应用非线性TOPSIS算法对人类定居点适合性评估在西安市中心,中国西北地区
1School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Ying yong sheng tai xue bao = The journal of applied ecology
|November 6, 2025
概括
我们开发了一种新的非线性方法来评估人类定居的适宜性,并考虑了复杂的指标效应. 这种方法通过确定高适宜性区域并解决空间不平衡,从而完善城市规划.
科学领域:
- 城市规划和空间分析
- 环境科学与可持续发展
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 传统的人类定居点适合性评估与非线性指标效应作斗争.
- 现有的方法往往忽略了边际回报的减少或过度投入的负面影响.
- 精确的城市适用性评估需要一种精细的定量方法.
研究的目的:
- 提出和验证一种非线性技术,通过与理想解决方案相似的顺序偏好 (非线性-TOPSIS),以适应人类定居点.
- 开发一个全面的评估框架,使用城市区块单位和一个多维指标系统.
- 加强对城市优化和治理的空间决策支持.
主要方法:
- 构建了一个评估框架,包含城市区块和自然,经济,生活和建筑维度的指标.
- 应用非线性合适方法 (强度定律,高斯式,β,高斯式混合模型) 来描述指标影响.
- 开发了一个改进的TOPSIS模型,包括非线性函数,并比较权重方法.
主要成果:
- 人类在西安城市核心的适合性显示出正常分布和混合空间模式.
- 确定了高适宜性区域 (17.5%),以平衡的环境和基础设施因素为特征.
- 适用性较低的地区显示了绿化,密度和基础设施的空间不平衡,集中在较旧或欠发达的地区.
结论:
- 非线性TOPSIS方法通过捕捉复杂的关系,可以更准确地评估人类定居的适宜性.
- 该研究提供了一个强大的空间决策支持方法,适用于城市空间优化.
- 调查结果通过突出需要有针对性的改进的领域来支持改进的城市治理战略.
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