{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:44:39Z","timestamp":1760060679519,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T00:00:00Z","timestamp":1757548800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Faculty of Engineering, Thammasat School of Engineering, Thammasat University","award":["001\/2568"],"award-info":[{"award-number":["001\/2568"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>This study introduces a novel informatics framework for assessing regional sustainability by integrating Twin Mean-Variance Two-Stage Data Envelopment Analysis (TMV-TSDEA) with a desirability-based decision analytics system. The model evaluates both the efficiency and stability of economic and environmental performance across regions, supporting evidence-based policymaking and strategic planning. Applied to 16 Thai provinces, the framework incorporates a wide range of indicators\u2014such as investment, population, tourism, industrial output, electricity use, forest coverage, and air quality. The twin mean-variance approach captures not only average efficiency but also the consistency of performance over time or under varying scenarios. A two-stage DEA structure models the transformation from economic inputs to environmental outcomes. To ensure comparability, all variables are normalized using desirability functions based on standardized statistical coding. The TMV-TSDEA framework generates composite performance scores that reveal clear disparities among regions. Provinces like Bangkok and Ayutthaya demonstrate a consistent high performance, while others show underperformance or variability requiring targeted policy action. Designed for integration with smart governance platforms, the framework provides a scalable and reproducible tool for regional benchmarking, resource allocation, and sustainability monitoring. By combining informatics principles with advanced analytics, TMV-TSDEA enhances transparency, supports decision-making, and offers a holistic foundation for sustainable regional development.<\/jats:p>","DOI":"10.3390\/informatics12030092","type":"journal-article","created":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T15:10:46Z","timestamp":1757603446000},"page":"92","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Data-Driven Informatics Framework for Regional Sustainability: Integrating Twin Mean-Variance Two-Stage DEA with Decision Analytics"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7600-9752","authenticated-orcid":false,"given":"Pasura","family":"Aungkulanon","sequence":"first","affiliation":[{"name":"Department of Materials Handling and Logistics Engineering, Faculty of Engineering, King Mongkut\u2019s University of Technology North Bangkok, Bangkok 10800, Thailand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0229-0465","authenticated-orcid":false,"given":"Roberto","family":"Montemanni","sequence":"additional","affiliation":[{"name":"Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy"}]},{"given":"Atiwat","family":"Nanphang","sequence":"additional","affiliation":[{"name":"Industrial Statistics and Operational Research Unit, Department of Industrial Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani 12120, Thailand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4155-0688","authenticated-orcid":false,"given":"Pongchanun","family":"Luangpaiboon","sequence":"additional","affiliation":[{"name":"Industrial Statistics and Operational Research Unit, Department of Industrial Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathum Thani 12120, Thailand"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1007\/s11869-021-01012-y","article-title":"Modeling energy and air pollution health damaging: A two-stage DEA approach","volume":"14","author":"Halkos","year":"2021","journal-title":"Air Qual. 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