Urban Park Proximity

One-Line Summary

The available of big data on human activity is currently changing the way we recognize the surroundings. With popularity of cellphone and access to Internet, individuals can be regarded as Information output terminals with certain locations. Therefore, it is possible to adjust landscape strategy with research on human activities within larger senles.

Description

Taking the parks in Guangahou's core urban areas as the research object. The study area includes four main districts of Guangzhou, and 68 city parks with 1 hectares or more are selected as study objects. The frequency of park visits is described by Micro-blog check-in data, which include individuals coordinate info. So, the points within areas of the study parka can indicate the location of every visitor in the parks. The more points are in parks, the higher frequency of visits the park.