{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:10:27Z","timestamp":1757617827525,"version":"3.44.0"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031873447"},{"type":"electronic","value":"9783031873454"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-87345-4_11","type":"book-chapter","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T00:33:44Z","timestamp":1745800424000},"page":"150-166","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AKRIMA - An Automated Adaptive System for\u00a0Crisis Monitoring and\u00a0Management"],"prefix":"10.1007","author":[{"given":"Annegret","family":"Janzso","sequence":"first","affiliation":[]},{"given":"David","family":"Kaub","sequence":"additional","affiliation":[]},{"given":"Philipp","family":"Fl\u00fcgger","sequence":"additional","affiliation":[]},{"given":"Krzysztof Marek","family":"Graca","sequence":"additional","affiliation":[]},{"given":"Veronika","family":"Kurchyna","sequence":"additional","affiliation":[]},{"given":"Patrick","family":"Mertes","sequence":"additional","affiliation":[]},{"given":"Nhat","family":"Tran","sequence":"additional","affiliation":[]},{"given":"Jan Ole","family":"Berndt","sequence":"additional","affiliation":[]},{"given":"Ingo","family":"Timm","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,29]]},"reference":[{"key":"11_CR1","unstructured":"Aeronautiques, C., et al.: Pddl| the planning domain definition language. Technical report(1998)"},{"key":"11_CR2","doi-asserted-by":"publisher","first-page":"706721","DOI":"10.3389\/fsufs.2021.706721","volume":"5","author":"RA Atanga","year":"2021","unstructured":"Atanga, R.A., Tankpa, V.: Climate change, flood disaster risk and food security nexus in Northern Ghana. Front. Sustain. Food Syst. 5, 706721 (2021)","journal-title":"Front. Sustain. Food Syst."},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Axelrod, R.: Advancing the art of simulation in the social sciences. In: Simulating Social Phenomena, pp. 21\u201340. Springer (1997)","DOI":"10.1007\/978-3-662-03366-1_2"},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-94-017-8598-3_2","volume-title":"Reducing Disaster: Early Warning Systems For Climate Change","author":"S Banholzer","year":"2014","unstructured":"Banholzer, S., Kossin, J., Donner, S.: The impact of climate change on natural disasters. In: Zommers, Z., Singh, A. (eds.) Reducing Disaster: Early Warning Systems For Climate Change, pp. 21\u201349. Springer, Dordrecht (2014). https:\/\/doi.org\/10.1007\/978-94-017-8598-3_2"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Barry, P., Koehler, M.: Simulation in context; using data farming for decision support. In: Proceedings of the 2004 Winter Simulation Conference, 2004, vol.\u00a01. IEEE (2004)","DOI":"10.1109\/WSC.2004.1371394"},{"key":"11_CR6","unstructured":"Booth, W.: A chilling scientific paper helped upend US and UK coronavirus strategies. Wash. Post 17 (2020)"},{"key":"11_CR7","unstructured":"Bortz, M., Burger, M., Fiedler, J., Gramsch, S., Leith\u00e4user, N., Mohring, J.: Epidemiologie-modellierung, simulation und entscheidungsunterst\u00fctzung f\u00fcr lokale entscheidungstr\u00e4ger. Whitepaper, Fraunhofer-Institut f\u00fcr Techno-und Wirtschaftsmathematik ITWM (2020)"},{"key":"11_CR8","doi-asserted-by":"publisher","unstructured":"Buck, D.A., Trainor, J.E., Aguirre, B.E.: A critical evaluation of the incident command system and NIMS. J. Homel. Securi. Emerg. Manage. 3(3) (2006). https:\/\/doi.org\/10.2202\/1547-7355.1252","DOI":"10.2202\/1547-7355.1252"},{"issue":"1","key":"11_CR9","doi-asserted-by":"publisher","first-page":"5710","DOI":"10.1038\/s41467-020-19393-6","volume":"11","author":"SL Chang","year":"2020","unstructured":"Chang, S.L., Harding, N., Zachreson, C., Cliff, O.M., Prokopenko, M.: Modelling transmission and control of the COVID-19 pandemic in Australia. Nat. Commun. 11(1), 5710 (2020)","journal-title":"Nat. Commun."},{"key":"11_CR10","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/j.insmatheco.2021.08.001","volume":"101","author":"X Chen","year":"2021","unstructured":"Chen, X., Chong, W.F., Feng, R., Zhang, L.: Pandemic risk management: resources contingency planning and allocation. Insur. Math. Econ. 101, 359\u2013383 (2021)","journal-title":"Insur. Math. Econ."