{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T19:34:40Z","timestamp":1774380880235,"version":"3.50.1"},"reference-count":50,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2020,3,8]],"date-time":"2020-03-08T00:00:00Z","timestamp":1583625600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IMDS"],"published-print":{"date-parts":[[2020,3,8]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>Considering the varied and dynamic workload of vessel traffic service (VTS) operators, design an adaptive rotating shift solution to prevent them from getting tired while ensuring continuous high-quality services and finally guarantee a benign maritime traffic environment.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The problem of rotating shift in VTS and its influencing factors are analyzed first, then the framework of automatic identification system (AIS) data analytics is proposed, as well as the data model to extract spatial\u2013temporal information. Besides,<jats:italic>K<\/jats:italic>-means-based anomaly detection method is adjusted to generate anomaly-free data, with which the traffic trend analysis and prediction are made. Based on this knowledge, strategies and methods for adaptive rotating shift design are worked out.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>In VTS, vessel number and speed are identified as two most crucial factors influencing operators' workload. Based on the two factors, the proposed data model is verified to be effective on reducing data size and improving data processing efficiency. Besides, the<jats:italic>K<\/jats:italic>-means-based anomaly detection method could provide stable results, and the work shift pattern planning algorithm could efficiently generate acceptable solutions based on maritime traffic information.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This is a pioneer work on utilizing maritime traffic data to facilitate the operation management in VTS, which provides a new direction to improve their daily management. Besides, a systematic data-driven solution for adaptive rotating shift is proposed, including knowledge discovery method and decision-making algorithm for adaptive rotating shift design. The technical framework is flexible and can be extended for managing other activities in VTS or adapted in diverse fields.<\/jats:p><\/jats:sec>","DOI":"10.1108\/imds-01-2019-0056","type":"journal-article","created":{"date-parts":[[2020,3,9]],"date-time":"2020-03-09T08:56:07Z","timestamp":1583744167000},"page":"749-767","source":"Crossref","is-referenced-by-count":13,"title":["AIS data analytics for adaptive rotating shift in vessel traffic service"],"prefix":"10.1108","volume":"120","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9537-9006","authenticated-orcid":false,"given":"Gangyan","family":"Xu","sequence":"first","affiliation":[]},{"given":"Chun-Hsien","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Fan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xuan","family":"Qiu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"24","key":"key2020040107003969100_ref001","doi-asserted-by":"crossref","first-page":"7467","DOI":"10.1080\/00207543.2011.653452","article-title":"A method to design job rotation schedules to prevent work-related musculoskeletal disorders in repetitive work","volume":"50","year":"2012","journal-title":"International Journal of Production Research"},{"issue":"4","key":"key2020040107003969100_ref002","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1109\/TITS.2016.2591321","article-title":"Enhancing automatic maritime surveillance systems with visual information","volume":"18","year":"2017","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"3","key":"key2020040107003969100_ref003","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1080\/00207543.2018.1497816","article-title":"A model for rest allowance estimation to improve tasks assignment to operators","volume":"57","year":"2019","journal-title":"International Journal of Production Research"},{"issue":"6","key":"key2020040107003969100_ref004","doi-asserted-by":"crossref","first-page":"2742","DOI":"10.1016\/j.eswa.2013.09.042","article-title":"Knowledge discovery using genetic algorithm for maritime situational awareness","volume":"41","year":"2014","journal-title":"Expert Systems with Applications"},{"issue":"4558","key":"key2020040107003969100_ref005","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1126\/science.7089576","article-title":"Rotating shift work schedules that disrupt sleep are improved by applying circadian principles","volume":"217","year":"1982","journal-title":"Science"},{"issue":"3","key":"key2020040107003969100_ref006","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1093\/ije\/dyn360","article-title":"Rotating shift work and the metabolic syndrome: a prospective study","volume":"38","year":"2009","journal-title":"International Journal of Epidemiology"},{"key":"key2020040107003969100_ref007","volume-title":"Vessel Traffic Service Watchstander Performance in Routine Operations (No. TSC-USCG-79-5)","year":"1979"},{"issue":"4","key":"key2020040107003969100_ref008","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/TEM.2017.2712606","article-title":"A new methodology for mining frequent itemsets on temporal data","volume":"64","year":"2017","journal-title":"IEEE Transactions on Engineering Management"},{"issue":"17","key":"key2020040107003969100_ref009","doi-asserted-by":"crossref","first-page":"5186","DOI":"10.1016\/j.apm.2015.03.038","article-title":"Modelling worker reliability with learning and fatigue","volume":"39","year":"2015","journal-title":"Applied Mathematical Modelling"},{"issue":"1","key":"key2020040107003969100_ref010","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1023\/A:1009726021843","article-title":"Data cube: a relational aggregation operator generalizing group-by, cross-tab, and sub-totals","volume":"1","year":"1997","journal-title":"Data