The Impact of Commercial-Industry Development of Urban Vitality: A Study on the Central Urban Area of Guangzhou Using Multisource Data

被引:5
|
作者
Liu, Lixin [1 ]
Dong, Yanjun [1 ]
Lang, Wei [1 ,2 ]
Yang, Huiyu [3 ]
Wang, Bin [1 ]
机构
[1] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510006, Peoples R China
[2] Sun Yat Sen Univ, China Reg Coordinated Dev & Rural Construct Inst, Guangzhou 510275, Peoples R China
[3] Peking Univ, Sch Urban Planning & Design, Shenzhen 518055, Peoples R China
关键词
central urban area; commercial industry; multiple logistic regression; multisource data; Guangzhou; MIXED USE; DENSITY; IDENTIFICATION; BOUNDARY; CBD;
D O I
10.3390/land13020250
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban commercial centers play a critical role in the development of cities, and it is of significant relevance to research the influencing variables of the urban vitality of commercial centers to improve the quality of urban commercial centers. This study employs big data to construct a multiple linear regression model in order to uncover the spatial-distribution characteristics of urban vitality and commercial sectors in commercial centers within the primary urban region of Guangzhou. The findings indicate that the commercial sectors of life, business, finance, and leisure have a substantial influence on the fluctuation of pedestrian flow in commercial centers throughout the day. Conversely, public service commercial sectors do not have a significant impact on pedestrian flow. Furthermore, the effect of various commercial sectors on the vibrancy of urban commercial centers varies, and their performance differs on weekdays and holidays. Additionally, the level of integration among commercial sectors affects the vitality of the city's commercial space. This research presents empirical facts that can be used to optimize the logical allocation of urban commercial resources in urban planning.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Research on Smart Development in Urban Central Axis Area Based on Morphological Typology Method and Environmental Synergy Concept - A Case Study of TIT Creative Park in Guangzhou
    Li, Minzhi
    Wang, Lu
    PROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2017), 2017, 143 : 11 - 20
  • [32] Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone
    Hu, Yunfeng
    Han, Yueqi
    SUSTAINABILITY, 2019, 11 (05): : 1385
  • [33] Extraction and monitoring approach of dynamic urban commercial area using check-in data from Weibo
    Hu, Qingwu
    Bai, Guikai
    Wang, Shaohua
    Ai, Mingyao
    SUSTAINABLE CITIES AND SOCIETY, 2019, 45 : 508 - 521
  • [34] Study on Heat Island Effect in Urban Area of Tianjin Using Landsat Data
    Du, Zitao
    Hao, Lin
    Cao, Yiding
    Du, Chuang
    Yan, Shuqiang
    Yang, Xiaoming
    INTERNATIONAL CONFERENCE ON REMOTE SENSING AND WIRELESS COMMUNICATIONS (RSWC 2014), 2014, : 146 - 151
  • [35] A Study on the Sunshine Environment Around Urban Redevelopment Area Using a GIS Data
    Kang, Jung-Eun
    Park, Soo-Jin
    Kim, Jae-Jin
    KOREAN JOURNAL OF REMOTE SENSING, 2018, 34 (05) : 749 - 762
  • [36] Development of normalized soil area index for urban studies using remote sensing data
    Javed, Akib
    Shao, Zhenfeng
    Bai, Bin
    Yu, Zhuoyang
    Wang, Jiabing
    Ara, Iffat
    Huq, Md. Enamul
    Ali, Md. Yeamin
    Saleem, Nayyer
    Ahmad, Muhammad Nasar
    Sumari, Neema Simon
    Mardia
    GEOFIZIKA, 2023, 40 (01) : 29 - 49
  • [37] Identifying building function using multisource data: A case study of China's three major urban agglomerations
    Zheng, Yue
    Zhang, Xucai
    Ou, Jinpei
    Liu, Xiaoping
    SUSTAINABLE CITIES AND SOCIETY, 2024, 108
  • [38] Exploring Impact of Surrounding Service Facilities on Urban Vibrancy Using Tencent Location-Aware Data: A Case of Guangzhou
    Zhang, Xucai
    Sun, Yeran
    Chan, Ting On
    Huang, Ying
    Zheng, Anyao
    Liu, Zhang
    SUSTAINABILITY, 2021, 13 (02) : 1 - 23
  • [39] Measuring urban poverty using multi-source data and a random forest algorithm: A case study in Guangzhou
    Niu T.
    Chen Y.
    Yuan Y.
    Yuan, Yuan (yyuanah@163.com), 1600, Elsevier Ltd (54):
  • [40] A Method for Selecting the Typical Days with Full Urban Heat Island Development in Hot and Humid Area, Case Study in Guangzhou, China
    Chen, Guang
    He, Minjie
    Li, Nan
    He, Hao
    Cai, Yunnan
    Zheng, Senlin
    SUSTAINABILITY, 2021, 13 (01) : 1 - 15