首页|萍乡市路网形态对住宅用地价格空间的多尺度影响——基于sDNA与MGWR模型的研究

萍乡市路网形态对住宅用地价格空间的多尺度影响——基于sDNA与MGWR模型的研究

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为了探究萍乡市路网形态对住宅用地价格的影响,以2011-2020年萍乡市中心城区出让住宅地价样点为例,基于空间设计网络分析(sDNA)模型和多尺度地理加权回归(MGWR)模型探究路网形态对住宅用地价格的多尺度关系.结果表明,2011年以来,萍乡市住宅空间分布呈现轴向发展、向内填充与向外扩散并进、多中心圈层结构相融合的演化趋势;路网形态总体呈现块状聚集,轴向延伸的空间格局;路网接近度对住宅用地价格呈现出正向的城区边缘高,中心区低的空间格局,密度、穿行度与之相反,同时出现跨尺度相似性.研究成果可为市政完善土地市场价格管理体系提供科学的决策依据,同时为城市交通规划以及房地产选址布局提供相关建议.
Multi-scale Effects of Road Network Form in Pingxiang City on Residential Land Price Spatial Distribution:A Study Based on sDNA and MGWR Models
Taking the selling of residential land at transfer prices in the central city of Pingxiang City from 2011 to 2020 as a sample,the sDNA and MGWR models were used to explore the multi-scale relationship between road network form and residential land price.The results show that the spatial distribution of residential areas in Pingx-iang City has shown a trend of outward diffusion and inward filling since 2011.The integration of axial development and multi-center circle diffusion is obvious.The overall shape of the road network presents as a spatial pattern of"mass gathering and axial extension".The effects of the road network proximity on residential land price show a spatial pattern of"high at the urban edge and low in the central area",while the density and penetration are the opposite,exhibiting a cross-scale similarity.The study can benefit scientific decision-making for the government to improve the land market price management,and provide references for urban transportation planning and real estate site selection.

residential land priceroad network formspatial design network analysis modelmulti-scale geo-graphically weighted regression modelPingxiang City

陈文波、陈端怡、党迎春、盛珍妍

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东华理工大学测绘与空间信息工程学院,江西南昌 330013

东华理工大学江西省流域生态过程与信息重点实验室,江西南昌 330013

东华理工大学南昌市景观过程与国土空间生态修复重点实验室,江西南昌 330013

江西农业大学南昌市景观与环境重点实验室,江西南昌 330045

江西省地质局地理信息工程大队,江西南昌 330001

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住宅用地价格 路网形态 空间设计网络分析模型 多尺度地理加权回归模型 萍乡市

2024

东华理工大学学报(自然科学版)
东华理工学院

东华理工大学学报(自然科学版)

北大核心
影响因子:0.634
ISSN:1674-3504
年,卷(期):2024.47(5)