水体游憩环境是一种服务于人们游憩活动,融环境、经济、社会等功能于一体的生态体验景观网络。以辽宁丹东的青山沟镇、大梨树村、大孤山镇(大鹿岛)及长甸镇(河口岛)等四个村镇为例,采用结构方程模型(SEM)验证了水体生态体验景观网络中活动、背景、体验及利益等行动体属性之间的结构关系,为水体游憩环境规划管理模式的构建奠定理论基础。在模型验证过程中,运用SPSS11.0及AMOS6.0软件测试水体景观网络行动体的结构关系模型及相互作用路径系数;拟合度检验表明,该结构方程模型具有较高的可靠性。

The aim of this study is to offer a structural equation modeling for identifying recreation management attributes relationship in water based eco-experiencescape. Regarding recreation as an activity is common in water-based eco-experiencescape, and it is to regard leisure as producing personal, social and cultural, economic, and environmental benefits. A survey is conducted with the tourists in four sites to measure respondents' attitudes towards water-based eco-experiencescape of Dandong. The water-based eco-experiencescape's factor structure and four latent attributes factors (ASEB) are identified. The ASEB structural model focuses on four specific areas of visitor appeal including activities, settings, experiences and benefits. The next procedure is used to confirm this factorial structure by using structural equation modeling. A water-based eco-experiencescapes attributes model is proposed in which the variables of the causal link are connected with arrow path. Its relevant analysis is expressed by using coefficients (threshold >0, <1). This ASEB structure also shows a superior fit when compared with factor structures found in other studies. It contributes to building the benefits-based model (BBM). Benefits refer to those positive outcomes that people attain as a result of their participation in recreation activities in a given setting. Benefits can be associated with one of four general categories including personal, social, economic and environmental. The model provides an increased understanding of resident's activities, experiences and settings preference. It enables communities to make better decisions regarding the positive and negative outcomes produced by the water-based eco-experiencescapes on quality of life for citizens, vibrant and livable communities, diverse and stable local economies and sustainable ecological environments.