{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T01:21:56Z","timestamp":1778462516315,"version":"3.51.4"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"5-6","license":[{"start":{"date-parts":[[2019,1,30]],"date-time":"2019-01-30T00:00:00Z","timestamp":1548806400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1007\/s00779-018-01199-5","type":"journal-article","created":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T22:18:59Z","timestamp":1548800339000},"page":"749-764","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Semantic enrichment of spatio-temporal trajectories for worker safety on construction sites"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3682-7002","authenticated-orcid":false,"given":"Muhammad","family":"Arslan","sequence":"first","affiliation":[]},{"given":"Christophe","family":"Cruz","sequence":"additional","affiliation":[]},{"given":"Dominique","family":"Ginhac","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,30]]},"reference":[{"key":"1199_CR1","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/j.ssci.2018.07.019","volume":"111","author":"B Shao","year":"2018","unstructured":"Shao B, Hu Z, Liu Q, Chen S, He W (2018) Fatal accident patterns of building construction activities in China. Saf Sci 111:253\u2013263 (In Press). \nhttps:\/\/doi.org\/10.1016\/j.ssci.2018.07.019","journal-title":"Saf Sci"},{"key":"1199_CR2","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.autcon.2018.03.022","volume":"93","author":"CQ Poh","year":"2018","unstructured":"Poh CQ, Ubeynarayana CU, Goh YM (2018) Safety leading indicators for construction sites: a machine learning approach. Autom Constr 93:375\u2013386. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2018.03.022","journal-title":"Autom Constr"},{"key":"1199_CR3","unstructured":"Stats.bls.gov\n\n. (2017) Census of fatal occupational injuries (CFOI) - current and revised data. \nhttp:\/\/stats.bls.gov\/iif\/oshcfoi1.htm\n\n. Accessed 28 September 2017"},{"key":"1199_CR4","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.autcon.2018.02.018","volume":"91","author":"W Fang","year":"2018","unstructured":"Fang W, Ding L, Luo H, Love PE (2018) Falls from heights: a computer vision-based approach for safety harness detection. Autom Constr 91:53\u201361. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2018.02.018","journal-title":"Autom Constr"},{"key":"1199_CR5","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1016\/j.autcon.2017.07.005","volume":"83","author":"C Zhou","year":"2017","unstructured":"Zhou C, Ding LY (2017) Safety barrier warning system for underground construction sites using internet-of-things technologies. Autom Constr 83:372\u2013389. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2017.07.005","journal-title":"Autom Constr"},{"key":"1199_CR6","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.autcon.2017.04.007","volume":"81","author":"H Li","year":"2017","unstructured":"Li H, Yang X, Skitmore M, Wang F, Forsythe P (2017) Automated classification of construction site hazard zones by crowd-sourced integrated density maps. Autom Constr 81:328\u2013339. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2017.04.007","journal-title":"Autom Constr"},{"key":"1199_CR7","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.autcon.2012.09.004","volume":"29","author":"N Pradhananga","year":"2013","unstructured":"Pradhananga N, Teizer J (2013) Automatic spatio-temporal analysis of construction site equipment operations using GPS data. Autom Constr 29:107\u2013122. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2012.09.004","journal-title":"Autom Constr"},{"key":"1199_CR8","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.autcon.2017.05.002","volume":"82","author":"Y Yu","year":"2017","unstructured":"Yu Y, Guo H, Ding Q, Li H, Skitmore M (2017) An experimental study of real-time identification of construction workers\u2019 unsafe behaviors. Autom Constr 82:193\u2013206. