<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Diakakis, Michalis</style></author><author><style face="normal" font="default" size="100%">Deligiannakis, Georgios</style></author><author><style face="normal" font="default" size="100%">Pallikarakis, Aggelos</style></author><author><style face="normal" font="default" size="100%">Michalis Skordoulis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Identifying elements that affect the probability of buildings to suffer flooding in urban areas using Google Street View. A case study from Athens metropolitan area in Greece</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Disaster Risk Reduction</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012308625&amp;doi=10.1016%2fj.ijdrr.2017.02.002&amp;partnerID=40&amp;md5=709b4d1e9f4d9d1e72323ca8185efacf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">1 – 9</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Article</style></work-type></record></records></xml>