| 储金龙,姜昌正,王霞.基于县域地理差异的比较下的乡村聚落空间格局特征及其驱动因子影响研究[J].安徽建筑大学学报,2024,32(): |
| 基于县域地理差异的比较下的乡村聚落空间格局特征及其驱动因子影响研究 |
| Spatial Pattern Characteristics of Rural Settlements and their Driving Factors Based on the Comparison of County Geographical Differences |
| 投稿时间：2024-01-16 修订日期：2024-04-09 |
| DOI： |
| 中文关键词: 城乡规划 地理差异 乡村聚落 空间格局 地理探测器 驱动因子 |
| 英文关键词: urban-rural planning regional differences rural settlements spatial pattern geodetectors driving factors. |
| 基金项目:安徽省教育厅人文社会科学重点项目“基于社会—生态视角的蒙洼乡村聚落系统韧性评估与适应性机理” (SK2021A0344) |
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| 中文摘要: |
| 识别县域乡村聚落空间特征、揭示其驱动因子与形成机理，是编制县域村庄布点规划、优化乡村空间布局、推动乡村振兴发展的基础。选取县域内部地理条件分异明显的潜山市作为研究区域，运用平均最近邻距离、景观格局等空间分析方法，结合地理探测器，对县域不同地域条件下的乡村聚落空间格局及其驱动因子进行比较研究，以期发现乡村聚落空间格局特征差异和驱动因子的作用机制。结果表明：1）不同地理条件下乡村聚落空间格局呈现不同的形态，具有显著差异；2）地形条件是格局特征形成的初始驱动因子，在山区交通因子具有更大的影响，而水系在山前平原地区影响显著；3）人口、经济、公服、交通因素与其他因子交互作用突出，存在相互影响和制约关系。 |
| 英文摘要: |
| Identifying the spatial characteristics of rural settlements at the county level, revealing their driving factors and formation mechanisms, is fundamental for planning village distribution, optimizing rural spatial layout, and promoting rural revitalization. This study selects Qianshan City, which has significant internal geographical variations, as the research area. Spatial analysis methods such as mean nearest neighbor distance and landscape pattern, combined with geodetectors, are applied to compare the spatial patterns of rural settlements and their driving factors under different regional conditions in the county. The aim is to discover the differences in spatial pattern characteristics of rural settlements and the mechanisms of action of driving factors. The results show that: 1) Rural settlements exhibit different spatial patterns under different geographical conditions, with significant differences; 2) Topographic conditions are the initial driving factors for the formation of pattern characteristics, with traffic factors having a greater impact in mountainous areas, while water systems significantly influence the piedmont plain areas; 3) Population, economy, public services, transportation, and other factors interact prominently with other factors, exhibiting mutual influence and constraints. |
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