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2017.05.002","journal-title":"Autom Constr"},{"key":"1199_CR9","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.autcon.2016.08.039","volume":"72","author":"MW Park","year":"2016","unstructured":"Park MW, Brilakis I (2016) Continuous localization of construction workers via integration of detection and tracking. Autom Constr 72:129\u2013142. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2016.08.039","journal-title":"Autom Constr"},{"key":"1199_CR10","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.autcon.2015.09.003","volume":"60","author":"J Teizer","year":"2015","unstructured":"Teizer J, Cheng T (2015) Proximity hazard indicator for workers-on-foot near miss interactions with construction equipment and geo-referenced hazard areas. Autom Constr 60:58\u201373. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2015.09.003","journal-title":"Autom Constr"},{"key":"1199_CR11","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.autcon.2017.10.010","volume":"85","author":"I Awolusi","year":"2018","unstructured":"Awolusi I, Marks E, Hallowell M (2018) Wearable technology for personalized construction safety monitoring and trending: review of applicable devices. Autom Constr 85:96\u2013106. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2017.10.010","journal-title":"Autom Constr"},{"issue":"4","key":"1199_CR12","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.aei.2014.07.002","volume":"28","author":"H Cai","year":"2014","unstructured":"Cai H, Andoh AR, Su X, Li S (2014) A boundary condition based algorithm for locating construction site objects using RFID and GPS. Adv Eng Inform 28(4):455\u2013468. \nhttps:\/\/doi.org\/10.1016\/j.aei.2014.07.002","journal-title":"Adv Eng Inform"},{"issue":"3","key":"1199_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2743025","volume":"6","author":"Y Zheng","year":"2015","unstructured":"Zheng Y (2015) Trajectory data mining: an overview. ACM Trans Intell Syst Technol 6(3):1\u201341. \nhttps:\/\/doi.org\/10.1145\/2743025","journal-title":"ACM Trans Intell Syst Technol"},{"key":"1199_CR14","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-3-319-16667-4_4","volume-title":"Lecture Notes in Geoinformation and Cartography","author":"Basma H. Albanna","year":"2015","unstructured":"Albanna BH, Moawad IF, Moussa SM, Sakr MA (2015) Semantic Trajectories: A Survey from Modeling to Application. In: Semantic trajectories: a survey from modeling to application. Information fusion and geographic information systems. Springer International Publishing, pp 59\u201376. \nhttps:\/\/doi.org\/10.1007\/978-3-319-16667-4_4"},{"key":"1199_CR15","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.ssci.2015.01.013","volume":"75","author":"H Li","year":"2015","unstructured":"Li H, Lu M, Hsu SC, Gray M, Huang T (2015) Proactive behavior-based safety management for construction safety improvement. Saf Sci 75:107\u2013117. \nhttps:\/\/doi.org\/10.1016\/j.ssci.2015.01.013","journal-title":"Saf Sci"},{"key":"1199_CR16","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1007\/s00779-015-0855-y","volume":"19","author":"M Baslyman","year":"2015","unstructured":"Baslyman M, Rezaee R, Amyot D, Mouttham A, Chreyh R, Geiger G, Stewart A, Sader S (2015) Real-time and location-based hand hygiene monitoring and notification: proof-of-concept system and experimentation. Pers Ubiquit Comput 19:667\u2013688. \nhttps:\/\/doi.org\/10.1007\/s00779-015-0855-y","journal-title":"Pers Ubiquit Comput"},{"issue":"3","key":"1199_CR17","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/s00779-017-1012-6","volume":"21","author":"U Lopez-Novoa","year":"2017","unstructured":"Lopez-Novoa U, Aguilera U, Emaldi M, L\u00f3pez-de-Ipina D, P\u00e9rez-de-Albeniz I, Valerdi D, Iturricha I, Arza E (2017) Overcrowding detection in indoor events using scalable