/W4402329717","https://openalex.org/W4403221961","https://openalex.org/W4405328755","https://openalex.org/W4405642344","https://openalex.org/W4406342867","https://openalex.org/W4407844915","https://openalex.org/W6926318271"],"related_works":[],"abstract_inverted_index":{"Purpose":[0],"The":[1,72,120,140,158,169],"current":[2],"study":[3,159,170],"evaluates":[4],"low-altitude":[5],"drone":[6,88,123],"logistics":[7,124],"performance":[8,27,85,92,147],"when":[9,148],"operating":[10,138],"in":[11,117,177],"the":[12,65,68,166],"environment":[13],"of":[14,67,102,122,165],"urban":[15],"supply":[16],"chains":[17],"using":[18,45],"a":[19,46,109,161],"novel":[20,47,162],"Grey":[21,49],"Incidence":[22,50],"Analysis":[23,51],"model.":[24,53],"Design/methodology/approach":[25],"Key":[26],"indications,":[28],"involving":[29],"Delivery":[30],"Time,":[31],"Traffic":[32],"Congestion,":[33],"Operational":[34],"Cost":[35],"per":[36],"Delivery,":[37],"Payload":[38],"Capacity,":[39],"and":[40,78,180,193],"Route":[41],"Optimization":[42],"were":[43],"evaluated":[44],"Slope-Intercepted":[48],"(SIGIA)":[52],"Comparative":[54],"analyses":[55],"with":[56],"four":[57],"other":[58],"multiple":[59,175],"criteria":[60],"decision-making":[61],"models":[62],"have":[63],"confirmed":[64],"reliability":[66],"proposed":[69,160],"approach.":[70],"Findings":[71],"results":[73,141],"indicate":[74],"that":[75,143,172],"delivery":[76,89,96],"time":[77],"traffic":[79,105,181],"congestion":[80],"stand":[81],"out":[82],"as":[83,116],"main":[84],"factors":[86],"where":[87],"demonstrates":[90,171],"strengthened":[91],"benefits.":[93],"Drones":[94],"shorten":[95],"duration":[97],"through":[98],"their":[99,130,136,184],"unique":[100],"feature":[101],"avoiding":[103],"road":[104],"because":[106],"they":[107],"provide":[108],"crucial":[110],"advantage":[111],"for":[112,153],"crowded":[113],"cities":[114],"such":[115],"Zhejiang,":[118],"China.":[119],"adoption":[121],"still":[125],"faces":[126],"problems":[127],"due":[128],"to":[129],"restricted":[131],"carrying":[132],"weight":[133,194],"capabilities":[134],"alongside":[135],"higher":[137],"expenses.":[139],"show":[142],"drones":[144,173],"generate":[145],"better":[146],"conditions":[149],"are":[150],"condusive":[151],"specifically":[152],"distributing":[154],"small":[155],"packages.":[156],"Originality/value":[157],"slope-intercept":[163],"form":[164],"resolution":[167],"coefficient.":[168],"deliver":[174],"advantages":[176],"speed-based":[178],"shipment":[179],"streamlining":[182],"yet":[183],"deployment":[185],"requirements":[186],"evaluation":[187],"must":[188],"incorporate":[189],"both":[190],"operational":[191],"expenses":[192],"capacity":[195],"boundaries.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}