| 摘要: |
| 以武汉东湖绿道湖中道为对象，采用游憩行为观察法(SOPARC)分析游客游憩行为特征和绿道使用影响因素，运用核密度估算法(KDE)研究游客的空间分布特征。研究结果表明：1)绿道的使用对象非常广泛，对不同年龄和性别的游客均具有较好的吸引力；2)绿道居民和游客出行陪伴状况及性别与社会关系密切相关，社会交往需求成为绿道游客游憩活动的重要影响因素；3)游客活动类型选择受年龄和活动强度的影响，青少年群体偏好活动水平较高的运动，年长的游客趋向于选择强度较低的活动；4)闲暇与否成为影响游客和居民出行的重要因素；5)游客空间分布特征表明，风光优美的自然景点、亲水平台、开阔广场、可达性高的驿站等是绿道的高使用密度空间。以此为基础，提出以游憩者行为特征与偏好为导向的城市公园规划管理对策与建议。 |
| 关键词: 风景园林 东湖绿道 游憩行为 时空分布 游憩行为观察法 核密度估算法 |
| DOI： |
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| 基金项目: |
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| Research on Tourist Recreation Behavior Based on SOPARC and KDE—Taking Wuhan East Lake Greenway as an Example |
| ZENG Zhongping,WANG Yali,PENG Haoxuan |
| Abstract: |
| Taking Huzhong Road of East Lake Greenway in Wuhan as an example, the System for Observing Play and Recreation in Communities (SOPARC) used to analyze the characteristics of tourists' recreation behavior and the factors affecting the use of greenways. The Kernel Density Estimation (KDE) is used to analyze the spatial distribution characteristics of tourists. The results show that: 1) The greenway is widely used and has a good appeal to tourists of different ages and genders. 2) The green road tourists' companionship has obvious gender and social relationship characteristics, and the social interaction demand has become an important factor influencing the greenway tourists' recreation activities. 3) The type of tourist activity influenced by the age and activity intensity. The youth group prefers the activity with higher activity level, and the older tourists tend to choose the activity with lower intensity. 4) Whether leisure or not becomes an important factor affecting residents' travel. 5) The spatial distribution characteristics of tourists indicate that the natural scenic spots, the hydrophilic platform, the open plaza, and the high accessibility stations are the high-density venues of the greenway. Finally, on this basis, the urban park planning management strategies and suggestions based on the behavior characteristics and preferences of the tourists are proposed. |
| Key words: landscape architecture East Lake Greenway recreational characteristics spatial and temporal distribution SOPARC KDE |
