Open AccessVULNERABILITY OF INFRASTRUCTURES TO CLIMATE EVENTS. ROAD FLOODING
Author(s) -
Nerea Tarrago Garay,
Francisco Javier Royo Abancens,
Ignacio Torreira De Las Heras
Publication year - 2020
Publication title -
dyna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.177
H-Index - 11
eISSN - 1989-1490
pISSN - 0012-7361
DOI - 10.6036/9650
Subject(s) - flooding (psychology) , weighting , analytic hierarchy process , computer science , vulnerability (computing) , vulnerability assessment , geographic information system , environmental resource management , data mining , geography , environmental science , operations research , engineering , cartography , computer security , psychological resilience , medicine , psychology , psychotherapist , radiology
The present study defines an original methodology for diagnosing the vulnerability of infrastructure to climatic events. Against existing approaches, this methodology increases the objectivity in the assessment and weighting of the aspects involved in a multicriteria procedure. In addition, it includes the automation and digitalization of the process.For this purpose, concepts extracted from the MIVES methodology (Integrated Value Model for Sustainable Evaluation) are used, especially the Hierarchical Analytical Procedure, combined with the GIS (Geographical Information System) support of infrastructure and its environment information (geo-referenced spatial information with semantic information associated).The procedure has been particularized for the case of road flooding. For its validation and optimization, it has been applied on two real cases: the A-92 between Seville and Almeria and the variant to the N-435 between the towns of Beas and Trigueros.With all this, a procedure has been defined and validated to obtain a unique measurement / comparison index of the degree of vulnerability to flooding of the different units of analysis or sections into which the road infrastructure is previously divided.Key Words: road, climate, vulnerability, multi-criteria analysis, GIS