:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
http://TuEngr.com
ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.17(1) (2026) |
Smart Urban Design with Intelligent Engineering Utilizing AI and Platform-Centric Analysis
Bhattraradej Witchayangkoon (Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, THAILAND),
Yasser Arab (Department of Architectural Engineering, Dhofar University, SULTANATE of OMAN), and
Alif Samsey (Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, THAILAND).
Discipline: Multidisciplinary (Urban Design & Computer Sciences).
Keywords: modern Cultural Heritage (m-CH); Monitoring heritage building; CH building; Building realtime monitoring; Managing heritage structures; Building conservation; Protection of heritage building.
AbstractThe city of the twenty-first century is not just a group of buildings, roads, and infrastructure anymore. It has transformed into a living sensorium - a large, interconnected system that produces streams of data about movement, environment, energy uses, and human activities. Yet data alone does not create intelligence, and intelligence alone does not produce good design. The transformation of raw urban data into actionable design knowledge-from smart data to smart design-requires sophisticated analytical platforms, artificial intelligence, and perhaps most critically, a fundamental reorientation of how we understand the relationship between cities and their citizens. This paper presents a comprehensive analysis of the emerging paradigm of engineering cities that listen within the Thai context, examining how AI-powered platforms are being developed, deployed, and evaluated across urban Thailand over the past ten years (2015-2025). From peer-reviewed research, government pilot projects, industry case studies, and policy documents, this study traces the evolution from foundational data infrastructure through platform development to current deployments of AI-enabled decision support systems. The analysis looks at three interconnected areas. The first is the technology aspect of sensing, data sharing, and platform design. The second is the analysis aspect of AI-based inference, visualization, and decision-making support. The third is the governance aspect of institutional integration, citizen involvement, and policy coordination. Important findings show that Thailand has progressed from scattered pilot projects to a developing national framework, featuring notable innovations.Paper ID: 17A1E
Cite this article:
Witchayangkoon, B.B., Arab, Y., and Samsey, A. (2026). Smart Urban Design with Intelligent Engineering Utilizing AI and Platform-Centric Analysis. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 17(1), 17A1E, 1-18. http://doi.org/10.14456/ITJEMAST.2026.5
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Other issues:
Vol.16(4)(2025)
Vol.16(3)(2025)
Vol.17(2)(2026)
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