},{"issue":"1","key":"11_CR11","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1146\/annurev-publhealth-012420-105026","volume":"42","author":"KL Ebi","year":"2021","unstructured":"Ebi, K.L., et al.: Extreme weather and climate change: population health and health system implications. Annu. Rev. Public Health 42(1), 293\u2013315 (2021)","journal-title":"Annu. Rev. Public Health"},{"key":"11_CR12","unstructured":"Groth, M., Bender, S., W\u00fcbbelmann, T.: The current use and limitations of water related digital twins\u2013a practical view on urban climate change adaptation. In: KEEP ON PLANNING FOR THE REAL WORLD. Climate Change calls for Nature-based Solutions and Smart Technologies. Proceedings of REAL CORP 2024, 29th International Conference on Urban Development, Regional Planning and Information Society, pp. 605\u2013616. CORP\u2013Competence Center of Urban and Regional Planning (2024)"},{"key":"11_CR13","unstructured":"Gumble, H.: Creating a raster agent-based modelling environment from volunteered geographic information. In: 29th Annual GIS Research UK Conference (GISRUK), Cardiff, Wales, UK (Online) (2021)"},{"key":"11_CR14","series-title":"Synthesis Lectures on Artificial Intelligence and Machine Learning","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01584-7","volume-title":"An Introduction to the Planning Domain Definition Language","author":"P Haslum","year":"2019","unstructured":"Haslum, P., Lipovetzky, N., Magazzeni, D., Muise, C.: An Introduction to the Planning Domain Definition Language. Synthesis Lectures on Artificial Intelligence and Machine Learning, Springer, Cham (2019)"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Horne, G.E., Meyer, T.E.: Data farming: Discovering surprise. In: Proceedings of the 2004 Winter Simulation Conference, 2004, vol.\u00a01. IEEE (2004)","DOI":"10.1109\/WSC.2004.1371393"},{"issue":"14","key":"11_CR16","doi-asserted-by":"publisher","first-page":"2098","DOI":"10.3390\/foods11142098","volume":"11","author":"S Jagtap","year":"2022","unstructured":"Jagtap, S., et al.: The Russia-Ukraine conflict: its implications for the global food supply chains. Foods 11(14), 2098 (2022)","journal-title":"Foods"},{"key":"11_CR17","doi-asserted-by":"publisher","unstructured":"Jordahl, K., et al.: geopandas\/geopandas: v0.8.1 (2020). https:\/\/doi.org\/10.5281\/zenodo.3946761","DOI":"10.5281\/zenodo.3946761"},{"key":"11_CR18","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1007\/978-3-031-56826-8_10","volume-title":"Dynamics in Logistics","author":"D Kaub","year":"2024","unstructured":"Kaub, D., et al.: Shortest-path-based resilience analysis of urban road networks. In: Freitag, M., Kinra, A., Kotzab, H., Megow, N. (eds.) Dynamics in Logistics, pp. 132\u2013143. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-56826-8_10"},{"issue":"4598","key":"11_CR19","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671\u2013680 (1983)","journal-title":"Science"},{"key":"11_CR20","unstructured":"Klein, E., Lin, G., Tseng, K., Schueller, E., Kapoor, G., Laxminarayan, R.: COVID-19 for India updates. Economics, and Policy and Johns Hopkins University, USA, Center for Disease Dynamics (2020)"},{"key":"11_CR21","unstructured":"Knake-Langhorst, S., Linder, C., Mazzega, J.: Gaia-x 4 ki: Daten-und dienste-\u00f6kosystem f\u00fcr ki-orientierte forschung & entwicklung. ACIMobility Summit, pp. 1\u201310 (2021)"},{"key":"11_CR22","volume-title":"Simulation Modeling and Analysis","author":"AM Law","year":"2013","unstructured":"Law, A.M.: Simulation Modeling and Analysis, 5th edn. McGraw-Hill Education, New York (2013)","edition":"5"},{"key":"11_CR23","volume-title":"Simulation Modeling and Analysis","author":"AM Law","year":"2007","unstructured":"Law, A.M., Kelton, W.D., Kelton, W.D.: Simulation Modeling and Analysis, vol. 3. Mcgraw-hill, New York (2007)"},{"issue":"31","key":"11_CR24","doi-asserted-by":"publisher","first-page":"4875","DOI":"10.1016\/j.vaccine.2010.05.002","volume":"28","author":"BY Lee","year":"2010","unstructured":"Lee, B.Y., et al.: A computer simulation of vaccine prioritization, allocation, and rationing during the 2009 H1N1 influenza pandemic. Vaccine 28(31), 4875\u20134879 (2010)","journal-title":"Vaccine"},{"key":"11_CR25","doi-asserted-by":"crossref","unstructured":"Lorig, F., Lebherz, D.S., Berndt, J.O., Timm, I.J.: Hypothesis-driven experiment design in computer simulation studies. In: 2017 Winter Simulation Conference (WSC), pp. 1360\u20131371. IEEE (2017)","DOI":"10.1109\/WSC.2017.8247880"},{"key":"11_CR26","series-title":"Transactions on Computational Science and Computational Intelligence","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-030-43981-1_1","volume-title":"Principles of Data Science","author":"F Lorig","year":"2020","unstructured":"Lorig, F., Timm, I.J.: Simulation-based data acquisition. In: Arabnia, H.R., Daimi, K., Stahlbock, R., Soviany, C., Heilig, L., Br\u00fcssau, K. (eds.) Principles of Data Science. TCSCI, pp. 1\u201315. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-43981-1_1"},{"key":"11_CR27","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1023\/B:NHAZ.0000020259.58716.0d","volume":"31","author":"G McBean","year":"2004","unstructured":"McBean, G.: Climate change and extreme weather: a basis for action. Nat. Hazards 31, 177\u2013190 (2004)","journal-title":"Nat. Hazards"},{"key":"11_CR28","first-page":"65","volume":"2021","author":"M Memmel","year":"2021","unstructured":"Memmel, M., Berndt, J.O., Timm, I.: AScore-developing a cockpit for regional pandemic management in Germany with agent-based social simulation. REAL CORP 2021, 65\u201375 (2021)","journal-title":"REAL CORP"},{"issue":"2","key":"11_CR29","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1016\/j.ijforecast.2021.02.009","volume":"38","author":"BH Meyer","year":"2022","unstructured":"Meyer, B.H., Prescott, B., Sheng, X.S.: The impact of the COVID-19 pandemic on business expectations. Int. J. Forecast. 