001034628 001__ 1034628
001034628 005__ 20250310131237.0
001034628 0247_ $$2doi$$a10.1016/j.ssci.2024.106759
001034628 0247_ $$2ISSN$$a0925-7535
001034628 0247_ $$2ISSN$$a1879-1042
001034628 0247_ $$2WOS$$aWOS:001411488500001
001034628 037__ $$aFZJ-2024-07389
001034628 082__ $$a610
001034628 1001_ $$0P:(DE-HGF)0$$aCorbetta, Alessandro$$b0
001034628 245__ $$aPedestrian and Evacuation Dynamics 2023
001034628 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2025
001034628 3367_ $$2DRIVER$$aarticle
001034628 3367_ $$2DataCite$$aOutput Types/Journal article
001034628 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1738238289_25129
001034628 3367_ $$2BibTeX$$aARTICLE
001034628 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001034628 3367_ $$00$$2EndNote$$aJournal Article
001034628 520__ $$aEditorial: The Pedestrian and Evacuation Dynamics (PED) conference is a successful bi-annual series that with its 2023 instalment reached its 11th edition. PED2023 has been hosted by the Crowdflow research group at Eindhoven University of Technology (The Netherlands) and has been a meeting point of more than 40 groups worldwide. This virtual special Issue proposes a selection of the papers submitted to the conference with a focus on safety.
001034628 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001034628 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001034628 7001_ $$0P:(DE-HGF)0$$aRonchi, Enrico$$b1
001034628 7001_ $$0P:(DE-Juel1)132077$$aChraibi, Mohcine$$b2$$ufzj
001034628 7001_ $$0P:(DE-HGF)0$$aToschi, Federico$$b3
001034628 773__ $$0PERI:(DE-600)2021100-4$$a10.1016/j.ssci.2024.106759$$gp. 106759 -$$p106759$$tSafety science$$v184$$x0925-7535$$y2025
001034628 8564_ $$uhttps://juser.fz-juelich.de/record/1034628/files/1-s2.0-S0925753524003497-main.pdf$$yRestricted
001034628 909CO $$ooai:juser.fz-juelich.de:1034628$$pVDB
001034628 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132077$$aForschungszentrum Jülich$$b2$$kFZJ
001034628 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001034628 9141_ $$y2025
001034628 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-10-22
001034628 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-10-22
001034628 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2025-01-01$$wger
001034628 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bSAFETY SCI : 2022$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2025-01-01
001034628 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bSAFETY SCI : 2022$$d2025-01-01
001034628 920__ $$lyes
001034628 9201_ $$0I:(DE-Juel1)IAS-7-20180321$$kIAS-7$$lZivile Sicherheitsforschung$$x0
001034628 980__ $$ajournal
001034628 980__ $$aVDB
001034628 980__ $$aI:(DE-Juel1)IAS-7-20180321
001034628 980__ $$aUNRESTRICTED