Mining and Knowledge Discovery"},{"key":"key2020040107003969100_ref011","volume-title":"IMO Guidelines for Vessel Traffic Services","author":"IMO","year":"1997"},{"key":"key2020040107003969100_ref012","volume-title":"Guidelines for the Installation of a Shipborne Automatic Identification System (AIS)","author":"IMO","year":"2003"},{"issue":"1","key":"key2020040107003969100_ref013","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.cie.2010.03.001","article-title":"Modelling worker fatigue and recovery in dual-resource constrained systems","volume":"59","year":"2010","journal-title":"Computers and Industrial Engineering"},{"issue":"12-13","key":"key2020040107003969100_ref014","doi-asserted-by":"crossref","first-page":"7287","DOI":"10.1016\/j.apm.2013.02.028","article-title":"Incorporating human fatigue and recovery into the learning\u2013forgetting process","volume":"37","year":"2013","journal-title":"Applied Mathematical Modelling"},{"issue":"1","key":"key2020040107003969100_ref015","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1017\/S0373463307003980","article-title":"A fuzzy logic method for collision avoidance in vessel traffic service","volume":"60","year":"2007","journal-title":"Journal of Navigation"},{"issue":"5","key":"key2020040107003969100_ref016","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1108\/IMDS-06-2016-0195","article-title":"Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data","volume":"117","year":"2017","journal-title":"Industrial Management and Data Systems"},{"issue":"2","key":"key2020040107003969100_ref017","first-page":"145","article-title":"Mental workload of the VTS operators by utilising heart rate","volume":"1","year":"2007","journal-title":"TransNav, International Journal on Marine Navigation and Safety of Sea Transportation"},{"issue":"1","key":"key2020040107003969100_ref051","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1017\/S0373463319000547","article-title":"A user requirement-driven approach incorporating TRIZ and QFD for designing a smart vessel alarm system to reduce alarm fatigue","volume":"73","year":"2020","journal-title":"The Journal of Navigation"},{"key":"key2020040107003969100_ref019","article-title":"Proactive mental fatigue detection of traffic control operators using bagged trees and gaze-bin analysis","volume":"42","year":"2019","journal-title":"Advanced Engineering Informatics"},{"issue":"9","key":"key2020040107003969100_ref020","doi-asserted-by":"crossref","first-page":"1906","DOI":"10.1108\/IMDS-11-2016-0489","article-title":"IoT-based tracking and tracing platform for prepackaged food supply chain","volume":"117","year":"2017","journal-title":"Industrial Management and Data Systems"},{"key":"key2020040107003969100_ref021","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.cie.2018.02.035","article-title":"A multi-skilled worker assignment problem in seru production systems considering the worker heterogeneity","volume":"118","year":"2018","journal-title":"Computers and Industrial Engineering"},{"issue":"3","key":"key2020040107003969100_ref022","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.cirpj.2010.03.009","article-title":"Dynamic job rotation for workload balancing in human based assembly systems","volume":"2","year":"2010","journal-title":"CIRP Journal of Manufacturing Science and Technology"},{"issue":"3","key":"key2020040107003969100_ref023","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1109\/TVCG.2017.2671341","article-title":"TOPKUBE: a rank-aware data cube for real-time exploration of spatiotemporal data","volume":"24","year":"2018","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"key2020040107003969100_ref024","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.ijpe.2015.06.017","article-title":"Productivity and ergonomic risk in human based production systems: a job-rotation scheduling model","volume":"171","year":"2016","journal-title":"International Journal of Production Economics"},{"issue":"6","key":"key2020040107003969100_ref025","article-title":"Mapping fishing effort through AIS data","volume":"10","year":"2015","journal-title":"PLoS One"},{"issue":"3","key":"key2020040107003969100_ref026","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1007\/s00291-012-0291-6","article-title":"Reducing ergonomic risks by job rotation scheduling","volume":"35","year":"2013","journal-title":"OR Spectrum"},{"key":"key2020040107003969100_ref027","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.cie.2017.04.011","article-title":"Reducing physical ergonomic risks at assembly lines by line balancing and job rotation: a survey","volume":"111","year":"2017","journal-title":"Computers and Industrial Engineering"},{"issue":"6","key":"key2020040107003969100_ref028","doi-asserted-by":"crossref","first-page":"2218","DOI":"10.3390\/e15062218","article-title":"Vessel pattern knowledge discovery from AIS data: a framework for anomaly detection and route prediction","volume":"15","year":"2013","journal-title":"Entropy"},{"issue":"4","key":"key2020040107003969100_ref029","doi-asserted-by":"crossref","first-page":"2058","DOI":"10.1109\/TII.2017.2650206","article-title":"Big data analytics for user-activity analysis and user-anomaly detection in mobile wireless network","volume":"13","year":"2017","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"key2020040107003969100_ref030","volume-title":"Vessel Traffic Service (VTS): A Maritime Information Service or Traffic Control System?: Understanding Everyday Performance and Resilience in a Socio-Technical System under Change","year":"2014"},{"issue":"4","key":"key2020040107003969100_ref031","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1177\/1555343414560022","article-title":"Control and resilience within the maritime traffic management domain","volume":"8","year":"2014","journal-title":"Journal of Cognitive Engineering and Decision