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A Volunteered Geographic Information (VGI) Framework for Disaster Management Based on Mobile Services and SDI

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Geospatial Infrastructure, Applications and Technologies: India Case Studies

Abstract

With the advent of communication technology and location enabled handheld devices, the citizens, regardless of their knowledge or expertise, may help in generating spatial information. This phenomenon is known as volunteered geographic information (VGI). Thus, VGI can be seen as a way of producing geographic information and as a tool for updating national geographic databases. This work proposes a volunteered geographic information (VGI) framework for disaster management, primarily focuses on flood disaster. During disaster situation, the local volunteers may provide authentic and real-time information to the disaster management decision-makers and in-situ rescue worker. The local volunteers also can involve in initial rescue operation by using their domain knowledge and physical capacity. The work involves: (i) development of a geospatial platform for collecting authentic data for disaster management from the local volunteers; (ii) integrating with backend SDI for generation of disaster risk map by the processing of volunteered data along with the geospatial data from several authoritative data sources; (iii) development of a rescue plan based on information provided by the local volunteers by using ant colony optimization technique, etc. The system has been validated with some real and simulated data related to flood disaster.

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References

  1. Goodchild, M.F.: Citizens as sensors: the world of volunteered geography. GeoJournal 69, 211–221 (2007)

    Article  Google Scholar 

  2. Open Geospatial Consortium (2005). http://www.opengeospatial.org

  3. Alvarez, M., Fernandez, T.D., Iglesias, R.C.: Social networks and Web 2.0 tools as a good complement to the local SDI. In: Proceedings of the GSDI12, Singapore (2012)

    Google Scholar 

  4. Mansourian, A., Zoej, M.J.V.: Expanding SDI hierarchy for countries with non-federated system: a case study of Iran. World Appl. Sci. J. 3(4), 597–602 (2008)

    Google Scholar 

  5. Akinci, H., Erdogan, S.: Designing a flood forecasting and inundation-mapping system integrated with spatial data infrastructures for Turkey. Nat. Hazards 71, 895–911 (2014)

    Article  Google Scholar 

  6. Koswatte, S., McDougall, K., Liu, X.: SDI and crowdsourced spatial information management automation for disaster management. Surv. Rev. 47, 307–315 (2015)

    Article  Google Scholar 

  7. Schnebele, E., Cervone, G., Waters, N.: Road assessment after flood events using non-authoritative data. Nat. Hazards Earth Syst. Sci. 14, 1007–1015 (2013)

    Article  Google Scholar 

  8. Liu, S.B., Palen, L.: The new cartographers: crisis map mashups and the emergence of neogeographic practice. Cartogr. Geogr. Inf. Sci. 37, 69–90 (2010)

    Article  Google Scholar 

  9. Zook, M., Graham, M., Shelton, T., Gorman, S.: Volunteered geographic information and crowdsourcing disaster relief: a case study of the Haitian earthquake. World Med. Health Policy 2, 7–33 (2010)

    Article  Google Scholar 

  10. Erskine, M.A., Gregg, D.G.: Utilizing volunteered geographic information to develop a real-time disaster mapping tool: a prototype and research framework. In: Proceedings of the CONF-IRM12, Vienna (2012)

    Google Scholar 

  11. Zheng, Y.J., Ling, H.F., Xue, J.Y., Chen, S.Y.: Population classification in fire evacuation: a multiobjective particle swarm optimization approach. IEEE Trans. Evol. Comput. 18, 70–81 (2014)

    Article  Google Scholar 

  12. Duan, P., Xiong, S., Jiang, H.: Multi-objective optimization model based on heuristic ant colony algorithm for emergency evacuation. Natural hazards. In: Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, USA, pp. 1258–1262 (2012)

    Google Scholar 

  13. Open GeoSMS Standard Core 1.0. http://www.opengeospatial.org/standards/opengeosms (2012)

  14. OpenGIS Web Processing Service Interface Standard 2.0. http://www.opengeospatial.org/standards/wps (2015)

  15. Ester, M., Kriegel, H., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, USA, pp. 226–231 (1996)

    Google Scholar 

  16. Graham, R.: An efficient algorithm for determining the convex hull of a finite planar set. Inf. Process. Lett. 1, 13–133 (1973)

    Article  Google Scholar 

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Correspondence to S. K. Ghosh .

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Dasgupta, A., Ghosh, S.K. (2018). A Volunteered Geographic Information (VGI) Framework for Disaster Management Based on Mobile Services and SDI. In: Sarda, N., Acharya, P., Sen, S. (eds) Geospatial Infrastructure, Applications and Technologies: India Case Studies. Springer, Singapore. https://doi.org/10.1007/978-981-13-2330-0_10

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  • DOI: https://doi.org/10.1007/978-981-13-2330-0_10

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