با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
داده های بزرگ - big data
سال انتشار:
2020
عنوان انگلیسی مقاله:
Deciphering the recreational use of urban parks: Experiments using multi-source big data for all Chinese cities
ترجمه فارسی عنوان مقاله:
رمزگشایی استفاده تفریحی از پارک های شهری: آزمایش هایی با استفاده از داده های بزرگ چند منبع برای همه شهرهای چین
منبع:
Sciencedirect - Elsevier - Science of the Total Environment, 701 (2020) 134896: doi:10:1016/j:scitotenv:2019:134896
نویسنده:
Fangzheng Li a,⇑, Fengyi Li b, Shuangjin Li c, Ying Long d,⇑
چکیده انگلیسی:
China’s rapid urbanization process has accentuated the disparity between the demand for and supply of
its park recreational services. Estimations of park use and an understanding of the factors that influence it
are critical for increasing these services. However, the data traditionally used to quantify park use are
often subjective as well as costly and laborious to procure. This paper assessed the use of parks through
an analysis of check-in data obtained from the Weibo social media platform for 13,759 parks located in all
287 cities at prefecture level and above across China. We investigated how park attributes, accessibility,
and the socioeconomic environment affected the number and density of park check-ins. We used multiple
linear regression models to analyze the factors influencing check-ins for park visits. The results
showed that in all the cities, the influence of external factors on the number and density of check-in visits,
notably the densities of points of interest (POIs) and bus stops around the parks was significantly positive,
with the density of POIs being the most influential factor. Conversely, park attributes, which included the
park service area and the landscape shape index (LSI), negatively influenced park use. The density of POIs
and bus stops located around the park positively influenced the density of the recreational use of urban
parks in cities within all administrative tiers, whereas the impact of park service areas was negative in all
of them. Finally, the factors with the greatest influence varied according to the administrative tiers of the
cities. These findings provide valuable inputs for increasing the efficiency of park use and improving
recreational services according to the characteristics of different cities.
Keywords: Weibo check-ins | Park attributes | Regression models | Park usage | China
قیمت: رایگان
توضیحات اضافی:
تعداد نظرات : 0