technologies. Pers Ubiquit Comput 21(3):507\u2013519. \nhttps:\/\/doi.org\/10.1007\/s00779-017-1012-6","journal-title":"Pers Ubiquit Comput"},{"issue":"1","key":"1199_CR18","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.datak.2007.10.008","volume":"65","author":"S Spaccapietra","year":"2008","unstructured":"Spaccapietra S, Parent C, Damiani ML, de Macedo JA, Porto F, Vangenot C (2008) A conceptual view on trajectories. Data Knowl Eng 65(1):126\u2013146. \nhttps:\/\/doi.org\/10.1016\/j.datak.2007.10.008","journal-title":"Data Knowl Eng"},{"issue":"1","key":"1199_CR19","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1108\/SASBE-10-2017-0047","volume":"7","author":"Muhammad Arslan","year":"2018","unstructured":"Arslan M, Cruz C, Roxin AM, Ginhac D (2018) Spatio-temporal analysis of trajectories for safer construction sites. Smart and Sustainable Built Environ 7(1):80\u2013100. \nhttps:\/\/doi.org\/10.1108\/SASBE-10-2017-0047","journal-title":"Smart and Sustainable Built Environment"},{"key":"1199_CR20","first-page":"1","volume-title":"Semantic annotation of GPS trajectories. Proceedings of the eleventh AGILE international conference on geographic information science","author":"B Guc","year":"2008","unstructured":"Guc B, May M, Saygin Y, K\u00f6rner C (2008) Semantic annotation of GPS trajectories. Proceedings of the eleventh AGILE international conference on geographic information science. Girona, Spain, pp 1\u20139"},{"key":"1199_CR21","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/978-3-642-22922-0_22","volume":"6849","author":"Z Yan","year":"2011","unstructured":"Yan Z, Giatrakos N, Katsikaros V, Pelekis N, Theodoridis Y (2011) SeTraStream: semantic-aware trajectory construction over streaming movement data. Advances in spatial and temporal databases. Lect Notes Comput Sci 6849:367\u2013385. \nhttps:\/\/doi.org\/10.1007\/978-3-642-22922-0_22","journal-title":"Lect Notes Comput Sci"},{"key":"1199_CR22","doi-asserted-by":"publisher","unstructured":"Buchin M, Driemel A, Kreveld MV, Sacristan V (2010) An algorithmic framework for segmenting trajectories based on Spatio-Temporal Criteria. Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems New York, NY, USA 202\u2013211. \nhttps:\/\/doi.org\/10.1145\/1869790.1869821","DOI":"10.1145\/1869790.1869821"},{"key":"1199_CR23","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1016\/j.trc.2017.11.021","volume":"86","author":"Sina Dabiri","year":"2018","unstructured":"Dabiri S, Heaslip K (2018) Inferring transportation modes from GPS trajectories using a convolutional neural network. Transportation Res. Part C: Emerg Technol 86:360\u2013371. \nhttps:\/\/doi.org\/10.1016\/j.trc.2017.11.021","journal-title":"Transportation Research Part C: Emerging Technologies"},{"key":"1199_CR24","doi-asserted-by":"publisher","unstructured":"Balzano W, Sorbo MRD (2014) SeTra: a smart framework for GPS trajectories\u2019 segmentation. International Conference on Intelligent Networking and Collaborative Systems Salerno, Italy 362\u2013368. \nhttps:\/\/doi.org\/10.1109\/INCoS.2014.106","DOI":"10.1109\/INCoS.2014.106"},{"key":"1199_CR25","doi-asserted-by":"publisher","unstructured":"Sankararaman S, Agarwal PK, M\u00f8lhave T, Pan J, Boedihardjo AP (2013) Model-driven matching and segmentation of trajectories. Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems New York, NY, USA, pp 234\u2013243. \nhttps:\/\/doi.org\/10.1145\/2525314.2525360","DOI":"10.1145\/2525314.2525360"},{"issue":"7","key":"1199_CR26","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1109\/TKDE.2011.39","volume":"24","author":"C Panagiotakis","year":"2012","unstructured":"Panagiotakis C, Pelekis N, Kopanakis I, Ramasso E, Theodoridis Y (2012) Segmentation and sampling of moving object trajectories based on representativeness. IEEE Trans Knowl Data Eng 24(7):1328\u20131343. \nhttps:\/\/doi.org\/10.1109\/TKDE.2011.39","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1199_CR27","doi-asserted-by":"publisher","unstructured":"Yan