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作 者:杨伟[1,2] 廖和平[1] 潘卓[3] 李晓华[4] 李涛[1] 李靖[1]
机构地区:[1]西南大学地理科学学院,重庆400715 [2]重庆工程职业技术学院地质与测绘工程学院,重庆402260 [3]西南大学人事处,重庆400715 [4]重庆工程职业技术学院党政办,重庆402260
出 处:《农业工程学报》2015年第20期244-252,F0003,共10页Transactions of the Chinese Society of Agricultural Engineering
基 金:重庆市社会科学规划特别委托项目(2012TBWT02);国家科技支撑计划项目(2013BAJ11B02)
摘 要:为了高效合理开发利用低丘缓坡土地资源、科学构建低丘缓坡土地产业转移适宜度评价指标体系提供理论依据和方法借鉴,该文以GIS技术和实证研究为手段,采用文献研究、问卷调查和实证研究等方法,建立了包括3个评价目标共计13个指标的评价指标体系,构建了以置信区间为基准的指标数据统计分析和处理方法,采用了动态权重的方式对评价指标权重予以修正,利用加权平均模型对适宜度进行了测算评价。研究结果可靠、信度较高、方法可行,在一定程度上丰富了低丘缓坡土地资源适宜性评价的理论和方法,对合理开发利用和管理低丘缓坡土地资源提供了方法借鉴和实践支撑。Gentle hillside area usually refers to the areas under 300 m in altitude and locating at the hilly area with terrain slope of 5°-15°. To some extent, utilization and development of gentle hillside area can contribute to relieve the problem of regional land resource supply tension, which is a real existent fact in most of regions, and may help achieve good social benefit. Most of the existing researches on the evaluation of suitability of gentle hillside area inside and outside China have adopted static way in general terms, which might not reflect the changing of land use condition completely, because of their lack of consideration of land use changing trending and applying those models with changeless weight to calculate for evaluation research, and have seemed to get comparatively unbelievable results. The purpose of this paper was to provide theoretical basis and methods for scientifically constructing suitability evaluation index system of industry transfer in gentle hillside area, which contributed to utilize land resource in gentle hillside area to develop industry efficiently and reasonably. This paper adopted GIS(geographical information system) and empirical studies, and literature research and questionnaire survey were synthetically applied. The paper constructed the evaluation index system with 3 evaluating target including basic conditions, traffic conditions and continuous conditions of industry development. And 13 indicators were selected, which included proportion of industrial output, proportion of existing industrial park, per-capita freight volume, road network density of ordinary highway, quantity of public transit hub, quantity of freight station, quantity of highway interchanges, distance to the nearest freight wharf, distance to the nearest freight station, distance to the nearest airport, average annual growth rate of fixed assets investment, proportion of professional personnel and land consumption per 108 yuan GDP(gross domestic product). The data statistical analysis was carrie
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