Investigation of the influence mechanism of park usage intensity and flexibility based on multi-source data: a case study of pocket parks in Beijing

被引:2
|
作者
Wang, Xiaoyue [1 ]
Zhang, Xi [1 ]
Sun, Wenzhuo [1 ]
Yi, Caihui [1 ]
Gao, Bingjie [1 ]
Wu, Jingyu [1 ]
Ge, Xiaoyu [1 ]
机构
[1] Beijing Forestry Univ, Coll Landscape Architecture, Beijing, Peoples R China
关键词
Pocket parks; flexibility of use; intensity of use; green space; urban planning; URBAN GREEN SPACES; HIGHRISE;
D O I
10.1080/01426397.2024.2307528
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study selected 24 highly popular pocket parks in Beijing and conducted field research to collect data on park use during weekdays and weekends. SPSS correlation analysis and the development of a decision tree model were used to rank the key factors that influence the flexibility and intensity of park use on weekdays and weekends. The findings indicated that the key factors impacting the flexibility and intensity of park use on weekdays, in order of importance, are seat density, recreation facilities density, land use entropy (LUE), distance to a public toilet, POI density, and 5-min accessibility. On the other hand, the main factors influencing the flexibility and intensity of park use on weekends are 5-min accessibility, seat density, POI density, fitness facilities density, distance to the bus stop, distance to a public toilet, and life service facilities density. These findings offer valuable insights for the study of pocket parks in other cities.
引用
收藏
页码:488 / 505
页数:18
相关论文
共 50 条
  • [1] An Assessment of Urban Residential Environment Quality Based on Multi-Source Geospatial Data: A Case Study of Beijing, China
    Zhang, Shijia
    Xia, Yang
    Li, Zijuan
    Li, Xue
    Wu, Yufei
    Liu, Peiyi
    Du, Shouhang
    LAND, 2024, 13 (06)
  • [2] Exploring the mechanism of coordinated development with multi-source data fusion: a case study in Beijing-Tianjin-Hebei Region, China
    Li, Shujing
    Wei, Yukun
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11
  • [3] Taxi Travel Purpose Estimation and Characteristic Analysis Based on Multi-source Data and Semantic Reasoning - A Case Study of Beijing
    Si, Yang
    Weng, Jiancheng
    Chen, Zhihong
    Wang, Yueyue
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2013 WORKSHOPS, 2014, 8182 : 474 - 492
  • [4] Spatial Optimization of Mega-City Fire Stations Based on Multi-Source Geospatial Data: A Case Study in Beijing
    Wang, Wenda
    Xu, Zhibang
    Sun, Dongqi
    Lan, Ting
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (05)
  • [5] Understanding the Influence of Building Loads on Surface Settlement: A Case Study in the Central Business District of Beijing Combining Multi-Source Data
    Li, Fengkai
    Gong, Huili
    Chen, Beibei
    Gao, Mingliang
    Zhou, Chaofan
    Guo, Lin
    REMOTE SENSING, 2021, 13 (16)
  • [6] Study on Standard Map Index Mechanism Based on Multi-Source GIS Data
    Xiong Wei
    Wu Fang
    Ge Sen
    Li Bin
    ADVANCES IN COMPUTING, CONTROL AND INDUSTRIAL ENGINEERING, 2012, 235 : 49 - +
  • [7] COMPREHENSIVE EVALUATION OF URBAN SPRAWL ON ECOLOGICAL ENVIRONMENT USING MULTI-SOURCE DATA: A CASE STUDY OF BEIJING
    Wang, Hao
    Ning, Xiaogang
    Zhu, Weiwei
    Li, Fei
    XXIII ISPRS CONGRESS, COMMISSION VIII, 2016, 41 (B8): : 1073 - 1077
  • [8] The influence mechanism of urban street environment on juvenile delinquency based on multi-source data fusion: a case study of Manhattan, New York
    Li, Bingcheng
    Li, Gang
    Lan, Li
    Jin, Annan
    Lin, Zhe
    Wang, Yatong
    Chen, Xiliang
    COMPUTATIONAL URBAN SCIENCE, 2024, 4 (01):
  • [9] Estimating carbon emissions in urban functional zones using multi-source data: A case study in Beijing
    Zheng, Yunqiang
    Du, Shihong
    Zhang, Xiuyuan
    Bai, Lubin
    Wang, Haoyu
    BUILDING AND ENVIRONMENT, 2022, 212
  • [10] Exploring temporal and spatial patterns and nonlinear driving mechanism of park perceptions: A multi-source big data study
    Zhao, Xukai
    Huang, He
    Lin, Guangsi
    Lu, Yuxing
    SUSTAINABLE CITIES AND SOCIETY, 2025, 119