Authors:
Yunji Zhang
1
;
Franck Ravat
2
;
Sébastien Laborie
1
and
Philippe Roose
1
Affiliations:
1
Universite de Pau et des Pays de l’Adour, E2S UPPA, LIUPPA, Anglet, France
;
2
Institut de Recherche en Informatique de Toulouse - Université Toulouse Capitole, 31000, Toulouse, France
Keyword(s):
Data Analysis, On-Read Schema, Spatio-Temporal Data, Multi-Perspective Analysis, Well-Being.
Abstract:
The concept of ”Well-being” within local territories is increasingly recognized as a critical issue by local decision-makers. In the face of demographic shifting and population ageing, decision-makers need to anticipate demographic changes, plan land use, and shift land use promptly. They need a broader perspective that integrates various dimensions of the living environment for their territories. Therefore, it requires a system that can integrate different datasets and perspectives on various dimensions of ”Well-being”, including demographics, population distribution, land utilisation, transport, infrastructure development, social and business services, etc. It can perform comprehensive multi-perspective analyses based on integrated perspectives. However, the existing work on this topic mainly focuses on a single-perspective analysis, such as focusing exclusively on education. In order to fill this gap, this article aims to propose: (i) a mind map outlining the dimensions related to
”Well-being” and the associated data required for analyses; (ii) an on-read schema modelling framework for the storage, the cross-integration and the promoting accessibility of the multi-perspective data; and (iii) a modelling concept for multi-perspective analysis data to represent the various dimensions relating to ”Well-being”.
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