IN-PERSON Lisbon Livable Cities. Section B
Abstract
Houtong, a unique blend of historical significance and ecological diversity in Taiwan, has transitioned from a coal mining hub to a cat-themed tourism destination. However, it now faces pressing challenges, including environmental change and the need for updated tourism infrastructure. Balancing Houtong’s legacy with smart-city development has become a critical focus. This study explores the potential of Artificial Intelligence (AI) and intelligent infrastructure to manage these challenges and foster sustainable transformation. In environmental and urban sustainability, AI-driven ecological monitoring and data analytics—such as NDVI (Normalized Difference Vegetation Index)—can greatly enhance conservation by tracking biodiversity, assessing climate impacts, and offering targeted restoration strategies. Intelligent sensors and data modeling help preserve Houtong’s ecological integrity amidst ongoing shifts. Moreover, AI-powered tourism infrastructure can connect Houtong with nearby attractions like Jiufen. Applying Push-Pull theory (Dann, 1977), AI identifies overcrowding or limited offerings (push factors) and amplifies regional draws like Jiufen’s cultural vibrancy (pull factors). Through predictive analytics and targeted marketing, it helps manage visitor flow, reduce congestion, and promote regional tourism balance. This study highlights Houtong as a model for how AI and intelligent infrastructure can help heritage-rich regions adapt to urban challenges, protect ecological value, and evolve into resilient, smart destinations. It offers insights for future urban conservation and sustainable city development through technological integration.
Jheng-Yi Lai: I am a fourth-year architecture student from Taiwan. My two internship experiences in Japan—at the Van Collar Workshop and Oyama Kosen—sparked a strong interest in smart city design and sustainable infrastructure. During these programs, I was exposed to advanced applications of intelligent technologies, thoughtful integration of cultural heritage, and innovative approaches to urban development. These experiences have inspired me to explore how artificial intelligence can support sustainable heritage management and facilitate the transformation of historical areas into smart, resilient urban environments.
Dr. Chuang-Hung Lin is an associate professor at the Department of Architecture -the National United University, Taiwan. She received her PhD from the Department of Horticulture and Landscape Architecture -the National Taiwan University. With an architect qualification and having accumulated many years of interdisciplinary research on landscape and architecture. Dr. Lin’s research interests span microclimate and landscape design, sustainable campus planning and design, and greenery policy in built environments. Her dedication to public service and practical application of knowledge is further
Ming-Chen Chen: I am a fourth-year architecture student from Taiwan with a strong design and spatial planning foundation. I actively participate in design competitions and public presentations, demonstrating strong communication and proposal skills. My interests lie in historical reinterpretation, landscape revitalization, and the integration of collective memory into design. By studying how people interact with space across different periods, I aim to develop strategies for urban renewal that respect historical context while addressing contemporary needs.
1:30 pm - 3:00 pm
Friday 11th July, 2025