Z, Chakraborty D, Parent C, Spaccapietra S, Aberer K (2011) SeMiTri: a framework for semantic annotation of heterogeneous trajectories. Proceedings of the 14th International Conference on Extending Database Technology (EDBT\/ICDT '11), ACM, New York, NY, USA :259\u2013270. \nhttps:\/\/doi.org\/10.1145\/1951365.1951398","DOI":"10.1145\/1951365.1951398"},{"key":"1199_CR28","doi-asserted-by":"publisher","unstructured":"Yan Z (2011) Semantic trajectories: computing and understanding mobility data. Doctoral dissertation. Lausanne, EPFL. \nhttps:\/\/doi.org\/10.5075\/epfl-thesis-5144","DOI":"10.5075\/epfl-thesis-5144"},{"key":"1199_CR29","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1145\/2736277.2741675","volume-title":"Semantic annotation of mobility data using social media. Proceedings of the 24th International Conference on World Wide Web","author":"F Wu","year":"2015","unstructured":"Wu F, Li Z, Lee WC, Wang H, Huang Z (2015) Semantic annotation of mobility data using social media. Proceedings of the 24th International Conference on World Wide Web. Florence, Italy, pp 1253\u20131263. \nhttps:\/\/doi.org\/10.1145\/2736277.2741675"},{"key":"1199_CR30","doi-asserted-by":"publisher","unstructured":"Furletti B, Cintia P, Renso C, Spinsanti L (2013) Inferring human activities from GPS tracks. Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing (UrbComp '13), Chicago, Illinois, USA;1\u20138. \nhttps:\/\/doi.org\/10.1145\/2505821.2505830","DOI":"10.1145\/2505821.2505830"},{"key":"1199_CR31","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/j.eswa.2017.10.004","volume":"92","author":"Tales P. Nogueira","year":"2018","unstructured":"Nogueira TP, Braga RB, de Oliveira CT, Martin H (2018) FrameSTEP: a framework for annotating semantic trajectories based on episodes. J of Expert Systems with Appl 92:533\u2013545. \nhttps:\/\/doi.org\/10.1016\/j.eswa.2017.10.004","journal-title":"Expert Systems with Applications"},{"key":"1199_CR32","doi-asserted-by":"publisher","unstructured":"de Graaff V, de By RA, van Keulen M (2016) Automated semantic trajectory annotation with indoor point-of-interest visits in urban areas. Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC '16), Pisa, Italy: 552\u2013559. \nhttps:\/\/doi.org\/10.1145\/2851613.2851709","DOI":"10.1145\/2851613.2851709"},{"key":"1199_CR33","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.datak.2015.07.010","volume":"98","author":"R Fileto","year":"2015","unstructured":"Fileto R, May C, Renso C, Pelekis N, Klein D, Theodoridis Y (2015) The Baquara2 knowledge-based framework for semantic enrichment and analysis of movement data. Data Knowl Eng 98:104\u2013122. \nhttps:\/\/doi.org\/10.1016\/j.datak.2015.07.010","journal-title":"Data Knowl Eng"},{"key":"1199_CR34","doi-asserted-by":"publisher","unstructured":"Wu F, Wang H, Li Z, Lee WC, Huang Z (2015) SemMobi: a semantic annotation system for mobility data. Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion), Florence, Italy: 255\u2013258. \nhttps:\/\/doi.org\/10.1145\/2740908.2742837","DOI":"10.1145\/2740908.2742837"},{"key":"1199_CR35","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.ins.2017.10.043","volume":"429","author":"C Wan","year":"2018","unstructured":"Wan C, Zhu Y, Yu J, Shen Y (2018) SMOPAT: mining semantic mobility patterns from trajectories of private vehicles. Inf Sci 429:12\u201325. \nhttps:\/\/doi.org\/10.1016\/j.ins.2017.10.043","journal-title":"Inf Sci"},{"issue":"4","key":"1199_CR36","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1080\/01969722.2018.1448236","volume":"49","author":"G Cai","year":"2018","unstructured":"Cai G, Lee K, Lee I (2018) Mining mobility patterns from geotagged photos through semantic trajectory clustering. Cybern Syst 49(4):234\u2013256. \nhttps:\/\/doi.org\/10.1080\/01969722.2018.1448236","journal-title":"Cybern