| 刊名 | Journal of Landscape Research |
| 作者 | ZHU Yue1, HONG Xiaochun1, DU Ruichao2*,Satoshi Sano2 |
| 作者单位 | 1. College of Civil Science and Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China; 2. Center for Space and Environment Design Engineering, School of Science for Open and Environmental Systems, Keio University, Yokohama 2238522, Japan |
| DOI | 10.16785/j.issn 1943-989x.2025.3.009 |
| 年份 | 2025 |
| 刊期 | 3 |
| 页码 | 47-52 |
| 关键词 | Traditional villages, Landscape construction knowledge, Villager participation, Artificial Intelligence and the Internet of Things, Cultural heritage |
| 摘要 | With the ongoing advancement of urban-rural integration, traditional villages are encountering challenges such as fragmented spatial patterns, the erosion of cultural landscapes, and the diminishing of distinctive features. Current landscape protection and utilization methods often exhibit limitations, including a narrow identification dimension, fragmented activation strategies, and a disconnect from modern development. To address these issues, this paper introduced the "landscape gene" theory from the perspective of urban and rural planning. It integrated artificial intelligence and Internet of Things technologies to construct a pathway for the inheritance and activation of landscape genes, centered around the concepts of Specifically, through remote sensing image recognition, village texture deconstruction, cultural element extraction, and a dynamic monitoring system, the core genes of traditional village spatial texture, historical sites, cultural symbols, and more were accurately identified and dynamically tracked. In terms of activation strategy, an AI-driven participatory planning platform guided the community in co-building and co-managing, thereby achieving adaptive regeneration and sustainable use of landscape genes in contemporary contexts. Empirical results indicated that this method could increase the retention rate of core landscape elements by 22%, enhance villager participation by 35%, and achieve an 87% satisfaction rate with landscape activation, effectively promote the cultural continuity and morphological renewal of traditional villages. |
