Communication Dans Un Congrès Année : 2025

Multi-perspective Analyses of Spatio-temporal Data about Well-being

Résumé

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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Dates et versions

hal-05028903 , version 1 (14-04-2025)
hal-05028903 , version 2 (16-04-2025)

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  • HAL Id : hal-05028903 , version 1

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Yunji Zhang, Franck Ravat, Sébastien Laborie, Philippe Roose. Multi-perspective Analyses of Spatio-temporal Data about Well-being. 20th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2025), INSTICC, Apr 2025, Porto, Portugal. pp.80-91. ⟨hal-05028903v1⟩
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