| 摘要: |
| 绿地“冷岛效应”对于改善城市热
环境具有重要意义。为通过优化绿地布局提
升绿地系统冷岛效应，文章以高新区绿地系
统规划为例，在规划语境下以“规模”为核
心变量建立冷岛范围预测模型，结果表明两
者呈反正切函数关系；结合复杂网络方法，
探索形成以绿地斑块为“节点”、以斑块间
冷岛范围在空间上的重叠关系为“边”的冷
岛网络建构路径；从系统、子群、个体三个
维度分析高新区冷岛网络特征发现，其冷岛
网络整体集聚性差、3 大子群的节点连通效
率差异显著、系统内除寨山坪节点外缺少高
中心度节点；将“冷岛网络”与研究区现状
热环境叠加识别出降温“盲区”，并以强化
系统整体冷岛效应为导向，提出打造区域结
构绿网、织补绿网降温盲区、调控绿地空间
形态的绿地系统布局优化策略。研究结果可
为城市绿地系统规划以及相关标准制定提供
参考依据。 |
| 关键词: 绿地系统 冷岛网络 复杂网络分
析 热环境 布局优化策略。 |
| DOI：10.13791/j.cnki.hsfwest.20241219003 |
| 分类号: |
| 基金项目: |
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| Construction and application of the “Cold Island Network” in urban green space systembased on planning layout: A case study of the green space special plan in Chongqing HighTech Zone |
|
WANG Li,WU Lingli,WANG Huai,HAN Guifeng,LI Ping
|
| Abstract: |
| Under the dual challenges posed by global climate warming and the accelerating pace of
urbanization, the urban heat island effect has emerged as an increasingly severe environmental
issue, exerting profound impacts on urban thermal comfort, ecological sustainability, and public
health. In this context, the cold island effect of urban green spaces—referring to their capacity to
mitigate local air temperatures through ecological and microclimatic regulation—has garnered
significant attention for its potential to alleviate urban thermal stress, enhance urban climate
resilience, and contribute to the creation of livable, low-carbon urban environments. However,
despite its recognized value, there remains a lack of systematic planning approaches and analytical
models to quantify and optimize the spatial configuration of green spaces in a way that fully
leverages their collective cold island functionality. Against this background, this study took the
urban green space system as its principal research subject, and sought to explore, from the
perspective of spatial planning and ecological network theory, the mechanisms, structural patterns,
and optimization strategies that could enhance the overall cold island effect of such systems at the
city scale. Building upon the foundational ecological mechanism of “networking” —which
optimizes ecosystem performance through the integration of functional elements and the
strengthening of inter-patch synergies—this study introduced the innovative notion of a “cold
island network”. This concept posits that the cold island effects of individual green space patches
are not isolated phenomena, but rather function as interconnected spatial entities whose synergistic
interactions can significantly reinforce the systemic cooling performance of urban green spaces. In
order to translate this conceptual framework into a planning-oriented methodology, the study first
constructed a predictive model of green space cold island extent, using patch size as the core
explanatory variable. The model, developed within a planning discourse that prioritizes operability
and policy relevance, revealed that the spatial extent of cold island effects demonstrates an inverse
tangent functional relationship with green patch size, thereby providing a quantitative basis for
defining and measuring the potential spatial cooling radius of individual green spaces, which in
turn visualized the spatial distribution of the green spaces’ cold island effect. Subsequently, using
the green space system planning of Chongqing High-tech Zone as a case and employing tools from
complex network analysis, this research constructed a cold island effect network model by
conceptualizing green space patches as “nodes” and regarded the spatial overlap of their cold
island extents as “edges”. Through a multi-scale analytical framework encompassing the system
level, the subgroup level, and the individual node level, the study identified several key structural
characteristics of the existing cold island network in the study area. These included a generally lowlevel of overall network integration, significant divergence in connection efficiency among the three major subgroups, and a notable absence of highcentrality
nodes—except for the Zhaishanping subgroup—which are typically essential for maintaining network coherence and maximizing the spatial
coverage of cold island effect from green spaces. In the final stage of analysis, the constructed cold island network was overlaid with the current spatial
distribution of heat islands in the study area, thereby enabling the identification of critical cooling “blind spots” —areas where cold island effects are
absent. Based on this integrated spatial diagnosis, the study proposed a set of three targeted planning strategies aimed at optimizing the spatial layout and
functional connectivity of the green space system, with the overarching goal of enhancing its systemic cold island performance. These strategies included:
1) constructing a regionally structured green network that improves macro-level spatial continuity and functional integrity; 2) strengthening intra-group
connectivity to weave ecological links across cooling blind spots; and 3) regulating the morphological characteristics and spatial orientation of green
patches in order to amplify cold island effect at the node level. By introducing a novel framework that combines predictive modeling with network-based
spatial analysis, this study does not only offer a new theoretical and methodological lens for understanding and enhancing the cooling performance of urban
green spaces, but also provides practical support for planners and policymakers tasked with mitigating urban thermal risks, and presents valuable references
for the development of related standards in green space planning and design. |
| Key words: green-space system cold island network complex network analysis method thermal environment optimization strategy of planning layout |
