| 新农村建设过程中的居民点空间合并对策——以浙江省嘉兴市海盐县五圣村为例 |
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| 引用本文： | 武鹏,宗跃光.新农村建设过程中的居民点空间合并对策——以浙江省嘉兴市海盐县五圣村为例[J].经济地理,2008,28(3):464-468. |
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| 作者姓名： | 武鹏 宗跃光 |
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| 作者单位： | 南京大学,地理与海洋学院,中国江苏,南京210093 |
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| 基金项目： | 国家自然科学基金
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国家高技术研究发展计划(863计划)
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国家基础科学人才培养基金 |
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| 摘 要： | 文章采用社会主义新农村建设的空间整治为主线,以浙江省海盐县五圣村为例,运用区域人口重心、模糊集合评判等方法,对散乱无序的农村居民点实施迁村并点,为建设新农村社区,辅助新农村社区选址提供空间决策。研究表明,最终得到的四个搬迁区选址有利于新农村社区的起步发展,并满足为整个区域服务的目的,有利于迁村并点工作的推进,所以最终选择其为新农村社区选址地点。
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| 关 键 词： | 新农村社区 迁村并点 人口重心 成对明智比较法 模糊集合评判 |
| 文章编号： | 1000-8462(2008)03-0464-05 |
| 修稿时间： | 2007年4月18日 |
THE STUDY ON SPATIAL AGGREGATION OF COMMUNITY IN THE PROCESS OF NEW VILLAGE CONSTRUCTION——TAKING WUSHENG VILLAGE IN HAIYAN COUNTY IN ZHEJIANG PROVINCE AS AN EXAMPLE |
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| WU Peng,ZONG Yue-guang.THE STUDY ON SPATIAL AGGREGATION OF COMMUNITY IN THE PROCESS OF NEW VILLAGE CONSTRUCTION——TAKING WUSHENG VILLAGE IN HAIYAN COUNTY IN ZHEJIANG PROVINCE AS AN EXAMPLE[J].Economic Geography,2008,28(3):464-468. |
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| Authors: | WU Peng ZONG Yue-guang |
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| Abstract: | According to spatial improvement of new village construction,taking as Wusheng village for example,the article utilizes regional population gravity center(PGC) and fuzzy aggregation,in order to implement spatial migration for scattered residential areas.Also,seeking to construct new community in rural area,the article provides policies for location selection of it.Generally speaking,it provides several efficient quantitative methods to do the research concerning regional system.According to the research in this article,the four projects obtained ultimately do benefits for the development of the new village community and providing convenient regional services.Therefore,we consider these four locations selected as the locations of new village communities in rural area in Wusheng village.The spatial aggregation of community in rural area put an end to low efficient agricultural production and low quality of accommodation. |
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| Keywords: | new village community community migration population gravity center(PGC) Gini coefficient fuzzy set method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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