ISPRS International Journal of Geo-Information IJGI 2220-9964 IIJGA5 12 2015 4 4 Improving Post-Earthquake Insurance Claim Management: A Novel Approach to Prioritize Geospatial Data Collection Massimiliano Pittore GFZ German Research Centre for Geosciences, Helmholtzstraße 7, Potsdam 14467, Germany http://orcid.org/0000-0003-4940-3444 Marc Wieland GFZ German Research Centre for Geosciences, Helmholtzstraße 7, Potsdam 14467, Germany Mustafa Errize GRM Iletisim ve Bilisim San. Tic. Ltd. Sti., ITU Ayazaga Campus Koru Road ARI Science Park ARI 2 A Block 3-2 Maslak, Istanbul 34000, Turkey Cagatay Kariptas GRM Iletisim ve Bilisim San. Tic. Ltd. Sti., ITU Ayazaga Campus Koru Road ARI Science Park ARI 2 A Block 3-2 Maslak, Istanbul 34000, Turkey Ismet Güngör Turkish Catastrophe Insurance Pool (TCIP), Altunizade Mahallesi, Ord Prof. Fahrettin Kerim Gökay Caddesi, No: 20, Üsküdar, Istanbul 34662, Turkey

With a population exceeding 14 million and a GDP of more than 300 billion USD, Istanbul dominates the Turkish economy. Unfortunately, this concentration of social and economic assets is permanently threatened by potentially devastating earthquakes, given the city’s close proximity to several well-known fault systems. As a measure to mitigate the consequences of such events, and to increase the resilience of the exposed communities, the Turkish Catastrophe Insurance Pool (TCIP) has been set up to provide affordable and reliable earthquake insurance to households all over the country. In the aftermath of a damaging event, especially in Istanbul, the operational capacity of TCIP will be seriously challenged by the high number of claims whose settlement would have to be swift and fair in order to kick-start the recovery process. In this paper we explore an integrated approach based on mobile mapping and ad hoc prioritization techniques to streamline the data collection and analysis process, with application to both the pre-event and post-event phases. Preliminary results obtained in Besiktas, a populous district of Istanbul, are presented and discussed.

 10 30 2015 2401 2427 ijgi4042401 10.3390/mdpi_crossmark_policy https://creativecommons.org/licenses/by/4.0/ 10.3390/ijgi4042401 https://www.mdpi.com/2220-9964/4/4/2401 https://www.mdpi.com/2220-9964/4/4/2401/pdf 10.1038/ncomms2999 Bonhoff, M., Bulut, F., Dresen, G., Eken, T., Malin, P.E., and Aktar, M. (2013). An earthquake gap south of Istanbul. Nat. Commun., 4. Toksoz Izmit (Turkey) earthquake of 17 August 1999: First report Seism. Res. Lett. 1999 10.1785/gssrl.70.6.669 70 669 Bibbee, A., Gönenç, R., Jacobs, S., Konvitz, J., and Price, R. (2000). Economic Effects of the 1999 Turkish Earthquakes, OECD Publishing. Erdik Earthquake risk assessment for Istanbul metropolitan area Earthq. Eng. Eng. Vib. 2003 10.1007/BF02857534 2 1 Ergintav Istanbul’s earthquake hot spots: Geodetic constraints on strain accumulation along faults in the Marmara seismic gap Geophys. Res. Lett. 2014 10.1002/2014GL060985 41 5783 10.1029/2003JB002667 Parsons, T. (2004). Recalculated probability of M ≥ 7 earhtquakes beneath the Sea of Marmara, Turkey. J. Geophys. Res., 109. Strasser A comparative study of European earthquake loss estimation tools for a scenario in Istanbul J. Earthq. Eng. 2008 10.1080/13632460802014188 12 246 Erdik Earthquake risk and its mitigation in Istanbul Nat. Hazards 2007 10.1007/s11069-007-9110-9 44 181 10.1596/978-0-8213-6583-0 Gurenko, E.N., Lester, R.R., Mahul, O., and Gonulal, S.O. (2006). Earthquake Insurance in Turkey: History of the Turkish Catastrophe Insurance Pool, The World Bank. Durukal, E., Erdik, M., and Sesetyan, K. (2006, January 18–21). Expected earthquake losses to buildings in Istanbul and implications for the performance of the Turkish Catastrophe Insurance Pool. Proceedings of the International Conference on Geohazards, Technical, Economical and Social Risk Evaluation, Lillehammer, Norway. 10.4401/ag-6692 Pittore, M. (2015). Focus maps: A means of prioritizing data collection for efficient Geo-risk assessment. Ann. Geophys., 58. Cochran, W.G. (1977). Sampling Techniques, John Wiley & Sons. [3rd ed.]. Wang A review of spatial sampling Spat. Stat. 2012 10.1016/j.spasta.2012.08.001 2 1 Stevens Spatially balanced sampling of natural resources J. Am. Stat. Assoc. 2004 10.1198/016214504000000250 99 262 10.1016/j.stamet.2009.10.005 Grafström, A. (2010). On Unequal Probability Sampling Designs. [Ph.D. Thesis, Umea University]. Khan Watershed prioritization using remote sensing and geographical information system: A case study from Guhiya, India J. Arid Environ. 2001 10.1006/jare.2001.0797 49 465 10.5194/isprsarchives-XXXIX-B8-103-2012 Feng, J., Bai, L., Liu, S., Su, X., and Hu, H. (2012). Optimization of decision-making for spatial sampling in the North China Plain, based on remote-sensing a priori knowledge. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. Estoque Prioritizing areas for rehabilitation by monitoring change in barangay-based vegetation cover ISPRS Int. J. Geo-Inf. 2012 10.3390/ijgi1010046 1 46 Altan, O. (2010). Geoinformation for Disaster and Risk Management: Examples and Best Practices, Joint Board of Geospatial Information Societies. Committee on Identifying Data Needs for Place-Based Decision Making, Committee on Geography, National Research Council (2002). Community and Quality of Life: Data Needs for Informed Decision Making, National Academy Press. 10.1520/STP1126-EB Johnson, A.I., Pettersson, C.B., and Fulton, J.L. (1992). Geographic Information Systems (GIS) and Mapping: Practices and Standards, ASTM. 10.1596/0-8213-5930-4 Dilley, M. (2005). Natural Disaster Hotspots a Global Risk Analysis, The World Bank. Applegate, D.L., Bixby, R.M., Chvátal, V., and Cook, W.J. (2006). The Traveling Salesman Problem: A Computational Study, Princeton University Press. Dijkstra A note on two problems in connexion with graphs Numer. Math. 1959 10.1007/BF01386390 1 269 Wieland Estimating building inventory for rapid seismic vulnerability assessment: Towards an integrated approach based on multi-source imaging SDEE Soil Dyn. Earthq. Eng. 2012 10.1016/j.soildyn.2012.01.003 36 70 Pittore Toward a rapid probabilistic seismic vulnerability assessment using satellite and ground-based remote sensing Nat. Hazards 2012 10.1007/s11069-012-0475-z 68 115 10.1145/1412228.1412233 Haverkort, H., Toma, L., and Zhuang, Y. (2009). Computing visibility on terrains in external memory. J. Exp. Algorithmics, 13. Wieland A multiscale exposure model for seismic risk assessment in Central Asia Seismol. Res. Lett. 2015 10.1785/0220140130 86 210