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ISPRS Int. J. Geo-Inf. 2016, 5(2), 14;

A Generic Model to Exploit Urban Regulation Knowledge

COGIT, IGN, SRSIG, Université Paris-Est, 73 av. de Paris, 94160 Saint-Mandé, France
Laboratoire Image, Ville, Environnement—UMR 7362, Université de Strasbourg, 3 rue de l’Argonne, 67000 Strasbourg, France
Author to whom correspondence should be addressed.
Received: 16 December 2015 / Accepted: 22 January 2016 / Published: 6 February 2016
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The Right to Build is defined by textual elements that determine what an owner can build on a parcel. Such regulations contain elements that can influence the development of territories. Expressed through legal texts, their effects on the territory are difficult to assess because of the documents’ complexity and of the diversity of urban configurations. In this paper, we present a generic and extendable model to represent such regulations. This model is based on (1) a representation of geographical concepts (attributes, features and relations) mentioned in regulations and (2) rules formalized with Object Constraints Language (OCL). We also propose an implementation that allows the handling of formalized rules in order to check if a building configuration proposal respects urban regulations. Many applications are possible in order to assist in the conception of such regulations, land acquisition strategy or territorial evolution studies, in this article, we notably describe a future application dedicated to assist building permit surveyors. View Full-Text
Keywords: urban regulation; right to build; rule formalization; 3D GIS; OCL; building permit survey urban regulation; right to build; rule formalization; 3D GIS; OCL; building permit survey

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Brasebin, M.; Perret, J.; Mustière, S.; Weber, C. A Generic Model to Exploit Urban Regulation Knowledge. ISPRS Int. J. Geo-Inf. 2016, 5, 14.

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