交通影响下的城市绿地格局发展研究综述

城市绿地空间是城市可持续发展的基础,也是人居环境质量的保障体系。绿地空间格局受到城市总体规划的限制,并在城市发展的过程中与交通网络建设紧密相关。主要体现在以下两个方面:交通网络规划决定城市绿地格局形态,并影响着绿地分布的合理性;绿地格局限制并影响交通网络的建设,进而引导城市交通向着绿色、高效的方向发展。这两大体系的和谐发展决定着城市的有效、健康运转。

热岛效应下济南中心城绿地格局优化研究

城市热岛效应在城市化和工业化迅速发展的今天不断演变加剧,成为对现代城市环境产生显著影响的生态问题之一。城市绿地在缓解城市热岛效应方面具有持久性作用。本文以济南中心城为例,分析济南中心城绿化覆盖率、绿地面积和绿地布局形式对城区热岛效应的影响,并提出提高城区绿化覆盖率、完善城区绿色基础设施、改善城区绿道系统及优化绿地布局等绿地格局优化策略,以期为济南中心城的热岛效应研究及城区绿地布局规划提供参考。

基于“源-汇”理论的城市绿地空间格局构建与优化研究

在城市生态环境面临巨大挑战的背景下,构建合理的城市绿地空间格局是提升城市生态安全和实现可持续发展的重要保障。＂源-汇＂理论作为景观生态学中定量探究景观格局与生态过程动态平衡的理论,在城市空间格局规划中的应用前景广阔。作者通过梳理国内外绿地空间格局的相关研究,发现绿地空间格局的作用机制与＂源-汇＂理论的基本概念存在一定关联性。因此,本文尝试将＂源-汇＂理论应用于绿地空间格局的构建和优化研究中,首先,对绿地空间格局语义下＂源-汇＂理论进行解读。在此基础上,以北京市中心城区为例,依据＂源-汇＂理论的相关原理,划分＂源＂＂汇＂景观,构建最小累计阻力模型,以识别生态源地、生态廊道和生态节点,并分别作为基质、廊道和斑块,从而构建城市绿地空间格局。最后,结合生态适宜性评价的分析方法与北京市绿地系统规划对研究区绿地空间格局进行修正,形成优化后的北京市中心城区绿地空间格局。研究以定量与定性相结合的方式,以期为城市绿地系统规划提供一定参考依据。

The Scale-Effects of Different Land Use Types on the Distribution Pattern of Park Green Space at Multiple Grid Scales-A Case Study on the Main Urban Area of Nanjing,China

Exploring the scale-effect of different land use types on the distribution pattern of urban park green space(PGS)at multiple grid scales would inform rational allocation and efficient collaborative construction of urban development land at different scales.Selecting 300-m,500-m,1,000-m,and 2,000-m grid scales,the research employed Create Fishnet tool in ArcGIS and Geodetector to construct a scale-effect analysis framework that revealed the scale-effects of different land use types on the distribution pattern of PGS at multiple grid scales in the main urban area of Nanjing,China in 2006,2012,and 2017.Main research results are:1)the overall distribution pattern of PGS showed the evolution characteristics from polarization to advancing quality and efficiency,while the trend gradually weakened with the increase of grid scale;2)the scale-effect of other land use types on PGS increasingly enhanced-the larger the grid scale,the more obvious the synergistic or compressive effect;3)the interactive scaleeffects of different land use types gradually enhanced-the larger the grid scale,the more significant the overall factor interaction;and 4)at the 300-m grid scale,the major interaction factors were residential,transportation,industrial/manufacturing,water area,and administration/public services,which gradually changed to residential,water area,and administration/public services up to the 2,000-m grid scale.The findings of this paper are expected to deepen the theory of the coupling between PGS and other land use types,as well as provide scientific support and a basis for efficient allocation,spatial layout optimization,and sustainable development of urban spaces.