首页 | 本学科首页   官方微博 | 高级检索  
     检索      


COVID-19 pandemic changes the recreational use of Moscow parks in space and time: Outcomes from crowd-sourcing and machine learning
Institution:1. Smart Urban Nature Research Center, Agrarian-technological Institute, Peoples'' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, Moscow 117198, Russian Federation;2. Faculty of Geography and Geoinformation Technology, Higher School of Economics (HSE University), 11 Pokrovsky boulevard, 109028 Moscow, Russian Federation;3. Soil Geography and Landscape Group, Wageningen University, 6708PB, Wageningen, the Netherlands;4. BestPlace LLC, Leninskaya Sloboda street, 26/28, Moscow 115280, Russian Federation;5. Laboratory of carbon monitoring in terrestrial ecosystems, Institute of Physicochemical and Biological Problems of Soil Science of the Russian Academy of Sciences, Institutskaya str., 2 142290, Pushchino,;6. Independent Researcher, Russian Federation;7. Kadyrov Chechen State University, 32 Sheripova st., Grozny, Chechen Republic 364093, Russian Federation
Abstract:The limited access to urban green spaces during the COVID-19 pandemic had a negative impact on the human-nature interaction in cities and human well-being. Number of visitors to green areas, initially declined due to imposed restrictions, was restored after they were lifted as established by several studies across the globe However, little is still known about changes in behavior and preferences of park visitors in the post-COVID time. In this study, we investigated spatial-temporal patterns of recreational activities in the three urban parks in Moscow (Russia) prior, during and after the COVID-19 lockdown (in 2019 and 2020). The selected parks represent two different types: a centrally located park with much infrastructure and open landscapes (Gorky Park) and parks located at the outskirts of the city center with a more forested landscape and little infrastructure (Timiryazevski and Sokolniki parks). Recreational activities were identified based on the analysis of social media photos using machine-learning algorithms. As expected, park closures during lockdown resulted in overall decrease in the number of taken photos. After the parks were re-opened, however, the number of photos did not grow immediately. The number of photos only restored after almost three months, and the visiting peak shifted to autumn. Differences between parks were related to the type of the park and its landscape structure. The lowest decrease in the number of photos was observed for the Timiryazevsky park – a semi-natural green area, while the centrally located Gorky Park was the most affected, likely due to the strictest control measures. In comparison to 2019, photos in 2020 were more evenly distributed across the area in all the three parks. Besides, ‘natural’ areas became the main attractors for the visitors - photos under ‘nature observation’ category became the most popular. Spatial distribution of the recreational activities in post-lockdown period was characterized by larger distances between photos, likely corresponding to the social distancing. COVID-19 pandemic highlighted the value of green areas for citizens, but also changed their recreational preferences and overall behavior in parks. The observed shift from high density of visitors around entertainments and attractions in 2019 to a more homogeneous and less dense distribution along the natural zones in 2020 reveals a new pattern in visitors behavior and preference, which shall be considered in spatial planning of the parks. Increasing availability of natural green areas and their integration in urban green infrastructures can become the most relevant policy to consider the crucial role of urban nature as a source of resilience in turbulent times.
Keywords:Cultural ecosystem services  Green infrastructure  Social media  Visitation  Urban green spaces (UGS)
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号