[1]刘焱序,任志远.基于区域地形起伏度模型的陕西农村劳动力时空格局[J].山地学报,2012,(04):431.
　LIU Yanxu,REN Zhiyuan.Spatiotemporal Patterns of Shaanxi Rural Labor Base on the Regional Terrain Model[J].Mountain Research,2012,(04):431.
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基于区域地形起伏度模型的陕西农村劳动力时空格局()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2012年04期
页码:
431
栏目:
山地学报
出版日期:
2012-01-01

文章信息/Info

Title:
Spatiotemporal Patterns of Shaanxi Rural Labor Base on the Regional Terrain Model
作者:
刘焱序;任志远;
陕西师范大学 旅游与环境学院，陕西 西安 710062
Author(s):
LIU Yanxu; REN Zhiyuan
College of Tourism and Environment Sciences Shaanxi Normal University，Xi’an 710062，China
关键词:
地形起伏度; 农村劳动力; 重心模型; 相关性分析
Keywords:
the relief degree of land surface; rural labor force; gravity model; correlation analysis
分类号:
C922，K901
文献标志码:
A
摘要:
农村劳动力的流动不仅受经济社会的拉力,而且可能受自然环境推力的影响。地形起伏是农村自然环境状况的重要指标。运用改进的区域地形起伏度模型、成本距离模型、重心模型,定量分析1990—2009年陕西省农村劳动力时空变化格局,结果表明:20 a间农村劳动力并非简单的持续从地形起伏高的地区往起伏低的地区移动,但地形起伏作为农村劳动力分布的重要作用因素其影响正在不断加强,并表现出进一步加强的趋势性;关中地区农村劳动力增幅较慢,体现了其快速城市化进程;陕北与陕南地形起伏度较高,陕北作为能源工业基地,其劳动力增幅快于陕南;经济因素与地形因素在整体上会拉动或推动人口格局变化,但在年尺度上表现出较强的波动性;研究...
Abstract:
The flow of rural labor is not only suffered economic and social tension，but also received natural foundation thrust. As a represent of natural environment condition，terrain is an important index in the rural. The relief degree of land surface (RDLS) was adopted as terrain model. And when add with the cost distance model and center of gravity model，the result was got as follows. In Shaanxi province，the rural labor force was not simply moving from the high terrain region to the low terrain region during the last 20 years. But the RDLS，which took an important role to the rural labor force distribution，was constantly strengthening on the influence and showed the trend on further strength. The rural labor force in Guanzhong region grew slowly，which reflected its rapid urbanization process；the North Shaanxi and South Shaanxi suffered a high RDLS，but as North Shaanxi was treated as the energy industry base，the number of labor there grew faster than in South Shaanxi. The economic factors and terrain factors will pull or push the overall population structure to change，but in a year scale it reflects strong volatility. The overall performance of the study area shows：the lower the rolling terrain，the higher the land intensive degree，and more quickly the region nonagriculturalization process occurred.

相似文献/References:

[1]张子瑜,范建容,张建强,等.芦山地震重灾区地形因子分析[J].山地学报,2013,(05):624.
　ZHANG Ziyu,FAN Jianrong,ZHANG Jianqiang,et al.Topographic Factors Analysis of Lushan Earthquakehit Area[J].Mountain Research,2013,(04):624.

备注/Memo

备注/Memo:
收稿日期(Received date)：2011-12-12；改回日期(Accepted) : 2012-03-05。
基金项目（Foundation item）：国家自然科学基金(No.41071057), 教育部人文社会科学重点研究基地项目(2009JJD770025)。\[Project supported by the National Nature Science Foundation of China(No.41071057) and the Humanities and Social Science Foundation of Ministry of Education(No. 2009JJD770025).\]
作者简介（Biography）：刘焱序(1988-)，男，硕士研究生，研究方向为资源环境与GIS。\[Liu Yanxu(1988-), male, Master candidate, mainly study on resource and environment remote sensing and GIS.\] E-mail：liuyanxu00777@126.com *
通讯作者(Corresponding author): 任志远(1953-)，男，教授，主要从事国土资源开发与生态环境评价研究。 \[Ren Zhiyuan, male, professor, specialized in land resource development and ecological environment value.\] renzhy@snnu.edu.cn
更新日期/Last Update: 1900-01-01