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Lookup NU author(s): Dr Diana Maria Contreras Mojica
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by URISA, 2009.
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Damage assessment determines the safe condition of houses and buildings that were affected in adisaster. These elements must be inspected to determine if they can be occupied by people. Theobjective of the present research is to design a model for the planning of a rapid building damagesurvey after an earthquake and manage the spatial information collected. The model is built onby three sub-models aiming to estimate the number of trained people required, their spatialallocation and the right information flow. Nevertheless, the present paper only puts forward thesecond sub-model related to the allocation of the service areas to the building inspectors, due tothe degree of development reached and the contribution represented by this. To allocate thetrained people, five methods were applied: average number of parcels or blocks, euclideanallocation, multiple-ring-buffer, network analysis (service area), and route allocation.Aditionally, the use of the CommunityViz a GIS application as spatial planning support system(SPSS) is tested as a tool in the planning of the emergency response to determine the priorityareas to be inspected after the earthquake. The allocation method is selected according to the dataand the preparedness level that every city has, but the highest level of accuracy comes from theroute allocation method. The use of CommunityViz, in the present research allows to the decisionmakers observe four priority attention scenarios according to different weights to the factors suchas density population, degree of damage, density of built-up area, probability of secondaryeffects and availability of the inspectors. The use of route allocation method will increase theeffectiveness of the inspection task, and in spite of the use of CommunityViz to plan theemergency response is feasible, its utilization is still limited due to the time that every analysisrequires and its limitation in large scale problems.
Author(s): Contreras D
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Unknown
Conference Name: URISA 2009 Annual Conference
Year of Conference: 2009
Date deposited: 08/04/2019