| 居住环境剥夺测度及其对房价的影响——以兰州市为例 |
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| 引用本文： | 杜雨涵,赵海莉,原悦,李家亮,王家明.居住环境剥夺测度及其对房价的影响——以兰州市为例[J].干旱区地理,2022,45(3):966-975. |
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| 作者姓名： | 杜雨涵 赵海莉 原悦 李家亮 王家明 |
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| 作者单位： | 西北师范大学地理与环境科学学院,甘肃 兰州 723000 |
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| 基金项目： | 国家自然科学基金项目（41971268）资助； |
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| 摘 要： | 小区是居民日常生活和构建社会关系的重要场所,由于居住环境差异,导致剥夺现象发生。为探究居住环境剥夺对房价的作用机制,构建居住环境剥夺测度体系,创新了居住环境剥夺指数计算方法,运用混合地理加权回归模型和地理探测器分析居住环境剥夺与房价的关系。结果表明：（1） 兰州市平均房价为12566.93元·m-2,空间上呈现出多核心、组团式分布格局,表现为从核心向外逐级递减的趋势。（2） 基于6个维度服务设施数量和种类差异,居住环境剥夺也呈现出不同空间分布格局。（3） 所有服务剥夺均与房价呈负相关,教育服务剥夺对房价影响力最强,生活服务剥夺对房价影响力最弱,教育和交通服务剥夺交互作用对房价解释力最强。研究结果对促进资源配置公平和城市健康快速发展至关重要。
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| 关 键 词： | 居住环境剥夺 剥夺指数 房价 资源配置 兰州市 |
| 收稿时间： | 2021-09-29 |
Measurement of residential environment deprivation and its impact on housing prices:A case of Lanzhou City |
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| DU Yuhan,ZHAO Haili,YUAN Yue,LI Jialiang,WANG Jiaming.Measurement of residential environment deprivation and its impact on housing prices:A case of Lanzhou City[J].Arid Land Geography,2022,45(3):966-975. |
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| Authors: | DU Yuhan ZHAO Haili YUAN Yue LI Jialiang WANG Jiaming |
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| Affiliation: | Northwest Normal University and Environmental Science, Lanzhou 723000, Gansu, China |
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| Abstract: | Residential areas are important places for residents to build their daily lives and social relationships. Deprivation occurs due to differences in the living environments. To explore the mechanism of housing price fluctuations caused by residential environment deprivation, this paper constructs the measurement system of housing deprivation, evaluates the situation of housing deprivation in residential areas of Lanzhou City, Gansu Province, China, analyzes the spatial distribution pattern of housing prices in Lanzhou City, and analyzes the influencing factors of housing prices using a geographically weighted mixed regression model. The explanatory power of the interaction between service facilities for housing prices was also analyzed using a geographic detector. The conclusions of this paper are as follows. (1) The spatial distribution pattern of housing prices in Lanzhou City is multi-core and collective, showing a gradual downward trend from the core of each region to the outside. (2) Deprivation of living and transportation services shows a regional distribution pattern. The deprivation of medical, educational, and leisure services presents an obvious spatial distribution pattern. In addition, the deprivation of entertainment services presents a multi-core spatial distribution pattern. Because of the different service facilities, the spatial distribution pattern of residential deprivation is also different. (3) The deprivation of each service facility has different explanatory power for housing prices. The interaction between two service facilities increases the explanatory power for housing prices nonlinearly. |
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| Keywords: | deprivation of residential environment deprivation index housing prices resource allocation Lanzhou City |
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