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作 者:张朝阳 李翔宇 翁阳 黄竞雄 党安荣[1] ZHANG Chaoyang;LI Xiangyu;WENG Yang;HUANG Jingxiong;DANG Anrong(School of Architecture,Tsinghua University,Beijing 100084,China)
机构地区:[1]清华大学建筑学院,北京100084
出 处:《时空信息学报》2024年第6期773-784,共12页JOURNAL OF SPATIO-TEMPORAL INFORMATION
基 金:国家自然科学基金重点项目(52130804);清华大学首都高端智库课题(A-20230216)。
摘 要:随着城市进入高质量发展阶段,公园绿色绅士化现象对其影响逐步显现,掌握影响模式对城市公园规划建设具有重要的意义;现有研究多基于单一的社会经济数据,鲜有利用时空数据的相关研究。本文基于多源时空数据,以北京市六环内的六个大型公园为例,从空间视角探究其绿色绅士化现象及空间特征。首先,利用空间双重差分法分析泛城市化的影响,以土地利用类型、路网密度、兴趣点密度等指标分析绿色绅士化现象;其次,通过主成分分析法得出绿色绅士化强度的空间指标,并构建绿色绅士化评估指标体系,并通过分析公园周边用地变化情况揭示绿色绅士化的空间分布特征和变化模式;最后,为大型公园的规划建设提出相关建议。结果表明:研究区北边大型公园的绅士化程度普遍高于南边;绿色绅士化的空间分布呈现中心辐射分布和外围优势分布两种类型,且存在绿地协同增加和建设强度增加的共同变化模式。As China progresses towards high-quality development,gentrification-especially green gentrification-has become increasingly influential in urban areas,necessitating a comprehensive investigation.Previous studies on green gentrification primarily utilized socio-economic data for their indicator systems,leading to two significant issues:A lack of localization and low spatiotemporal precision.This research aims to develop a more tailored indicator system for the domestic context using multi-source spatiotemporal data.Employing this system,the study examines six large urban parks within Beijing’s Sixth Ring Road to explore their spatial patterns and distribution characteristics,offering new perspectives for understanding green gentrification in China and providing preliminary planning recommendations.This study begins by constructing a spatial data-based indicator system through a literature review and theoretical derivation,encompassing three main categories:land use,road networks,and points of interest(POI).Multi-year satellite imagery of Beijing from Google Maps is analyzed and classified into different types of land use,while multi-year road network and POI data are sourced from Gaode Map(Amap).Based on the collected data,the study undertakes three primary tasks.First,validation:The presence of green gentrification around Beijing’s parks is assessed using the spatial difference-in-differences(SDID)model,which isolates the effects of large park development from other urban factors.Second,measurement:The extent of green gentrification is quantified by deriving a composite index from the three indicators through principal component analysis(PCA).Third,analysis:The spatial distribution of green gentrification is examined through multi-scale spatial analysis in ArcGIS,identifying its distribution patterns.After controlling for external influences,green gentrification is confirmed around the six large urban parks in Beijing.Results also indicate that the degree of gentrification is generally higher in parks located
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