城市湿地公园景观空间特征与访客游憩行为的关联性研究

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Research on the Correlation between Landscape Spatial Characteristicsand Visitors'Recreational Behavior in Urban WetlandParks

ZHANG Xue， YUAN Xiangying， CHEN Xiaoyu，LUO Sangzhaxi，YANG Zijiang

基金项目：云南省基础研究计划项目“时空活动视角下城市公园声景价值评价”（编号：202201AT070421）；云南省教育厅科学研究基金教师类项目“城市湿地公园游客视听景观感知与旅游体验研究”（编号：2023J0028）

Abstract

Urbanwetland parksserveas crucial carriers for the public to engage in recreational activities.Exploringtherelationship between thespatial characteristicsof urbanwetland park landscapesand visitors'recreational behaviours is crucial for meeting public recreational needsand enhancing the overall quality of these parks.Taking Kunming Laoyuhe National Wetland Park as the research object，this study conducts a quantitative analysis of the landscape spatial characteristics of urban wetland parks using the analytic hierarchy process （AHP） and semantic segmentation analysis method.Itacquires and examines visitors'recreational behaviorpatterns through visitors'self-recorded videos， GPS trajectory tracking，and questionnaire surveys，and furtherclarifies the correlation between various indicators of the landscape spatial characteristics of urban wetland parks and visitors'recreational behaviors.The study found that the popular science and educationarea hasthe highestlandscapeattractiveness，followed bythe rational utilization area，the restoration and reconstructionarea，and the management and service area. Static behaviorsare the main type of visitor behaviors within the wetland park.Within the wetland park，visitors'static behaviorsare negatively correlated with the popularscience facility index;passing behaviors are positively correlated with the spatial scale clarity and negatively correlated with the bird-watchingfacility index.Theaverage staying time is positively correlated with the green view index and the richness of vegetation colors.

Keywords

Recreationalbehavior;Wetland park;Landscape space; Landscape evaluation; Analytic hierarchy process; Semantic segmentation

文章亮点

1）以昆明市捞鱼河国家湿地公园为例，从访客的主观体验视角出发，基于访客自主拍摄视频数据和访客游憩轨迹数据，量化湿地公园景观空间特征和访客游憩行为特征；2）通过相关性分析，探究湿地公园景观空间特征与访客游憩行为特征之间的关系，以期为湿地公园景观设计和提升访客游憩体验提供对策建议。（剩余10311字）