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基于多源数据的上海城市公园使用满意度关键影响因素
引用本文:刘颂,杨莹,贾虎,马小艳.基于多源数据的上海城市公园使用满意度关键影响因素[J].中国城市林业,2020(2):51-56.
作者姓名:刘颂  杨莹  贾虎  马小艳
作者单位:同济大学建筑与城市规划学院;上海市公园管理事务中心
基金项目:国家重点研发计划课题“绿色基础设施生态系统服务功能提升与生态安全格局构建”(2017YFC0505705);高密度人居环境生态与节能教育部重点实验室(同济大学)开放课题(2019020303)。
摘    要:以上海市综合公园--人民公园和复兴公园为研究样本,采用问卷调查、实地监测和网络点评数据3种调查方法对影响城市公园使用满意度的5类17个影响因素进行分析.研究结果表明,城市公园的游憩环境、活动与设施水平对公园整体满意度影响显著;不同年龄段的公园使用者对城市公园满意度的关注点各不相同,老年人关注公园的服务环境,中年人对公园管理有着较高的要求,青年人更关注公园特色.基于多源数据分析的公园满意度具有一致性,可以交叉验证,置信度更高.在此基础上,总结了影响城市居民公园使用满意度的主导因素,并提出公园空间品质提升的优化策略.

关 键 词:多源数据  城市公园  满意度  影响因素  主成分分析  上海市

Research on Influencing Factors to Shanghai Urban Parks Satisfaction Based on Multi-source Data
Liu Song,Yang Ying,Jia Hu,Ma Xiaoyan.Research on Influencing Factors to Shanghai Urban Parks Satisfaction Based on Multi-source Data[J].Journal of Chinese Urban Forestry,2020(2):51-56.
Authors:Liu Song  Yang Ying  Jia Hu  Ma Xiaoyan
Institution:(College of Architecture and Urban Planning,Tongji University,Shanghai 200092,China;Shanghai Park Management Center,Shanghai 200031,China)
Abstract:The paper selects Shanghai Urban Parks-People’s Park and Fuxing Park to analyze the 17 influencing factors in 5 categories to the urban park usage satisfaction by three survey methods,including questionnaire survey,field monitoring and comments Dianping.com.The results show that the recreational environments,activities and facilities have a significant effect on the overall satisfaction with the parks.People at different ages focuson different factors.Old people pay more attention to the park environment,the middle-aged have higher requirements for the park management,while young people are more careful for the park characteristics.The results proves that people’s satisfaction with parks survey based on multi-source data is consistent and can be cross-validated with higher accountability.According to the investigation,the dominant influencing factors to urban parks usage satisfaction,and optimization strategy to improve the quality of urban park spaces are summarized.
Keywords:multi-source data  urban park  satisfaction  influence factor  principal component analysis  Shanghai
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