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
  • [21] Anomaly Location Model for Aircraft Intensity Detection Based on Multi-source Data Fusion
    Chen, Jiaojiao
    Chang, Liang
    Nie, Xiaohua
    Luo, Lilong
    2023 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, VOL II, APISAT 2023, 2024, 1051 : 1478 - 1489
  • [22] Accessibility Assessment of Buildings Based on Multi-Source Spatial Data: Taking Wuhan as a Case Study
    Yang, Xue
    Cao, Yanjia
    Wu, Anqi
    Guo, Mingqiang
    Dong, Zhen
    Tang, Luliang
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (10)
  • [23] Detailed Mapping of Urban Land Use Based on Multi-Source Data: A Case Study of Lanzhou
    Zong, Leli
    He, Sijia
    Lian, Jiting
    Bie, Qiang
    Wang, Xiaoyun
    Dong, Jingru
    Xie, Yaowen
    REMOTE SENSING, 2020, 12 (12)
  • [24] Measuring Functional Urban Shrinkage with Multi-Source Geospatial Big Data: A Case Study of the Beijing-Tianjin-Hebei Megaregion
    Ma, Qiwei
    Gong, Zhaoya
    Kang, Jing
    Tao, Ran
    Dang, Anrong
    REMOTE SENSING, 2020, 12 (16)
  • [25] Attribute modeling constrained by multi-source data-based 3D geological structural model: A case study in Tongzhou District, Beijing
    Xue T.
    Bao X.
    Zhu X.
    Huang X.
    Earth Science Frontiers, 2023, 30 (03) : 529 - 536
  • [26] Spatio-Temporal Evolution of Urban Expansion along Suburban Railway Lines in Megacities Based on Multi-Source Data: A Case Study of Beijing, China
    Tang, Hongya
    Yan, Xin
    Liu, Tianshu
    Zheng, Jie
    REMOTE SENSING, 2023, 15 (19)
  • [27] Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19
    Yu, Demiao
    Huang, Xiaoran
    Zang, Hengyi
    Li, Yuanwei
    Qin, Yuchen
    Li, Daoyong
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 12 (02)
  • [28] Study on Yield Estimation of Wheat Varieties Based on Multi-Source Data
    Song Cheng-yang
    Geng Hong-wei
    Fei Shuai-Peng
    Li Lei
    Gan Tian
    Zeng Chao-wu
    Xiao Yong-gui
    Tao Zhi-qiang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43 (07) : 2210 - 2219
  • [29] Air Pollution Exposure Based on Nighttime Light Remote Sensing and Multi-source Geographic Data in Beijing
    ZHANG Zheyuan
    WANG Jia
    XIONG Nina
    LIANG Boyi
    WANG Zong
    Chinese Geographical Science, 2023, (02) : 320 - 332
  • [30] Air Pollution Exposure Based on Nighttime Light Remote Sensing and Multi-source Geographic Data in Beijing
    Zhang, Zheyuan
    Wang, Jia
    Xiong, Nina
    Liang, Boyi
    Wang, Zong
    CHINESE GEOGRAPHICAL SCIENCE, 2023, 33 (02) : 320 - 332