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首页> 外文期刊>Landscape and Urban Planning >Recreational visits to urban parks and factors affecting park visits: Evidence from geotagged social media data
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Recreational visits to urban parks and factors affecting park visits: Evidence from geotagged social media data

机译:对城市公园的娱乐访问和影响公园访问的因素:来自地理位置的社交媒体数据的证据

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摘要

Quantifying park use and understanding its driving factors is crucially important for increasing park use and thus human well-being. Previous studies have investigated the effects of different physical and sociocultural factors on park usage using visitor surveys and direct observations of park users, which are usually site specific and time consuming. We quantified and compared the number of visits for different types of parks in Beijing using freely available geotagged check-in data from social media. We investigated how park attributes, park location, park context and public transportation affected the number of park check-in visits, using multiple linear regressions. Despite potential biases in the use of social media data, using a park typology, we found that the number of visits was significantly different among different types of parks. While cultural relics parks and large urban parks had larger numbers of visits, neighborhood parks had higher visitation rates per unit of area. Park size and entrance fees were associated with increased numbers of visits for all types of parks. For parks that mainly serve local residents, the distance to urban center significantly affected park use. The number of bus stops was positively correlated with park visits, suggesting that increased accessibility through public transportation leads to more visits. The results indicated that improving park accessibility via public transportation and planning small, accessible green spaces in residential areas were effective in improving park use.
机译:量化公园使用和了解其驱动因素对于增加公园使用以及人类福祉至关重要。以前的研究已经研究了不同物理和社会文化因素对公园使用的影响,以及公园用户的直接观察,通常是特定和耗时的。我们量化并比较了北京不同类型公园的访问次数,使用来自社交媒体的自由可用的地理标记的登记数据。我们调查了如何使用多元线性回归的公园属性,公园位置,公园背景和公共交通影响了园区登记次数的次数。尽管在使用社交媒体数据的潜在偏见,但使用公园类型的使用,我们发现访问的次数在不同类型的公园之间具有显着差异。虽然文物公园和大型城市公园的访问量大了,但邻里公园每单位面积较高。公园大小和入学费用与各类公园的访问量增加有关。对于主要为当地居民提供服务的公园,与城市中心的距离显着影响公园使用。巴士站的数量与公园访问正相关,这表明通过公共交通的可访问性导致更多的访问。结果表明,通过公共交通和规划的公共交通和规划的公园可访问性,在住宅区的公共交通和规划的小型空间,在改善公园使用方面有效。

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