Mechanism of change and optimization guidelines of rural community space on the Jianghan Plain from the perspective of complex systems
The sustainable development of rural communities in contemporary China bears particular importance,and understanding the mechanisms of change of rural community spaces is vital for scientific advancement.This study,based on sampling surveys and on-site interviews with rural inhabitants in Jingshan City on the Jianghan Plain,established a comprehensive indicator system with indicators spanning from infrastructure,living environment,to spatial organization.Using system dynamics equations,it primarily focused on the number and matching relationships of living service facilities to evaluate the evolutionary traits and mechanisms of rural community spaces,consequently establishing the optimization goals and paths.The research found that:1)During the study period,the level of rural community living service facilities in the Jianghan Plain greatly improved,with a notable reduction in regional differences.The comprehensive index of rural community space increased from 0.2205 to 0.3742,while the coefficient of variation fell from 0.1700 to 0.0545.The living environment dimension was the largest element in this spatial change,contributing 67.07％,with important contributions from living conditions(43.30％).2)The coordination of rural community space was insufficient,with an overall coordination value of merely 0.0114.Structural matching was inadequate,and the spatial organization coordination index stood at a meager 0.0001.Mutual inhibition between infrastructure and the residential environment(β12＞β21＞0),as well as between the residential environment and spatial organization(β32＞β23＞0),likely inhibited the collaborative change of the rural community spatial systems.3)The rural community areas on the Jianghan Plain demonstrated systematic evolutionary traits.The interim optimization target comprises improving the indices of infrastructure,living environment,and spatial organization to 0.4510,0.6867,and 0.2846 correspondingly,and boosting the overall coordination index to 0.3400.The study provides optimization routes concentrating on the number and matching relationships of rural living service facilities.
万方数据
维普
