DBPapers
DOI: 10.5593/SGEM2014/B21/S8.100

SMART HOUSING ESTATE: MULTIDISCIPLINARY DATA FOR ENVIRONMENTAL MODELLING

T. Volarik, S. Dermekova, R. Wawerka, J. Sukup
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 777-784 pp

ABSTRACT
Nowadays, the authorities put a strong emphasis on energy reduction in the housing sector as well as a usage of green technologies according to European Union energy strategy based on Directive 2010/31/EU on the energy performance. This paper describes multidisciplinary data integration in the existing housing estate, within the pilot project in the city district Nový Lískovec in Brno. In studied area, multiple data integration is based on a geodatabase and 3D spatial model combined with data from building monitoring and aerial and terrestrial thermography. Furthermore, multidisciplinary data are applied by experts in various simulations. Their results subsequently serve as additional input for final multidisciplinary information model (MIM). Close cooperation among various experts can improve and upgrade the whole process of environmental modelling. Standard data sets are transformed into one multidisciplinary data set with effectiveness, collision avoidance and easy data transfer. The created model of multidisciplinary data should seek to improve decision-making processes in the context of sustainable development of the settlements and the region. Decision-making strategies in GIS analytical tools enable sustainable development and competitiveness of regions based on the solid knowledge and objective information which is in line with the European Union energy strategy.

Keywords: housing estate, 3D city model, environmental analyses, GIS, multidisciplinary data, CityGML.

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