Syst"},{"key":"1199_CR37","volume-title":"Scenarios: the art of strategic conversation","author":"K Heijden","year":"2005","unstructured":"Heijden K (2005) Scenarios: the art of strategic conversation, 2nd edn. John Wiley & Sons, Hoboken","edition":"2"},{"key":"1199_CR38","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1016\/B978-044481862-1.50083-2","volume-title":"Handbook of Human-Computer Interaction","author":"John M. Carroll","year":"1997","unstructured":"Carroll JM (2009) Scenario based design. Handbook of human-computer interaction, 2nd edn. North-Holland, pp 383\u2013406. \nhttps:\/\/doi.org\/10.1016\/B978-044481862-1.50083-2"},{"key":"1199_CR39","unstructured":"Kontakt (2018) \u201cBeacons,\u201d available at:\nhttps:\/\/kontakt.io\/ble-beacons-tags\/\n\n. Last Accessed 05 Dec 2018"},{"key":"1199_CR40","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/978-3-642-20149-3_16","volume-title":"International Conference on Database Systems for Advanced Applications","author":"CT Lu","year":"2011","unstructured":"Lu CT, Lei PR, Peng WC, Su J (2011) A framework of mining semantic regions from trajectories. In: International Conference on Database Systems for Advanced Applications. Springer, Berlin, Heidelberg, pp 193\u2013207. \nhttps:\/\/doi.org\/10.1007\/978-3-642-20149-3_16"},{"issue":"5","key":"1199_CR41","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s00779-003-0240-0","volume":"7","author":"D Ashbrook","year":"2003","unstructured":"Ashbrook D, Starner T (2003) Using GPS to learn significant locations and predict movement across multiple users. Pers Ubiquit Comput 7(5):275\u2013286. \nhttps:\/\/doi.org\/10.1007\/s00779-003-0240-0","journal-title":"Pers Ubiquit Comput"},{"key":"1199_CR42","doi-asserted-by":"publisher","unstructured":"Palma AT, Bogorny V, Kuijpers B, Alvares LO (2008) A clustering-based approach for discovering interesting places in trajectories. Proceedings of the ACM symposium on Applied computing, New York, NY, USA: 863\u2013868. \nhttps:\/\/doi.org\/10.1145\/1363686.1363886","DOI":"10.1145\/1363686.1363886"},{"key":"1199_CR43","doi-asserted-by":"crossref","unstructured":"Cruz C (2017) Semantic trajectory modeling for dynamic built environments, IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp 468\u2013476","DOI":"10.1109\/DSAA.2017.79"},{"key":"1199_CR44","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1007\/978-3-642-41924-9_28","volume-title":"Conceptual Modeling","author":"Renato Fileto","year":"2013","unstructured":"Fileto R, Kr\u00fcger M, Pelekis N, Theodoridis Y, Renso C (2013) Baquara: a holistic ontological framework for movement analysis using linked data. International Conference on Conceptual Modeling, Springer, Berlin, Heidelberg, pp 342\u2013355"},{"issue":"1","key":"1199_CR45","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1111\/tgis.12011","volume":"18","author":"V Bogorny","year":"2014","unstructured":"Bogorny V, Renso C, de Aquino AR, de Lucca Siqueira F, Alvares LO (2014) Constant\u2013a conceptual data model for semantic trajectories of moving objects. Trans GIS 18(1):66\u201388","journal-title":"Trans GIS"},{"key":"1199_CR46","volume-title":"A semantic modeling of moving objects data to detect the remarkable behavior","author":"MS Mohammadi","year":"2017","unstructured":"Mohammadi MS, Isabelle M, Th\u00e9r\u00e8se L, Christophe F (2017) A semantic modeling of moving objects data to detect the remarkable behavior. AGILE, Wageningen"},{"key":"1199_CR47","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/978-3-642-13486-9_5","volume-title":"Lecture Notes in Computer Science","author":"Zhixian Yan","year":"2010","unstructured":"Yan Z, Parent C, Spaccapietra S, Chakraborty D (2010) A hybrid model and computing platform for spatio-semantic trajectories. Extended Semantic Web Conference: 60\u201375, Springer, Berlin, Heidelberg. \nhttps:\/\/doi.org\/10.1007\/978-3-642-13486-9_5"},{"key":"1199_CR48","doi-asserted-by":"publisher","unstructured":"Zhang