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Smart Urban Design with Intelligent Engineering Utilizing AI and Platform-Centric Analysis |
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| รหัสดีโอไอ | |
| Creator | Bhattraradej Witchayangkoon |
| Title | Smart Urban Design with Intelligent Engineering Utilizing AI and Platform-Centric Analysis |
| Contributor | Yasser Arab, Alif Samsey |
| Publisher | TuEngr Group |
| Publication Year | 2569 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 17 |
| Journal No. | 1 |
| Page no. | 17A1E: 1-18 |
| Keyword | Intelligent city system, Engineering city, Smart data, Smart city, Smart design, Listening city, Governance, Urban city, Technological layer, Analytical layer, Governance layer, Bangkok smart city, Citizen participation, Listening engineering framework. |
| URL Website | http://TuEngr.com/Vol17-1.html |
| Website title | ITJEMAST V17(1) 2026 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | The 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. |
