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李浪姣(博士生)、杜清运的论文在URBAN FORESTRY & URBAN GREENING刊出
发布时间:2023-10-30 15:27:03     发布者:易真     浏览次数:

标题: Geolocated social media data for measuring park visitation in Shenzhen, China

作者: Li, LJ (Li, Langjiao); Du, QY (Du, Qingyun); Ren, F (Ren, Fu); Huang, L (Huang, Lei); Voda, M (Voda, Mihai); Ning, PF (Ning, Pengfei)

来源出版物: URBAN FORESTRY & URBAN GREENING  : 88  文献号: 128069  DOI: 10.1016/j.ufug.2023.128069  出版年: OCT 2023  

摘要: Understanding park visitation patterns and factors that correlate with park use is conducive to urban green space management and planning. Although a growing number of studies have indicated geolocated social media can be used as a proxy for recreational use analysis, most of them relied on a single or similar social media platform(s). In this study, we used geolocated social media data among four popular platforms in China to estimate park visitation and explore the influence of 13 potential factors on park usage in Shenzhen by the geographical detector model. A park visitation index was introduced to estimate park usage, and it indicated large parks, such as natural and city parks, have a higher park visitation index than community parks in Shenzhen. In contrast to the check-in data, the real-time user data has a higher potential to describe park visitation citywide. Our findings demonstrate park size, sports and recreation amenities, the length of trails, and the nearby building density of a given park are likely to influence park visitation. The enhanced interactive relationship of 13 potential determinants of park usage can provide implications for urban park management and planning.

作者关键词: Geographical detector model; Park visitation; Shenzhen; Social media; Urban park

地址: [Li, Langjiao; Du, Qingyun; Ren, Fu; Huang, Lei; Ning, Pengfei] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Du, Qingyun; Ren, Fu] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Du, Qingyun; Ren, Fu] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Du, Qingyun] Wuhan Univ, Key Lab Digital Mapping & Land Informat Applicat E, Natl Adm Surveying Mapping & Geoinformat, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Du, Qingyun] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Voda, Mihai] Univ Oradea, Dept Geog Tourism & Terr Planning, Fac Geog Tourism & Sport, Oradea 410087, Romania.

[Voda, Mihai] Dimitrie Cantemir Univ, Geog Dept, Targu Mures 540545, Romania.

通讯作者地址: Du, QY (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址: qydu@whu.edu.cn

影响因子:6.4


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