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    基于网络大数据的北京森林公园社会服务价值评价研究

    关键词:风景园林;数字景观;大数据;社会服务价值;森林公园

    Key words:landscape architecture; digital landscape; big data; social services value; forest park

    摘要:近年来北京森林公园建设发展迅速,数量和质量都得到了很大提升,为城市居民提供了更多的游憩空间,以北京森林公园为研究对象,基于网络大据,利用词频分析技术对北京森林公园的网络评价进行了数据采集和分析。能够更为精准地获取不同类型森林公园的社会服务价值,为森林公园的进一步规划和改造提供决策依据。网络大数据一方面可以快速从宏观上反映出的北京森林公园的空间分布的时空变化;另一方面可以得到比较多的社会各界对于森林公园的使用评价,获得森林公园社会服务评价中的群众关注的热点。网络大数据能呈现出北京森林公园对于社会协调发展的重要作用,表明森林公园是家庭活动开展的重要公共空间。

    Abstract:The construction of Beijing forest parks has been developed fast recently, and the quantity and quality of the parks have been improved greatly, which has offered more recreational spaces to city dwellers. The article used technology of word frequency analysis for data collection and analysis of online recommendations of Beijing forest parks, which can precisely acquire social services values of different types of forest parks and can provide decision-making evidence for further planning and reforming of forest parks. Internet big data on one hand can quickly reflect the temporal and spatial variation of people distribution of Beijing forest parks, and on the other hand can get many remarks on forest park visiting from society, and acquire hotspots of the comments on the forest park service people caring about. Internet big data can also show that Beijing forest parks are important for harmonious development of the society and are significant public spaces for carrying out the family activities.

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