首页|Spatial identification and evaluation of rural vitality from a function-element-flow perspective:Evidence of Lin'an district in Hangzhou,China

Spatial identification and evaluation of rural vitality from a function-element-flow perspective:Evidence of Lin'an district in Hangzhou,China

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
Rural vitality is the life force expressed by a combination of endogenous dynamics and external influences.Exploring the complex relationship between rural functions,elements and flows could achieve sustainable rural development.This study constructed a theoretical framework guided by the four functions of production,living,ecology and culture with the support of mobile big data.Furthermore,the network centrality of villages was estimated to reflect the intensity of urban-rural social mobility ties.The results indicated marked spatial disparities in rural vitality,and the coupling of ecological-cultural vitality has a high degree of coherence.Four rural vitality grades were identified:high level(38,14.08％),medium-high level(66,24.44％),medium-low level(110,40.74％)and low level(56,20.74％),covering 270 administrative village units.The flow intensity of social linkage elements is consistent with rural vitality and the socioeconomic spillover effect of urban centers on neighboring villages was noticeable.Topographic complexity negatively affected the living function,mainly in the T1 and T2 terrain gradients;the rural ecological function was not fully correlated with urban adjacency,and proximity could lead to adverse effects such as urban sprawl and resource destruction.The application of this study is to explore the importance of"flow"by utilizing mobile big data to refine the evaluation unit to the village scale.Accelerating the construction of network coverage and information interconnection and promoting the elemental flow of people,transportation and information between urban and rural areas are important ways to enhance rural vitality.

rural vitalityrural multifunctionelementsurban-rural flowsmobile big data

ZHANG Jing、GUAN Chenyue、ZHANG Lin、YU Zhoulu、YE Chengxuan、ZHU Congmou、LI Sinan、WANG Ke、GAN Muye

展开 >

Institute of Applied Remote Sensing and Information Technology,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310058,China

Zhejiang Key Research Laboratory of Agricultural Remote Sensing and Information Technology,Hangzhou 310058,China

Shandong(Linyi)Institute of Modem Agriculture,Linyi 276000,Shandong,China

Huzhou Spatial Planning Preparation and Research Center,Huzhou 313000,Zhejiang,China

Zhejiang Digital Governance Space Planning and Design Co.,Ltd.,Hangzhou 310000,China

Department of Land Resources Management,Zhejiang Gongshang University,Hangzhou 310018,China

展开 >

National Natural Science Foundation of China

41971236

2024

10.1007/s11442-024-2246-7

地理学报(英文版)
中国地理学会,中国科学院地理科学与资源研究所

地理学报(英文版)

CSTPCD
影响因子：1.307
ISSN：1009-637X
年,卷(期)：2024.34(6)