| 摘要: |
| 快速城市化及城市扩张过程中，城市绿
地生态系统文化服务（CES）供给与公众需求空
间失衡问题日益凸显。如何有效识别城市绿地
文化服务供需空间匹配特征是优化绿地空间布
局、提升绿地服务效率的关键所在。本研究以
重庆市中心城区为研究范围，基于地理空间数
据等多源数据，运用GIS分析技术、空间相关性
分析等方法，构建了城市绿地文化服务供需评
价指标体系和分析框架，识别了山地城市绿地
文化服务供给与居民需求的空间匹配类型。研
究发现CES供给具明显的空间聚集性，全局莫兰指数为0.720，呈现为“大核—次核—小核”的分布形态，CES需求全局莫兰指数为0.834，呈现
中心高外围低、西高东低的空间格局，双变量自相关分析显示供给与需求之间存在空间结构相似
性，CES供需关系整体上较好，但一些关键区域匹配失衡压力较大。根据供需平衡关系特征，将研
究区识别为六类空间类型，并对每种类型提出了CES优化提升路径。研究结果可为山地城市绿地
生态系统文化服务优化路径提供理论支撑与实践借鉴。 |
| 关键词: 多源数据 城市绿地 生态系统文化服务 供需关系 重庆 |
| DOI：10.13791/j.cnki.hsfwest.20240323 |
| 分类号: |
| 基金项目:国家自然科学基金面上项目（42171280） |
|
| The supply-demand relationship of urban green space cultural services based on multisourcedata in Chongqing |
|
SUN Xiufeng,LI Xu,YANG Dewei,HE Yuwen
|
| Abstract: |
| Urban green spaces are an important component of urban natural ecosystems, with
significant ecological, economic, and social value, providing multiple services in both material
and non-material aspects for urban residents. Among the four major service types of ecosystem
supply, regulation, support, and culture, the first three are the living conditions and environment
they provide to humans at the material level, while cultural ecosystem services (CES) are the nonmaterial
benefits they provide at the spiritual level. Research has confirmed that CES can promote
human physical and mental health and contribute to the overall improvement of welfare benefits.
The relationship between human welfare and urban green space CES is not only related to the supply
capacity of green space habitats, but also to the demand level of urban residents within the service
scope. However, in the process of rapid urbanization and urban expansion, there is an imbalance and
mismatch in the total supply and demand and spatial allocation of CES. Relevant studies have shown
that the spatial distribution and correlation of supply-demand of urban green space CES affect its
ecosystem service efficiency. Therefore, effectively identifying the spatial matching characteristics
of supply-demand for urban green space cultural services is the key to improving green space
service efficiency, optimizing green space layout, and promoting high-quality development of living
environment.
At present, the quantitative evaluation of CES supply and demand is still in the exploratory
stage, and there are certain difficulties in constructing the supply and demand relationship of urban
green space CES. Due to significant differences in the scale and indicators of supply and demand
research, there is currently no unified model that can accurately establish a connection between
supply and demand, and the research results are also difficult to provide guidance for coordinating
green space resources in landscape planning practice. Therefore, how to accurately identify the
differences in the current supply and demand situation, effectively match the supply and demand
ends, and achieve supply-demand balance transformation is a problem worthy of attention and
exploration.
Chongqing is a typical mountainous city in China. The “two rivers and four mountains” have
created its unique landscape pattern, with superior green space cultural services and a complex
spatial coupling relationship between population activities and CES supply. In view of this, this
study takes the central urban area of Chongqing as an example, based on multi-source data suchas geospatial data, point of Interest data, and population heat data, and uses GIS analysis technology, spatial correlation analysis, and other methods to
construct a supply and demand evaluation index system and research framework for urban green space CES. The spatial differentiation characteristics
of supply and demand are identified, and an optimization path for urban green space pattern is proposed for the matching scenario of supply and demand
space. It is mainly divided into three steps: 1) identify the spatial distribution of urban green space CES supply from the perspectives of supply potential and
supply opportunities; 2) evaluate the level of CES demand through the spatial distribution characteristics of beneficiaries; 3) reveal the matching pattern and
correlation between CES supply and demand, and explore the rational allocation path of supply and demand. During the analysis process, taking into account
the area and accuracy requirements of the study area, ArcGIS was used to divide the study area into grids, deleting incomplete boundary grids to ensure the
consistency of the analysis standards. Finally, a total of 5 203 1km * 1km grids were created, and the kilometer grid was used as the basic analysis element to
calculate the supply and demand quantity of CES. Spatial information linkage was achieved through extract values to points and spatial connection tools.
The urban green space CES supply and demand evaluation index system constructed in this article can play a positive role in clarifying the current
situation of supply and demand space, actively guiding the formulation of planning strategies, and studying the identification of supply and demand matching
patterns based on grid units, coordinating supply and demand relationships, and identifying supply and demand mismatch areas. This plays an important role
in accurately improving the efficiency of high-density urban green space cultural service supply and meeting human needs through green space optimization.
Finally, the study aims to link the evaluation results of green space CES with urban green space planning responses, which can effectively balance other
services while strengthening natural system protection and urban social system development, and promote high-quality and sustainable development of urban
living environment. Due to limitations in data sources, there are still limitations in the quantification methods of supply and demand indicators. Further
research needs to consider the weight evaluation of different factors and relevant stakeholders, and further explore the construction of supply and demand
evaluation indicator systems at multiple scales, strengthen the analysis of dynamic balance between supply and demand, and apply it in spatial optimization
management. |
| Key words: multi-source data urban green space cultural ecosystem services supply and demand relationship Chongqing |
