| Issue |
EPJ Web Conf.
Volume 369, 2026
4th International Conference on Artificial Intelligence and Applied Mathematics (JIAMA’26)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 12 | |
| Section | XAI and Data-Driven Optimization in Energy, Environment, and Economic Systems | |
| DOI | https://doi.org/10.1051/epjconf/202636902009 | |
| Published online | 13 May 2026 | |
https://doi.org/10.1051/epjconf/202636902009
Assessing XAI-guided passive design strategies for tourism buildings in Uzbekistan: A decision support model
1 Department of Tourism and Hotel Business, Tashkent State University of Economics, Tashkent, Uzbekistan
2 Department of Tourism and Hotel Business, Tashkent State University of Economics, Uzbekistan
3 Department of Tourism and Hotel Business, Tashkent State University of Economics, Uzbekistan
4 Department of Tourism and Hospitality Business, Tashkent State University of Economics, Islam Karimov 49, 100066, Tashkent, Uzbekistan
5 Department of Economic theory, Tashkent State University of Economics, Islam Karimov Avenue, 49, 100066 Tashkent, Uzbekistan
* corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 13 May 2026
Abstract
The effectiveness of passive design strategies determines the energy performance and environmental comfort of the building. This study was conducted to determine the relationships among key factors influencing passive design adoption of tourism buildings for Uzbekistan. The purpose of this study is to assess the suitability of the important aspects of passive design strategies including building orientation, envelope insulation, natural ventilation, shading devices and the integration of explainable decision support. The present research aimed at determining the effects of XAI guidance on a tourism facility’s design decision outcomes. To examine the interrelationships among the selected passive design variables of the study, a decision support model was developed, and AHP analysis was conducted. The data were equally subjected to Heckman selection analysis to identify if stakeholders’ and designers’ differential use of passive strategies for tourism buildings differed by project type. The result showed that there is no difference by stakeholder group in passive strategy use for tourism buildings. Moreover, the results showed a significant relationship among all the factors in influencing adoption of passive design for tourism facilities. The application of XAI guidance is also expected to improve the aspects of energy efficiency, thermal comfort and environmental sustainability within the tourism sector to promote sustainable building development. The study has implications for all stakeholders in solving problems associated with climate-responsive design adoption for tourism infrastructure.
Key words: XAI-guided passive design / Tourism buildings / Analytic Hierarchy Process (AHP) / Heckman selection model / Sustainable building development
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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