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城市流动人口居住自选择中的空间权衡分析--以成都市为例
Space trade-offs analysis in the urban floating population residential self-selection: A case study of Chengdu

查看参考文献33篇

张少尧 1,2   时振钦 1,2   宋雪茜 3   邓伟 1,2 *  
文摘 基于成都市主城区各街道的流动人口数据,分析2010-2015年流动人口规模的空间分布格局及居住空间分异程度,并从流动人口行为决策的视角选取影响变量,分析其对居住自选择的影响程度及其空间差异,据此揭示居住自选择中的空间权衡过程,探讨流动人口的空间权衡对其居住自选择和居住空间格局形成的作用。结果表明:2010-2015年,成都流动人口在主城区南部和城市中心快速增加,其集聚态势为西高东低;流动人口相较于本地户籍人口表现出一定程度的居住空间分异性;流动人口占常住人口比、居住区面积、房租、公交、企业及生活服务设施对流动人口居住自选择有明显影响,且流动人口占常住人口比、居住区面积和房租影响显著,但影响关系受流动人口空间自相关影响显著;地理加权回归结果显示不同变量对居住自选择的解释能力存在空间差异性,流动人口通过不同变量空间分布的差异性权衡不同区域,以此完成居住自选择并最终形成居住空间格局。
其他语种文摘 A large floating population has entered urban areas under the rapid urbanization in China. However, their residential space pattern is strongly affected by residential self-selection, which has reconstructed the urban population distribution pattern and social space. This study examines urban floating population residential space pattern and its formation process, by using the floating population data of 2010 and 2015 in the yearbooks of Chengdu downtown block, and choosing influence variables from the perspective of behavioral decision made by the urban floating population. Therefore, the aims of this study are to analyze the influence of urban characteristic variables for residential self-selection and the influences' spatial differentiation, and to reveal process of space trade-offs in residential self-selection and its role in the formation of urban floating population residential space pattern. The results show that from 2010 to 2015, the urban floating population of Chengdu increased rapidly in the southern part of the downtown area and in the urban centers, and a significant space agglomeration situation featured by low-west and high-east is obviously reflected. Moreover, residential space pattern of urban floating population shows that the level of residential segregation is partially related to the residential space pattern of the registered population, but a notable degree of residential segregation has reduced from 2010 to 2015. More importantly, the study proves that the proportion of urban floating population in permanent residential population, residential land area, housing rent, public transportation, enterprise, hospital, drugstore, restaurant and marketplace have influences on floating population residential self-selection. In addition, the proportion of urban floating population in permanent residential population, residential land area and housing rent are the three significant variables in the spatial error model, but it is dramatically impacted by spatial autocorrelation of floating population statistic block. A major contribution of this study is that the spatial differentiation of the variables' influence on residential self-selection is verified by using geographic weighting regression (GWR), and it reveals the process of urban floating population space trade-offs on how to realize residential self-selection by weighting spatial variability of variables'influence among different urban regions. That is to say, the spatial difference of living cost, employment opportunities, living environment and commuting costs have shaped the floating population residential space pattern, which is a complex reflection of the urban spatial perception, spatial trade-offs and spatial self-selection of floating population. It can help us to deeply understand the formation process of urban floating population residential space pattern, and provide references to promote community integration and urban management.
来源 地理研究 ,2018,37(12):2554-2566 【核心库】
DOI 10.11821/dlyj201812015
关键词 居住自选择 ; 空间权衡 ; 流动人口 ; 地理加权回归 ; 成都市
地址

1. 中国科学院水利部成都山地灾害与环境研究所/山区发展研究中心, 成都, 610041  

2. 中国科学院大学, 北京, 100049  

3. 成都信息工程大学管理学院, 成都, 610225

语种 中文
文献类型 研究性论文
ISSN 1000-0585
学科 社会科学总论
基金 国家自然科学基金项目 ;  中国科学院院长基金(2017)
文献收藏号 CSCD:6394799

参考文献 共 33 共2页

1.  Litman T. Land use impacts on transport how land use factors affect travel behavior. Land Use Planning,2005 被引 1    
2.  Cao X. Examining the effects of the built environment and residential self-selection on commuting trips and the related CO_2 emissions: An empirical study in Guangzhou, China. Transportation Research Part D: Transport and Environment,2017,52:480-494 被引 8    
3.  Scheiner J. Transport costs seen through the lens of residential self-selection and mobility biographies. Transport Policy,2016:1-12 被引 1    
4.  Ettema D. Residential self-selection and travel behaviour: What are the effects of attitudes, reasons for location choice and the built environment?. Journal of Transport Geography,2017,59:146-155 被引 2    
5.  Booneheinonen J. Environment and physical activity dynamics: The role of residential self-selection. Psychology of Sport & Exercise,2011,12(1):54-60 被引 1    
6.  廖邦固. 1947~2007年上海中心城区居住空间分异变化——基于居住用地类型视角. 地理研究,2012,31(6):1089-1102 被引 18    
7.  Vos J D. Do people live in urban neighbourhoods because they do not like to travel? Analysing an alternative residential self-selection hypothesis. Travel Behaviour & Society,2016,4:29-39 被引 3    
8.  Schwanen T. What affects commute mode choice: Neighborhood physical structure or preferences toward neighborhoods?. Journal of Transport Geography,2005,13(1):83-99 被引 14    
9.  Pinjari A R. Residential self-selection effects in an activity time use behavior model. Transportation Research Part B Methodological,2009,43(7):729-748 被引 5    
10.  林世伟. "三江并流"区生态系统服务空间权衡与协同关系研究. 博士学位论文,2016 被引 1    
11.  Sener I N. Accommodating spatial correlation across choice alternatives in discrete choice models: An application to modeling residential location choice behavior. Journal of Transport Geography,2011,19(2):294-303 被引 4    
12.  宇林军. 城市家庭居住地选址的空间异质性分析——以美国佛罗里达州橙县为例. 地理科学进展,2012,31(8):1024-1031 被引 2    
13.  雷华. 农民工居住现状及其对心理融入的影响研究.博士学位论文,2013 被引 1    
14.  任远. 城市流动人口的居留模式与社会融合,2014 被引 2    
15.  唐波. 长沙市城市居民居住区位选择研究. 硕士学位论文,2013 被引 1    
16.  Liu Yuting. Housing differentiation under market transition in Nanjing, China. Professional Geographer,2012,64(4):554-571 被引 3    
17.  桂静. 流动人口的分层因素与居住选择的相关研究. 博士学位论文,2015 被引 1    
18.  周春山. 深圳农民工集聚空间的演变特征及影响机制. 地理科学,2016,36(11):1643-1653 被引 13    
19.  肖扬. 全球城市视角下上海新移民居住空间分异研究. 城市规划,2016,40(3):25-33 被引 8    
20.  王洋. 广州市家庭收入与住房特征对应关系的区位差异性. 地理科学进展,2017,36(2):151-158 被引 4    
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2 敬博 基于供需匹配模型的秦巴山区人地关系均衡状态及空间管控研究 长江流域资源与环境,2020,29(3):654-667
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