Abstract
Crowdsourcing is becoming essential to facilitate disaster management. It can help to gather or check information and delegate collective physical tasks (alerting, rescuing, sheltering, food distribution…) to volunteers. In this context, the management of volunteers, with possible uncertain behavior, cannot be improvised, for both security and efficiency reasons. Therefore, it is necessary to provide officials with tools to anticipate and prepare coordination with volunteers. For that purpose, this paper proposes a geospatial agent-based simulator to visualize, measure and analyze the influence of crowdsourcing in natural disasters management. More precisely, this tool allows the authorities to visualize a crisis situation (actors, environment) and its evolution throughout time and space, improve their situation awareness and explore several what-if scenarios so as to ease coordination with official responders. Moreover, task assignment is implemented according to the contract net protocol to select the volunteers according to their variable characteristics: availabilities, positions, skills… This paper describes the design and implementation of this simulator, which is based on a conceptual model representing the environment, agents’ behaviors and their interactions. We also demonstrate its use through a real-world case study based on a flood that took place in 2018 in Trèbes, a French town. We demonstrate with quantitative indicators the positive impacts of crowdsourcing on this crisis management. This simulator could be easily reused for other natural disaster situations.
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References
Poblet, M., García-Cuesta, E., Casanovas, P.: Crowdsourcing roles, methods and tools for data-intensive disaster management. Inf. Syst. Front. 20(6), 1363–1379 (2017). https://doi.org/10.1007/s10796-017-9734-6
Middelhoff, M., et al.: Crowdsourcing and crowdtasking in crisis management: lessons learned from a field experiment simulating a flooding in the city of the Hague. In: 3rd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) Proceedings. IEEE (2016)
FIPA: FIPA Contract Net Interaction Protocol Specification. Foundation for Intelligent Physical Agents (2002). http://www.fipa.org/specs/fipa00029/
Taillandier, P., et al.: Building, composing and experimenting complex spatial models with the GAMA platform. GeoInformatica 23(2), 299–322 (2018). https://doi.org/10.1007/s10707-018-00339-6
Schimak, G., Havlik, D., Pielorz, J.: Crowdsourcing in crisis and disaster management – challenges and considerations. In: Denzer, R., Argent, R.M., Schimak, G., Hřebíček, J. (eds.) ISESS 2015, vol. 448, pp. 56–70. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-15994-2_5
Batard, R., et al.: Integrating citizen initiatives in a technological platform for collaborative crisis management. In: ISCRAM 2019 Conference Proceedings, pp 1346–1356 (2019)
Tong, Y., Zhou, Z., Zeng, Y., Chen, L., Shahabi, C.: Spatial crowdsourcing: a survey. VLDB J. 29(1), 217–250 (2019). https://doi.org/10.1007/s00778-019-00568-7
Roy, S.B., et al.: Crowds, not drones: modeling human factors in interactive crowdsourcing. In: DBCrowd 2013 Workshop, pp. 39–42. CEUR-WS (2013)
Le, N.-T.-T., Nguyen, P.-A.-H.-C., Hanachi, C.: Agent-based modeling and simulation of citizens sheltering during a Tsunami: application to Da Nang City in Vietnam. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds.) ICCCI 2021. CCIS, vol. 1463, pp. 199–211. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-88113-9_16
Mancheva, L., Adam, C., Dugdale, J.: Multi-agent geospatial simulation of human interactions and behaviour in bushfires. In: ISCRAM Conference Proceedings, pp. 352–366 (2019)
Smith, R.G.: The contract net protocol: high-level communication and control in a distributed problem solver. IEEE Trans. Comput. 29(12), 1104–1113 (1980)
Feinberg, C., Malur, A.: Modeling spontaneous volunteer convergence using agent-based simulation. In: IISE Annual Conference Proceedings (2020)
Lindner, S., Betke, H., Sackmann, S.: Attributes for simulating spontaneous on-site volunteers. In: ISCRAM Conference Proceedings (2017)
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This work was carried out as part of the CRIZ’INNOV project.
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Richa, A., Hanachi, C., Stolf, P. (2023). Simulating and Analyzing Crowdsourcing Impacts in Flood Management: A Geo-spatial Agent-Based Approach. In: Indulska, M., Reinhartz-Berger, I., Cetina, C., Pastor, O. (eds) Advanced Information Systems Engineering. CAiSE 2023. Lecture Notes in Computer Science, vol 13901. Springer, Cham. https://doi.org/10.1007/978-3-031-34560-9_7
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