Abstract
This study identifies technology and data related to disaster management with the concept of the Smart City. A natural disaster has a huge impact on city sustainability, it could destroy physical infrastructure, harm people, or make activities stop for a range of time. Environment evolvement in recent years, such as climate change and increasing population impacted to the natural disaster casualty. It then examines the technology to construct natural disaster management, consisting of preparation, mitigation, response and recovery for disaster recovery. Technology, such as IoT, GIS, big data, AUV, and Social media can be integrated to provide a solution for the city. Furthermore, this study proposed a model for smart disaster management that integrates ICT (Information and Communications Technology) and Smart City domain.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
United Nation: 68% of the world population projected to live in urban areas by 2050. https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html
Arepalli, A., Rao, S.S., Rao, P.J.: A spatial disaster management framework for smart cities—a case. In: Proceedings of International Conference on Remote Sensing for Disaster Management: Issues and Challenges in Disaster Management, p. 465 (2018)
Albino, V., Berardi, U., Dangelico, R.M.: Smart cities: definitions, dimensions, performance, and initiatives. J. Urban Technol. 22, 1–19 (2015)
Cocchia, A.: Smart and digital city: a systematic literature review. In: Dameri, R.P., Rosenthal-Sabroux, C. (eds.) Smart city: how to create public and economic value with high technology in urban space, pp. 13–43. Springer International Publishing, Cham (2014)
Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: some stylised facts (2014)
Giffinger, R., Gudrun, H.: Smart cities ranking: an effective instrument for the positioning of the cities? ACE Archit. City Environ. 4, 7–26 (2010)
Ojo, A., Curry, E., Zeleti, F.A.: A tale of open data innovations in five smart cities. In: Proceedings of the Annual Hawaii International Conference on System Sciences, 2015 March, pp. 2326–2335 (2015)
UNISDR: Economic losses, poverty & disasters 1998–2017 (2017)
National Research Council: Improving disaster management: the role of IT in mitigation, preparedness, response, and recovery. National Academies Press (2007)
Akter, S., Wamba, S.F.: Big data and disaster management: a systematic review and agenda for future research. Ann. Oper. Res. 1–21 (2017)
Sakhardande, P., Hanagal, S., Kulkarni, S.: Design of disaster management system using IoT based interconnected network with smart city monitoring. In: 2016 International Conference on Internet of Things and Applications IOTA 2016, pp. 185–190 (2016)
Arasteh, H., Hosseinnezhad, V., Loia, V., Tommasetti, A., Troisi, O., Shafie-khah, M., Siano, P.: IoT-based smart cities: a survey IoT-based smart cities: a survey. In: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), pp. 2–7 (2016)
Yang, C., Su, G., Chen, J.: Using big data to enhance crisis response and disaster resilience for a smart city. In: 2017 IEEE 2nd International Conference on Big Data Analytics ICBDA 2017, pp. 504–507 (2017)
Meenakshi, Y., Kumar, Y.B.: Multi-angle LIDAR for remote sensing smoke emissions from wildfires. In: Proceedings of International Conference on Remote Sensing for Disaster Management, pp. 83–89 (2019)
Shaik, I., Rao, S.V.C.K., Penta, B.: Detection of landslide using high-resolution satellite data and analysis using entropy. In: Proceedings of International Conference on Remote Sensing for Disaster Management, pp. 243–250 (2019)
Westen, C.V.A.N.: Remote sensing for natural disaster management. XXXIII, 1609–1617 (2000)
Anjaneyulu, G., Suseela, A.: Role of remote sensing system for disaster area response. In: Proceedings of International Conference on Remote Sensing for Disaster Management, pp. 151–157 (2019)
de Albuquerque, J.P., Herfort, B., Brenning, A., Zipf, A.: A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. Int. J. Geogr. Inf. Sci. 29, 667–689 (2015)
Carley, K.M., Malik, M., Landwehr, P.M., Pfeffer, J., Kowalchuck, M.: Crowd sourcing disaster management : the complex nature of Twitter usage in Padang Indonesia. Saf. Sci. (2016)
Erdelj, M., Natalizio, E., Chowdhury, K.R., Akyildiz, I.F.: Help from the sky: leveraging UAVs for disaster management, 24–32 (2017)
Olteanu, A., Vieweg, S., Castillo, C.: What to expect when the unexpected happens: social media communication across crises. In: Proceedings of 18th ACM Conference on Computer-Supported Cooperative Work and Social Computing—CSCW’15, pp. 994–1009 (2015)
Duvvuri, S.: GIS-based management system for flood forecast applications. In: Proceedings of International Conference on Remote Sensing for Disaster Management, pp. 1–12 (2019)
Tao, W.: Interdisciplinary urban GIS for smart cities: advancements and opportunities. Geo-Spat. Inf. Sci. 16, 25–34 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sukmaningsih, D.W., Suparta, W., Trisetyarso, A., Abbas, B.S., Kang, C.H. (2020). Proposing Smart Disaster Management in Urban Area. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, vol 830. Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-14132-5_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-14131-8
Online ISBN: 978-3-030-14132-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)