38(2), 529\u2013544 (2022)","journal-title":"Int. J. Forecast."},{"issue":"10","key":"11_CR30","doi-asserted-by":"publisher","first-page":"01","DOI":"10.9790\/3021-031020114","volume":"3","author":"G Odu","year":"2013","unstructured":"Odu, G., Charles-Owaba, O.: Review of multi-criteria optimization methods-theory and applications. IOSR J. Eng. 3(10), 01\u201314 (2013)","journal-title":"IOSR J. Eng."},{"issue":"1","key":"11_CR31","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1111\/jbl.12009","volume":"34","author":"TJ Pettit","year":"2013","unstructured":"Pettit, T.J., Croxton, K.L., Fiksel, J.: Ensuring supply chain resilience: development and implementation of an assessment tool. J. Bus. Logist. 34(1), 46\u201376 (2013)","journal-title":"J. Bus. Logist."},{"issue":"sup1","key":"11_CR32","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1080\/12460125.2020.1768680","volume":"29","author":"G Phillips-Wren","year":"2020","unstructured":"Phillips-Wren, G., Adya, M.: Decision making under stress: the role of information overload, time pressure, complexity, and uncertainty. J. Decis. Syst. 29(sup1), 213\u2013225 (2020)","journal-title":"J. Decis. Syst."},{"key":"11_CR33","series-title":"Simulation Foundations, Methods and Applications","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-319-64182-9_9","volume-title":"Advances in Modeling and Simulation","author":"SM Sanchez","year":"2017","unstructured":"Sanchez, S.M., S\u00e1nchez, P.J.: Better big data via data farming experiments. In: Tolk, A., Fowler, J., Shao, G., Y\u00fccesan, E. (eds.) Advances in Modeling and Simulation. SFMA, pp. 159\u2013179. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-64182-9_9"},{"key":"11_CR34","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/978-3-031-18192-4_45","volume-title":"Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection.","author":"A Schewerda","year":"2022","unstructured":"Schewerda, A., Kurchyna, V., Berndt, J.O., Timm, I.J.: From research to crisis management: multiagent simulation for local governments. In: Dignum, F., Mathieu, P., Corchado, J.M., De La Prieta, F. (eds.) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. LNCS, pp. 507\u2013513. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-18192-4_45"},{"key":"11_CR35","doi-asserted-by":"crossref","unstructured":"Tapp, L., Kurchyna, V., Nogatz, F., Berndt, J.O., Timm, I.J.: School\u2019s out? Simulating schooling strategies during COVID-19. In: International Workshop on Multi-Agent Systems and Agent-Based Simulation, pp. 95\u2013106. Springer, Cham (2022)","DOI":"10.1007\/978-3-031-22947-3_8"},{"key":"11_CR36","unstructured":"Timm, I.J., Berndt, J.O.: Kognitive sozialsimulation f\u00fcr das covid-19-krisenmanagement-social simulation for analysis of infectious disease control (sosad). Technical report Technical report, Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI) (2020)"},{"issue":"3","key":"11_CR37","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1287\/trsc.2019.0971","volume":"54","author":"WJ Van Heeswijk","year":"2020","unstructured":"Van Heeswijk, W.J., Mes, M.R., Schutten, J., Zijm, W.: Evaluating urban logistics schemes using agent-based simulation. Transp. Sci. 54(3), 651\u2013675 (2020)","journal-title":"Transp. Sci."},{"key":"11_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ocecoaman.2023.106868","volume":"245","author":"Z Wan","year":"2023","unstructured":"Wan, Z., Su, Y., Li, Z., Zhang, X., Zhang, Q., Chen, J.: Analysis of the impact of Suez canal blockage on the global shipping network. Ocean Coast. Manag. 245, 106868 (2023)","journal-title":"Ocean Coast. Manag."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Simulation Tools and Techniques"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87345-4_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T12:16:11Z","timestamp":1757160971000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87345-4_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031873447","9783031873454"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87345-4_11","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"29 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SIMUtools","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Simulation Tools and Techniques","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bratislava","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovakia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"simutools2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/simutools.eai-conferences.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}