基于多源新数据的城市绿地多尺度评价：针对中国主要城市的探索
Muiti-scale Evaluation of Urban Green Space Based on Muti-source New Data：Exploration of Main Cities in China
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摘要: 城市绿地的科学评价为绿地规划及管理提供数据支撑，对建设可持续发展的健康城市有着重要的作用。本文提出在新数据环境下对城市绿地建立形态、品质、活力及服务水平等方面的评估指标体系，并且在“大模型”的理论基础上，对中国287个地级及以上城市中心城范围内的绿地进行多尺度的评估，同时选取遵义进行城市绿地品质和活力的案例研究。研究解决了城市绿地空间数据的提取、城市中心城范围的界定等关键问题，使城市绿地的评估更具客观性、统一性和可比性。结果表明：在绿地斑块尺度，中国城市绿地整体紧凑度较高，且多数绿地分布在市中心附近。在城市尺度，中国城市平均绿地服务水平为57.45%，其中副省级城市绿地服务水平普遍较高，地级市最低。本文分析得出中国区域城市绿地格局的不足与问题，以期为未来城市绿地的建设提供参考。Abstract: The scientific evaluation of urban green space provides data support for green space planning, and plays an important role in building sustainable and healthy city. This paper develops an indicator system for evaluating the urban green space under the new data environment, from the perspectives of shape, quality, vitality and services. Based on the theory of “Big Model”, it carries out multi-scale assessments of the green space in downtown areas of 287 Chinese cities, and takes Zunyi as a case study for evaluating the quality and vitality of urban green space. To make the research more objective, unified and comparable, it solves key issues including the extraction of spatial data of urban green space, and the definition of downtowns. The results show that at the scale of green patch, the overall compactness of urban green space is high, and most green spaces are located near the city center. At the urban scale, the average service level of urban green space of 287 Chinese cities is 57.45%, while the sub-provincial cities have higher average service level, and the prefecture-level cities have the lowest service level. This paper analyzes the shortages and problems of the regional urban green space to provide reference for the construction of urban green space in the future.
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Keywords:
- landscape architecture /
- urban green space /
- multi-scale /
- multi-source data /
- urban health
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