The Location and Built Environment of Cultural and Creative Industry in Hangzhou, China: A Spatial Entropy Weight Overlay Method Based on Multi-Source Data

被引:5
|
作者
Wu, Dandan [1 ,2 ]
Wu, Yang [1 ]
Ni, Xinxin [3 ]
Sun, Yuandan [4 ]
Ma, Renfeng [2 ]
机构
[1] East China Normal Univ, Sch Business Adm, Shanghai 200062, Peoples R China
[2] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China
[3] Tourism Coll Zhejiang China, Dept Int Hotel Management Qiandaohu, Hangzhou 311231, Peoples R China
[4] Ningbo Univ, Sch Teacher Educ, Ningbo 315211, Peoples R China
基金
中国国家自然科学基金;
关键词
creative field; location theory; urban built environment; new economy; Hangzhou; TACIT KNOWLEDGE; INNOVATION; CLUSTERS; DIVERSITY; ECONOMY; GROWTH; PLACE; SPACE;
D O I
10.3390/land11101695
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Quantitative identification of the location of cultural and creative industries has always been an important issue in the study of micro-locations in human geography. However, most of the previous studies on the location of cultural and creative industries focused on the macro description of the existing cultural and creative industry and lacked quantitative identification of micro-locations suitable for cultivating and developing cultural and creative industries. Therefore, based on the relevant location theory of cultural and creative industries, the urban creative field strength and its quantitative model are proposed. From the perspective of the built environment, 500 m x 500 m grids were established as analysis units based on multi-source data, including society, economy and geography data, using the geographic information system (GIS) analysis technology and spatial entropy weight overlay method to describe and visualize the micro-locations of urban cultural and creative industries. Based on the empirical study in Hangzhou, the following can be concluded: (1) the study method of "single index measurement-entropy method weighting-space weighted summation-hot spot analysis" constructed can quantitatively identify the micro-location of urban cultural and creative industries. It proves that the research framework proposed is scientifically valid. (2) The overall field strength of the creative field in Hangzhou has a circular structure with multiple centers, gradually decreasing outward from the main urban area of Hangzhou, with the sub-centers of the creative field scattered around the core urban area. The most suitable location for the cultivation and development of cultural and creative industries in Hangzhou is located in Wensan District as the core area, which includes Wensan Road, Xueyuan Road, Wulin Square, Hangzhou Future City-Xixi Wetland, etc. (3) The location around the provincial/city/district government land is the core area of creative field strength, which is more suitable for the development of cultural and creative industries. The farther from the core area, the smaller the creative field strength is, and the more obvious the attenuation of distance is.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Spatial evolution of water transportation industry based on multi-source data: understanding the structural consolidation and integration demand in coastal cities
    Wang, Peng
    Zhang, Qin
    Cai, Yan
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2023, 29 (3-4): : 817 - 835
  • [42] An STP-HSI index method for urban built-up area extraction based on multi-source remote sensing data
    Bu, Lijing
    Dai, Dong
    Tu, Liying
    Zhang, Zhengpeng
    Deng, Mingjun
    Xie, Xinyu
    ROYAL SOCIETY OPEN SCIENCE, 2022, 9 (11):
  • [43] Multi-source data-based spatial variations of blue and green water footprints for rice production in Jilin Province, China
    Bo Li
    Lijie Qin
    Jianqin Wang
    Yongcai Dang
    Hongshi He
    Environmental Science and Pollution Research, 2021, 28 : 38106 - 38116
  • [44] Spatial variability of soil salinity based on multi-source data for typical zone of flood area of the Yellow river in central China
    Wu, Yakun
    Liu, Guangming
    Yang, Jingsong
    Yu, Shipeng
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2015, 31 (05): : 115 - 120
  • [45] Multi-source data-based spatial variations of blue and green water footprints for rice production in Jilin Province, China
    Li, Bo
    Qin, Lijie
    Wang, Jianqin
    Dang, Yongcai
    He, Hongshi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (28) : 38106 - 38116
  • [46] Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China
    ZHAO Fei-fei
    HE Man-chao
    WANG Yun-tao
    TAO Zhi-gang
    LI Chun
    Journal of Mountain Science, 2022, 19 (01) : 253 - 275
  • [47] Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China
    Fei-fei Zhao
    Man-chao He
    Yun-tao Wang
    Zhi-gang Tao
    Chun Li
    Journal of Mountain Science, 2022, 19 : 253 - 275
  • [48] Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China
    Zhao Fei-fei
    He Man-chao
    Wang Yun-tao
    Tao Zhi-gang
    Li Chun
    JOURNAL OF MOUNTAIN SCIENCE, 2022, 19 (01) : 253 - 275
  • [49] Improved Daily Spatial Precipitation Estimation by Merging Multi-Source Precipitation Data Based on the Geographically Weighted Regression Method: A Case Study of Taihu Lake Basin, China
    Pan, Yi
    Yuan, Qiqi
    Ma, Jinsong
    Wang, Lachun
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
  • [50] ABAFT: an adaptive weight-based fusion technique for travel time estimation using multi-source data with different confidence and spatial coverage
    Respati, Sara
    Chung, Edward
    Zheng, Zuduo
    Bhaskar, Ashish
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 28 (06) : 867 - 880