大别山区村庄空间形态分布特征及提升策略——以金寨县油坊店乡为例
Spatial Distribution Characteristics and Improvement Strategies of Villages in Dabie Mountain Area—Taking Youfangdian Township,Jinzhai County as an Example
顾康康 1王欣然1
作者信息
- 1. 安徽建筑大学 建筑与规划学院,安徽 合肥 230601;安徽省国土空间规划与生态研究院,安徽 合肥 230601
- 折叠
摘要
从生态空间、生产空间、生活空间3个层面构建村庄类型空间形态指标体系,运用核密度分析、景观格局指数等辨析大别山区油坊店乡土地利用特征和居民点分布形态,探讨"三生"空间分布特征,叠加分析明确村庄主导类型.结果表明:油坊店乡"三生"空间的土地利用均衡程度较高,其中生态空间面积>生产空间面积>生活空间面积;油坊店乡农村居民点空间呈现"东大西小、大分散小集中"的分布格局;油坊店乡各村庄"三生"空间分异明显,可划分为生态功能主导区、生活功能主导区、综合发展区、均衡发展区和生产功能主导区5种功能类型.依据功能导向明确3种整治策略,进而提出村庄功能提升与协调发展的优化模式.
Abstract
The spatial form index system of village types was constructed at three levels:ecological space,production space and living space(the"three spaces"),and the land use characteristics and settle-ment distribution patterns of Youfangdian Township in Dabie Mountain Area were analyzed by using nu-clear density analysis and landscape pattern index to explore the spatial distribution characteristics of the"three spaces"and clarify the dominant village types by superposition analysis.The results show that:The spatial balance of the"three spaces"in Youfangdian Township is relatively high,with ecological space area>production space area>living space area;The spatial distribution of rural residential areas in Youfangdian Township presents a pattern of"large in the east and small in the west,large in disper-sion and small in concentration";The spatial differentiation of the"three spaces"of each village in Yao-fangdian Township is obvious and can be divided into five functional types:ecological function-led area,living function-led area,comprehensive development area,balanced development area and production function-led area,and the three remediation strategies are clarified according to the functional orienta-tion,and then the optimization model for enhancing and coordinating the development of village func-tions is proposed.
关键词
"三生"空间/村庄/空间形态/类型划分Key words
the"three spaces"/village/spatial form/type classification引用本文复制引用
基金项目
安徽省科技厅研究项目(2008085ME160)
出版年
2024
NETL
NSTL
万方数据