江西科学2025，Vol.43Issue(3)：553-559,7.DOI:10.13990/j.issn1001-3679.2025.03.23
基于机器学习和遗传算法的老年人植物景观偏好研究
Research on Elderly Preferences for Plant Landscapes Based on Machine Learning and Genetic Algorithm
摘要
Abstract
Urban parks are important outdoor activity spaces for the elderly,and plant landscapes are an important component of urban parks.Therefore,creating plant landscapes that are preferred by the elderly has a positive impact on motivating them to enter urban parks for leisure and recreation.Based on this,this study takes Nanchang People's Park,Bayi Park,and Ruziting Park as research objects,and adopts a research method combining machine learning,genetic algorithm,and questionnaire survey to study the plant landscape preferences of elderly people.The research results show that plant diversity,functionality,openness and interactivity of spatial layout are key factors affecting the preferences of elderly people for plant landscapes.Based on the above research conclusions,the study proposes age-friendly design recommendations for urban park plant landscapes.The results provide valuable insights for the planning,design,and improvement of urban park plant landscapes.关键词
老年人/植物景观偏好/城市公园/遗传算法/机器学习Key words
elderly people/plant landscape preference/urban park/genetic algorithm/machine learning分类
林学引用本文复制引用
余腾达,刘榕琦,张绿水..基于机器学习和遗传算法的老年人植物景观偏好研究[J].江西科学,2025,43(3):553-559,7.基金项目
国家自然科学基金项目(32260418) （32260418）
江西省社会科学基金项目(22YS08) （22YS08）
江西省高校人文社会科学项目(YS22127). （YS22127）
