摘要
基于景观融合视角构建建设用地适宜性评价指标体系,采取BP神经网络模型预测建设用地适宜性,在保障城市建设安全的同时为景观建设留有余地,实现城市建设的可持续发展。景观融合可以从景观风险消极影响及景观资源积极影响2个方面的多个单元来构建建设用地适宜性评价指标体系。评价结果将建设用地分为适宜建设区、较适宜建设区、较不适宜建设区和不适宜建设区,在此基础上提出集约用地和优化城市景观网络的规划建议。
Based on the perspective of landscape integration,this paper constructs the evaluation index system of construction land suitability,and adopts the BP neural network model to predict the suitability of construction land,which not only ensures the safety of urban construction,but also leaves room for landscape construction and realizes the sustainable development of urban construction.Landscape integration can construct the evaluation index system of construction land suitability from two aspects of the negative impact of landscape risk and the positive impact of landscape resources.The calculation results canbe divided into suitable construction area,fairly suitable construction area,less suitable construction area and unsuitable construction area.While developing in a compact and efficient way,attention should be paid to the reservation,upgrading and networking of landscape.
作者
卢峰
杨晋苏
曹风晓
LU Feng;YANG Jinsu;CAO Fengxiao
出处
《中国园林》
CSCD
北大核心
2021年第1期38-43,共6页
Chinese Landscape Architecture
基金
国家自然科学基金面上项目(编号52078069、51778076)共同资助。
关键词
风景园林
景观融合
景观消极影响
景观积极影响
BP神经网络
适宜性评价
重庆市唐家沱片区
landscape architecture
landscape integration
landscape negative impact
landscape positive impact
BP neural network
suitability evaluation
Tangjiatuo District of Chongqing