S, Teizer J, Pradhanang N (2015) Global positioning system data to model and visualize workspace density in construction safety planning. Proceedings of the 32nd International Symposium on Automation and Robotics in Construction, Oulu, Finland, pp 1\u20137. \nhttps:\/\/doi.org\/10.22260\/ISARC2015\/0041","DOI":"10.22260\/ISARC2015\/0041"},{"issue":"29","key":"1199_CR49","first-page":"495","volume":"20","author":"AM Costin","year":"2015","unstructured":"Costin AM, Teizer J, Schoner B (2015) RFID and BIM-enabled worker location tracking to support real-time building protocol and data visualization. Journal of Information Technology in Construction (ITcon) 20(29):495\u2013517 \nhttp:\/\/www.itcon.org\/2015\/29","journal-title":"Journal of Information Technology in Construction (ITcon)"},{"key":"1199_CR50","doi-asserted-by":"publisher","unstructured":"Mahmoud H, Akkari N (2016) Shortest path calculation: a comparative study for location-based recommender system. World Symposium on Computer Applications & Research (WSCAR), Cairo, pp 1\u20135. \nhttps:\/\/doi.org\/10.1109\/WSCAR.2016.16","DOI":"10.1109\/WSCAR.2016.16"},{"key":"1199_CR51","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.ssci.2015.12.004","volume":"84","author":"L Heng","year":"2016","unstructured":"Heng L, Shuang D, Skitmore M, Qinghua H, Qin Y (2016) Intrusion warning and assessment method for site safety enhancement. Saf Sci 84:97\u2013107. \nhttps:\/\/doi.org\/10.1016\/j.ssci.2015.12.004","journal-title":"Saf Sci"},{"issue":"6","key":"1199_CR52","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1016\/j.autcon.2011.04.019","volume":"20","author":"A Carbonari","year":"2011","unstructured":"Carbonari A, Giretti A, Naticchia B (2011) A proactive system for real-time safety management in construction sites. Autom Constr 20(6):686\u2013698. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2011.04.019","journal-title":"Autom Constr"},{"key":"1199_CR53","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.procs.2018.04.039","volume":"130","author":"M Arslan","year":"2018","unstructured":"Arslan M, Cruz C, Ginhac D (2018) Semantic enrichment of spatio-temporal trajectories for worker safety on construction sites. Procedia Computer Science 130:271\u2013278. \nhttps:\/\/doi.org\/10.1016\/j.procs.2018.04.039","journal-title":"Procedia Computer Science"},{"key":"1199_CR54","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.autcon.2014.05.010","volume":"45","author":"Z Riaz","year":"2014","unstructured":"Riaz Z, Arslan M, Kiani AK, Azhar S (2014) CoSMoS: a BIM and wireless sensor based integrated solution for worker safety in confined spaces. Autom Constr 45:96\u2013106. \nhttps:\/\/doi.org\/10.1016\/j.autcon.2014.05.010","journal-title":"Autom Constr"},{"key":"1199_CR55","unstructured":"Autodesk (2018) [online] Available at: \nhttp:\/\/paulaubin.com\/_downloads\/2017_AU\/BIM128338-Aubin-AU2017.pdf\n\n. Accessed 13 Sep 2018"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00779-018-01199-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-018-01199-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-018-01199-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,29]],"date-time":"2020-01-29T19:15:47Z","timestamp":1580325347000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00779-018-01199-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,30]]},"references-count":55,"journal-issue":{"issue":"5-6","published-print":{"date-parts":[[2019,11]]}},"alternative-id":["1199"],"URL":"https:\/\/doi.org\/10.1007\/s00779-018-01199-5","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"value":"1617-4909","type":"print"},{"value":"1617-4917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,30]]},"assertion":[{"value":"15 August 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 December 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}