Spatiotemporal Evolution Characteristics and Factors Analysis of Land Intensive Use Level in Chongqing Based on GWR
[Objective]To explore the spatiotemporal evolution pattern and influencing factors of intensive land use in Chongqing from 2014 to 2020.[Method]Taking into consideration the socioeconomic and ecological benefits of intensive land use,a comprehensive evaluation index system was constructed based on four aspects:input intensity,utilization degree,output efficiency,and sustainability.Fifteen indicators were selected to construct the evaluation index system.The entropy weight method was employed to determine the weights of the indicators and cal-culate the degree of intensive land use.The spatiotemporal evolution characteristics of intensive land use in Chongqing from 2014 to 2020 were analyzed,and the GWR model was used to explore its influencing factors.[Result]The overall level of intensive land use in Chongqing showed an increasing trend from 2014 to 2020.Regionally,the main urban area,the northeast,and southeast of Chongqing exhibited an upward trend,while most parts of the central urban area showed fluctuating changes,with only Shapingba District showing a downward trend.The a-nalysis of influencing factors revealed that input intensity had the greatest impact on the level of intensive land use,with significant spatial differences.The coefficient of output efficiency was slightly lower than that of input intensity,followed by sustainability,and finally utilization degree.[Conclusion]The central urban area should plan the urban and rural layout rationally and integrate available arable land.The main ur-ban area serves as the growth pole for the level of intensive land use in Chongqing,playing a role in connecting the central urban area and transmitting to the surrounding areas.It should support the development of scientific agriculture and explore new models of cross-regional agri-cultural cooperation.The northeast and southeast of Chongqing should prioritize green development as their lifeline and focus on ecological en-vironmental protection efforts.
Land intensive useGWRSpatiotemporal evolutionChongqing City
国家科技期刊平台
NSTL
万方数据
