Analysis of spatial structure and influencing factors of the distribution of national industrial heritage sites in China based on mathematical calculations

被引:32
|
作者
Zhang, Jiazhen [1 ]
Cenci, Jeremy [1 ]
Becue, Vincent [1 ]
Koutra, Sesil [1 ,2 ]
机构
[1] Univ Mons, Fac Architecture & Urban Planning, Rue Havre 88, B-7000 Mons, Belgium
[2] Univ Mons, Fac Engn, Erasmus Mundus Joint Master SMACCs, Rue Havre 88, B-7000 Mons, Belgium
关键词
Mathematical calculation; Industrial heritage; Influencing factor; Kernel density; List of national industrial heritage; Spatial distribution characteristics; KERNEL DENSITY-ESTIMATION; ADAPTIVE REUSE; LANDSCAPE; RECONSTRUCTION; CULTURE; CITIES; CITY;
D O I
10.1007/s11356-021-17866-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An in-depth analysis of the spatial distribution characteristics and overall pattern of industrial heritage sites in China provides not only a comprehensive understanding of the current status of industrial heritage but also a reference for its protection and ongoing utilization. A total of 170 industrial heritage sites that were included in the List of National Industrial Heritage of China were selected as the research objects. Their spatial structure characteristics were quantitatively analyzed based on a kernel density analysis of ArcGIS and imbalance and Gini coefficient index of function calculations. The results show that the distribution of industrial heritage sites in China presents a strong aggregation trend and a distribution pattern of four cores, six centers, and multiple scattered points. The distribution of industrial heritage sites in 34 administrative regions is extremely imbalanced. A total of 170 industrial heritage sites are distributed across 27 administrative regions; 52.35% are concentrated in the East and Southwest divisions. According to the index definitions, this research analyzed their influencing factors from perspectives of the natural and social environments. The results show that the industrial heritage sites in China are mainly distributed in traditional agricultural and commercial areas with rich natural or water transport resources. The current study of major historical events in modern China and the growth curve of industrial heritage concludes that China's industry has experienced five stages of development: Ancient, Beginning, Accelerated Development, Climax, and Slowdown. The geographical divisions and distribution of categories show colonial and socialist characteristics.
引用
收藏
页码:27124 / 27139
页数:16
相关论文
共 50 条
  • [31] Analysis of spatiotemporal changes in cultural heritage protected cities and their influencing factors: Evidence from China
    Cao, Jing
    Li, Tan
    ECOLOGICAL INDICATORS, 2023, 151
  • [32] Analysis of spatial distribution characteristics and main influencing factors of heavy metals in road dust of Tianjin based on land use regression models
    Yuan, Xuesong
    An, Tongtong
    Hu, Beibei
    Zhou, Jun
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (01) : 837 - 848
  • [33] Heterologous spatial distribution of soil polycyclic aromatic hydrocarbons and the primary influencing factors in three industrial parks
    Ren, Helong
    Su, Peixin
    Kang, Wei
    Ge, Xiang
    Ma, Shengtao
    Shen, Guofeng
    Chen, Qiang
    Yu, Yingxin
    An, Taicheng
    ENVIRONMENTAL POLLUTION, 2022, 310
  • [34] Spatial distribution and influencing factors of rural cultural ecosystem services: a case study of Fujian, China
    Li, Congzhi
    Pan, Ying
    Yin, Weilun
    Lan, Siren
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [35] Distribution Characteristics and Influencing Factors of the National Comprehensive Disaster-Reduction Demonstration Community in China
    Su, Haoran
    Liu, Chang
    Dai, Donghui
    Chen, Wenkai
    Zhang, Zhen
    Wang, Yaowu
    LAND, 2023, 12 (08)
  • [36] Spatial Distribution Patterns and Influencing Factors of PM2.5 Pollution in the Yangtze River Delta: Empirical Analysis Based on a GWR Model
    Wang, Meixia
    Wang, Huiping
    ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2021, 57 (01) : 63 - 75
  • [37] Spatial distribution and influencing factors of settlements in the farming-pastoral ecotone of Inner Mongolia, China
    Peng, Yu
    Wang, Qinghui
    ECOSYSTEM HEALTH AND SUSTAINABILITY, 2020, 6 (01)
  • [38] Analysis of Spatial Differences and the Influencing Factors in Eco-Efficiency of Urban Agglomerations in China
    Liu, Danyu
    Zhang, Ke
    SUSTAINABILITY, 2022, 14 (19)
  • [39] Spatial effects and influencing factors of urban sustainable development: An analysis of urban agglomerations in China
    Du, Xiaosen
    Zhou, Jing
    Xiao, Chengyou
    ECONOMIC ANALYSIS AND POLICY, 2024, 81 : 556 - 575
  • [40] Structure characteristics and influencing factors of China's carbon emission spatial correlation network: A study based on the dimension of urban agglomerations
    Dong, Jia
    Li, Cunbin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 853