文献类型：期刊文献

中文题名：基于ANN-CA的杭州城市空间拓展与增长边界研究

英文题名：Simulation of Urban Spatial Expansion and Growth Boundary in Hangzhou Based on ANN-CA Model

作者：刘荣增[1,2];陈浩然[2]

第一作者：刘荣增

机构：[1]河南财经政法大学城乡协调发展河南省协同创新中心,河南郑州450046;[2]河南财经政法大学资源与环境学院,河南郑州450046

第一机构：河南财经政法大学

年份：2021

卷号：30

期号：6

起止页码：1298-1307

中文期刊名：长江流域资源与环境

外文期刊名：Resources and Environment in the Yangtze Basin

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;Scopus;北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；CSSCI:【CSSCI2021_2022】；

基金：国家社会科学基金一般项目(17BJL065);中原千人计划基础研究领军人才(ZYQR201810122);华贸金融研究院(HYK-2019007)。

语种：中文

中文关键词：元胞自动机;神经网络;增长边界预测;杭州市

外文关键词：Cellular Automata;neural network;development boundary prediction;Hangzhou

摘要：科学地规划城市未来的空间布局和划定城市增长边界,是落实自然资源部"三条控制线"与城市高质量快速发展的关键,对于城市空间的优化具有重要的指导意义。以杭州市为例,运用Euclidean distance建立影响因子模型,对影响城市增长边界的城市空间地形因子、自然环境因子、现状城市土地分类因子、产业与经济环境因子以及现代服务网点布局等各种因素进行分析,然后运用耦合神经网络识别城市空间发展潜力,最后运用耦合神经网络与元胞自动机(ANN-CA),按照不同限制条件(严格限制、基本限制、管制区限制)和可持续发展、核心区规划建设用地优先发展等不同情景约束对杭州市2030年城市空间拓展与增长边界进行了多维度模拟。主要得出了以下结论:(1)2018-2030年,萧山区,江干区和余杭区城市面积扩张最多,增长的面积分别为83.75、51.96和31.32 km^(2),是杭州发展潜力较大的区域。(2)提出了杭州在坚持"城市东扩、旅游西进、沿江开发、跨江发展"的空间策略的基础上,未来将以东、西方向为重点进行城市扩展。(3)以生态保护、集约节约为原则划定了杭州城市未来增长边界。旨在为杭州市国土空间规划及相关实践提供借鉴与参考。
Scientific planning of urban spatial layout and delimiting of urban growth boundary is the key to implement the "three control lines" of the Ministry of natural resources and the rapid development of cities with high quality, which is of great guiding significance for the optimization of urban space. Taking Hangzhou City as an example, this paper applies Euclidean distance to establish the influence factor model, and analyzes various factors affecting the urban growth boundary, such as urban spatial terrain factors, natural environment factors, current urban land classification factors, industrial and economic environment factors and modern service network layout.;Then the coupling neural network is applied to identify development potentials of urban space;Finally, a multi-dimensional simulation of the urban spatial expansion and growth boundary of Hangzhou City in 2030 is carried out by using the coupled neural network and cellular automata(ANN-CA), according to different constraints(strict constraints, basic restrictions, control area restrictions) and different scenarios constraints such as sustainable development, priority development of planning and construction land in the core area. The main conclusions are as follows:(1) From 2018 to 2030, Xiaoshan District, Jianggan District and Yuhang District have the largest urban area expansion, with the growth area of 83.75, 51.96 and 31.32 km^(2) respectively, which are the regions with great development potential in Hangzhou.(2) Based on the spatial strategy of "city expansion to the East, tourism planning to the west, development along the river, and cross-river development", Hangzhou will focus on the East and the West in the future.(3) Based on the principles of ecological protection and intensive economy, the future growth boundary of Hangzhou city is defined, which aims to provide reference for the land space planning and related practice of Hangzhou.