| 装配式建筑发展水平空间差异及其影响因素研究 |
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| 引用本文： | 李玲燕,张晶晶.装配式建筑发展水平空间差异及其影响因素研究[J].科技管理研究,2020,40(22):196-205. |
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| 作者姓名： | 李玲燕 张晶晶 |
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| 作者单位： | 西安建筑科技大学管理学院,陕西西安710055;西安建筑科技大学管理学院,陕西西安710055 |
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| 基金项目： | 陕西省重点研发计划项目“绿色建筑全寿命期性能及经济、环境效益评价体系研究”(批准号 2018ZDCXL-SF-03-04)。 ,张晶晶1 |
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| 摘 要： | 以中国31个省市作为空间研究单元,构建以装配式建筑发展基础环境、生产建造实力、技术创新水平、可持续发展潜力四个方面的装配式建筑发展水平评价体系,运用均方差决策法、探索性空间数据分析、地理加权回归模型探究中国装配式建筑发展水平的空间差异特征并进行影响因素分析。结果表明：(1)从空间分布特征看,装配式建筑发展水平总体偏低,空间分布差异显著,呈由东向西递减的空间格局。(2)从空间关联特征看,装配式建筑发展水平存在空间集聚现象,以分布在江、浙、沪等省份的显著HH区和蒙、新、宁等省份的显著LL区为主。(3)从影响因素看,装配式建筑发展水平的影响存在明显的空间差异,由大到小排名为：市场需求>环保支出>政府导向>经济水平>技术创新>人口集中程度>产业结构>交通物流环境>建造成本。
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| 关 键 词： | 装配式建筑 发展水平 空间差异 地理加权回归模型 |
| 收稿时间： | 2020/1/21 0:00:00 |
| 修稿时间： | 2020/11/18 0:00:00 |
Study on the spatial differences of the development Level of Prefabricated buildings and its influencing factors |
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| Abstract: | With 31 provinces and cities in China as the space research unit, construct a prefabricated building development level evaluation system based on the four aspects of the basic environment of prefabricated building development, production and construction strength, technological innovation level, and sustainable development potential. Using mean-variance weighting method, exploratory spatial data analysis, geographic weighted regression models to explore the characteristics of spatial differences in the development level of Chinese fabricated buildings and analyze the influencing factors. The results show that:(1) from the perspective of spatial distribution characteristics, the development level of prefabricated buildings is generally low, and the spatial distribution is significantly different, forming a spatial pattern that decreases from east to west.(2) From the perspective of spatial correlation characteristics, there is a phenomenon of spatial agglomeration in the development level of prefabricated buildings, which are mainly distributed in the High-High regions of Jiangsu, Zhejiang, Shanghai and other provinces, and the Low-Low regions of Mongolia, Xin, and Ning provinces.(3) From the perspective of the influencing factors, there are obvious spatial differences in the impact of the development level of prefabricated buildings. The rankings are: market demand> environmental protection expenditure> government-oriented> economic level> technology innovation> population concentration> industrial structure > Transportation logistics environment> Construction cost. |
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| Keywords: | prefabricated building development level spatial difference geographic weighted regression model |
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