Gao Feng, Liao Shunyi, Wang Zexia, Cai Guanfang, Feng Lei, Yang Zonghe, Chen Wangyang, Chen Xin, Li Guanyao
Guangzhou Urban Planning & Design Survey Research Institute Co.,Ltd., Guangzhou, 510060, China; Guangzhou Collaborative Innovation Center of Natural Resources Planning and Marine Technology, Guangzhou, 510060, China; Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou, 510060, China.
Guangzhou Urban Planning & Design Survey Research Institute Co.,Ltd., Guangzhou, 510060, China; Guangzhou Collaborative Innovation Center of Natural Resources Planning and Marine Technology, Guangzhou, 510060, China; Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou, 510060, China.
J Environ Manage. 2024 Feb;351:119969. doi: 10.1016/j.jenvman.2023.119969. Epub 2023 Dec 30.
Urban parks play a crucial role in promoting the urban ecological environment and the health and well-being of dwellers. However, existing research on park visits and drivers has largely ignored the classification of parks. Using the four-level park system in Guangzhou as a case, this study first measured park visits based on cellphone signaling data. Then, the independent and interactive influences of driving factors on the visits of four types of parks were investigated and compared comprehensively based on the geographical detector model. The factor detector model preliminarily distinguished the functional and role differences of various park types. Nature and urban parks are more functional, and community and pocket parks mainly provide nearby residents with convenient relaxation spaces. The interaction detector further revealed the disparities in park visit drivers between four types of parks. The most significant finding is that nearby recreational facility is the key to the use of natural and urban parks, while the determining factor for the visits of community and pocket parks is the surrounding population. Based on these findings, the study recommends tailored strategies for each type of park, to promote effective management and increased utilization. In particular, the study highlights the importance of understanding the differences between park types and developing customized strategies to maximize the benefits of urban parks and foster a healthy and sustainable urban environment.
城市公园在促进城市生态环境以及居民的健康和福祉方面发挥着关键作用。然而，现有的关于公园游览及驱动因素的研究在很大程度上忽略了公园的分类。本研究以广州的四级公园体系为例，首先基于手机信号数据测量公园游览情况。然后，基于地理探测器模型全面调查并比较了驱动因素对四类公园游览的独立影响和交互影响。因子探测器模型初步区分了各类公园的功能和作用差异。自然公园和城市公园功能更强，社区公园和口袋公园主要为附近居民提供便利的休闲空间。交互探测器进一步揭示了四类公园在公园游览驱动因素方面的差异。最显著的发现是，附近的娱乐设施是自然公园和城市公园使用情况的关键，而社区公园和口袋公园游览量的决定因素是周边人口。基于这些发现，该研究为各类公园推荐了量身定制的策略，以促进有效管理并提高利用率。特别是，该研究强调了理解公园类型差异以及制定定制策略以最大化城市公园效益并培育健康可持续城市环境的重要性。
