ABSTRACT
ABSTRACT: Our study is a contribution to the development of smart cities, especially smart urban building sites. The main objective of our work is to build a spatial decision support system to help managers of public spaces to better planning of building sites to reduce their annoyances. In this paper, we focus our study on the representation and the management of the annoyances generated by the urban building sites. More precisely, we propose a qualitative model of annoyance, which leads us to extend the well-known multidimensional model of data warehouses to deal with qualitative data cubes. We show how this model applies to the analysis of urban building sites annoyance.
