Abstract
Urban flooding is a common occurrence these days due to many reasons. Providing timely and adequate help to the victims is challenging. Enlisting the citizens to help themselves using their smartphones to provide real-time status updates and ensure timely delivery of needed help is a winning proposition. This paper describes a novel crowd-sourcing approach to urban flood management addressing the inherent challenges using smartphone applications and services that can be deployed by a variety of entities – government agencies, NGOs, social networks, etc. It enables sharing of real time information on the status of flooding, rescue and relief requests and responses, etc. It also collects data from various smartphone sensors in the background which is analyzed and synthesized to track the location and movement of people and to assess the integrity of structures such as bridges. It can also be a valuable resource for future city planning.
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References
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Acknowledgments
This project is part of an Indo-German collaborative research program in civil security and is partly funded by Department of Science and Technology, Government of India and Federal Ministry of Education and Research, Germany. The project name is “Vulnerability of Transportation Structures, Warning and Evacuation in Case of Major Inland Flooding” with the acronym, FloodEvac. Several German and Indian educational institutions and relief agencies are involved in this program.
We would also like to acknowledge the support and encouragement from Amrita University, especially the Chancellor, Mata Amritanandamayi Devi, popularly known as Amma, for this project.
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Guntha, R., Rao, S., Benndorf, M., Haenselmann, T. (2018). A Comprehensive Crowd-Sourcing Approach to Urban Flood Management. In: Kumar, N., Thakre, A. (eds) Ubiquitous Communications and Network Computing. UBICNET 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 218. Springer, Cham. https://doi.org/10.1007/978-3-319-73423-1_2
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DOI: https://doi.org/10.1007/978-3-319-73423-1_2
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