Making"},{"issue":"8","key":"key2020040107003969100_ref032","doi-asserted-by":"crossref","first-page":"2123","DOI":"10.1109\/TITS.2015.2513411","article-title":"Short-term traffic prediction based on dynamic tensor completion","volume":"17","year":"2016","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"2","key":"key2020040107003969100_ref033","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1109\/JOE.2016.2583798","article-title":"Parametric analysis of ship noise spectra","volume":"42","year":"2017","journal-title":"IEEE Journal of Oceanic Engineering"},{"issue":"7","key":"key2020040107003969100_ref034","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1108\/IMDS-09-2017-0384","article-title":"An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks","volume":"118","year":"2018","journal-title":"Industrial Management and Data Systems"},{"issue":"1","key":"key2020040107003969100_ref035","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/00140139.2015.1052020","article-title":"Systematic review of the relationship between quick returns in rotating shift work and health-related outcomes","volume":"59","year":"2016","journal-title":"Ergonomics"},{"issue":"3","key":"key2020040107003969100_ref052","first-page":"432","article-title":"The effect of traffic complexity on the development of near misses on the North Sea","volume":"47","year":"2015","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"issue":"1-2","key":"key2020040107003969100_ref036","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1007\/BF01179780","article-title":"Measurement of vessel traffic service operator performance","volume":"12","year":"1998","journal-title":"AI and Society"},{"key":"key2020040107003969100_ref037","volume-title":"Assessing Vessel Traffic Service Operator Situation Awareness","year":"2010"},{"issue":"5","key":"key2020040107003969100_ref038","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1108\/IMDS-07-2017-0303","article-title":"Cross-trained worker assignment and comparative analysis on throughput of divisional and rotating seru","volume":"118","year":"2018","journal-title":"Industrial Management and Data Systems"},{"issue":"11","key":"key2020040107003969100_ref039","doi-asserted-by":"crossref","first-page":"3122","DOI":"10.1109\/TITS.2017.2681810","article-title":"Maritime traffic probabilistic forecasting based on vessels' waterway patterns and motion behaviors","volume":"18","year":"2017","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"key2020040107003969100_ref040","first-page":"829","article-title":"Toward resilient vessel traffic service: a sociotechnical perspective","volume":"5","year":"2017","journal-title":"Transdisciplinary Engineering: A Paradigm Shift"},{"issue":"3","key":"key2020040107003969100_ref041","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/j.aei.2015.01.006","article-title":"Cloud asset for urban flood control","volume":"29","year":"2015","journal-title":"Advanced Engineering Informatics"},{"issue":"6","key":"key2020040107003969100_ref042","doi-asserted-by":"crossref","first-page":"1827","DOI":"10.1109\/TITS.2017.2740438","article-title":"Data-driven resilient fleet management for cloud asset-enabled urban flood control","volume":"19","year":"2018","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"key2020040107003969100_ref043","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.aei.2019.03.001","article-title":"Data-driven operational risk analysis in e-commerce logistics","volume":"40","year":"2019","journal-title":"Advanced Engineering Informatics"},{"key":"key2020040107003969100_ref044","doi-asserted-by":"crossref","first-page":"24224","DOI":"10.1109\/ACCESS.2018.2830415","article-title":"RMapCS: radio map construction from crowdsourced samples for indoor localization","volume":"6","year":"2018","journal-title":"IEEE Access"},{"key":"key2020040107003969100_ref045","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.apergo.2016.01.011","article-title":"A model for developing job rotation schedules that eliminate sequential high workloads and minimize between-worker variability in cumulative daily workloads: application to automotive assembly lines","volume":"55","year":"2016","journal-title":"Applied Ergonomics"},{"key":"key2020040107003969100_ref046","volume-title":"Deep spatio-temporal residual networks for citywide crowd flows prediction","year":"2017,"},{"key":"key2020040107003969100_ref047","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.oceaneng.2015.07.046","article-title":"A method for detecting possible near miss ship collisions from AIS data","volume":"107","year":"2015","journal-title":"Ocean Engineering"},{"key":"key2020040107003969100_ref048","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.ijpe.2015.02.014","article-title":"A big data approach for logistics trajectory discovery from RFID-enabled production data","volume":"165","year":"2015","journal-title":"International Journal of Production Economics"},{"issue":"9","key":"key2020040107003969100_ref049","doi-asserted-by":"crossref","first-page":"1779","DOI":"10.1108\/IMDS-06-2017-0269","article-title":"Data-driven food supply chain management and systems","volume":"117","year":"2017","journal-title":"Industrial Management and Data Systems"}],"container-title":["Industrial Management &amp; Data Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-01-2019-0056\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-01-2019-0056\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:51:02Z","timestamp":1753393862000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/imds\/article\/120\/4\/749-767\/175221"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,8]]},"references-count":50,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,3,8]]}},"alternative-id":["10.1108\/IMDS-01-2019-0056"],"URL":"https:\/\/doi.org\/10.1108\/imds-01-2019-0056","relation":{},"ISSN":["0263-5577"],"issn-type":[{"value":"0263-5577","type":"print"}],"subject":[],"published":{"date-parts":[[2020,3,8]]}}}