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基于行为观察法的游客游憩行为与环境偏好研究——以三明市如意湖湿地公园为例 被引量:4

Tourists’Recreation Behavior and Environmental Preference Using Behavior Observation Method:A Case of Ruyi Lake Wetland Park in Sanming City
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摘要 以三明市如意湖湿地公园为研究对象,采用游憩行为观察法、核密度估算法、问卷调查法,分析游客的游憩行为与环境偏好及其影响因素,探究游客在三明市如意湖湿地公园中游憩的时空分布规律。结果表明:老年游客偏好在林下空间及主要景观节点处,以舒缓的游憩方式进行游憩;中青年游客的游憩目的以游览观光为主,偏好在滨水空间及景观视线良好处进行游憩;青少年游客喜欢挑战性活动,偏好在娱乐空间进行游憩。基于此,提出以不同游憩群体的行为特征与环境偏好相结合为导向的我国城市湿地公园管理发展规划和游憩环境改善的对策与建议。 Taking Sanming Ruyi Lake Wetland Park as the research object,the recreational behavior observation method and nuclear density estimation method are used to analyze the recreational behavior,environmental preference and influencing factors of tourists,and explore the temporal and spatial distribution law of tourists’recreation in Sanming Ruyi Lake Wetland Park.The results showed that elderly tourists preferred to relax in the understory space and main landscape nodes;The recreation purpose of young and middle-aged tourists was mainly sightseeing,and they preferred to have a good recreation in the waterfront space and landscape sight;Young tourists like challenging activities and preferred to have a rest in the entertainment space.Based on this,this paper puts forward the countermeasures and suggestions for the management and development planning of urban wetland parks and the improvement of recreational environment in China guided by the combination of behavioral characteristics and environmental preferences of different recreational groups.
作者 王梓凌 杨钧宁 邹诚 邓诗靖 林润泽 李霄鹤 Wang Ziling;Yang Junning;Zou Cheng;Deng Shijing;Lin Runze;Li Xiaohe(College of Landscape Architecture of Fujian Agriculture and Forestry University,Fuzhou 350021)
出处 《湖北林业科技》 2022年第1期44-51,共8页 Hubei Forestry Science and Technology
基金 福建省社会科学规划项目“福建红色文化资源体系构建及保护性利用研究”(FJ2019C008) 福建省创新战略研究计划项目“健康导向的城市社区理想型慢跑系统研究——基于物-场可供性模型”(2020R0031) 福建农林大学园林学院学科交叉融合引导项目“‘工·艺’融合视角下海峡人居环境创新研究项目”(YSYL-xkjc-3)。
关键词 风景园林 游憩行为 环境特征 三明市如意湖湿地公园 landscape architecture recreational behavior environmental characteristics Sanming Ruyi Lake Wetland Park
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