2000~2010年无锡市职住空间关系变化及影响因素分析

doi:10.13249/j.cnki.sgs.2014.02.137

地理科学 ›› 2014, Vol. 34 ›› Issue (2): 137-146.doi: 10.13249/j.cnki.sgs.2014.02.137

2000~2010年无锡市职住空间关系变化及影响因素分析

肖琛^1,²(), 陈雯¹, 袁丰¹, 李平星¹

1.中国科学院南京地理与湖泊研究所,江苏南京 210008
2.中国科学院大学,北京 100049

收稿日期:2012-12-19 修回日期:2013-05-07 出版日期:2014-02-10 发布日期:2014-02-10
作者简介:
作者简介：肖琛（1987-）,女,山东威海人,博士研究生,主要从事城市发展与区域规划方面研究。E-mail: cxiao@niglas.ac.cn
基金资助:
国家自然科学基金重点项目(41130750) 资助

Relationship Between Job-housing Spaces of Wuxi City and Its Influencing Factors in 2000-2010

Chen XIAO^1,²(), Wen CHEN¹, Feng YUAN¹, Ping-xing LI¹

1.Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China
2.University of Chinese Academy of Sciences, Beijing 100049, China

Received:2012-12-19 Revised:2013-05-07 Online:2014-02-10 Published:2014-02-10

摘要/Abstract

摘要：

基于第五和第六次人口普查数据,探讨了无锡市2000~2010年职住空间的变动情况,总结了职住空间关系的影响因素。研究发现：无锡市居住人口主要集中在老城区,但人口向外扩散的趋势明显,外围地区尤其是产业发达地区人口增长较快;就业人口分布以老城区为主,沿“西北-东南”向扩展。从职住空间匹配角度分析,无锡市总体职住空间匹配程度有所提高,存在老城区以居住功能为主、外围区以就业功能为主的特征,且部分区域职住空间匹配度较低。采用地理加权回归法定量分析了职住空间关系的影响因素,认为区域经济发展和交通通达性的提高一定程度上会加剧职住分离;产业发展、建设用地扩展、公共服务设施的完善会缓解职住空间的失配现象。在不同的经济社会发展阶段,城市应采取不同的职住空间组织模式。

关键词: 职住空间, 空间匹配关系, 无锡市

Abstract:

As two major functional areas, job-housing spaces and the organizational patterns have great influence on urban development. At abroad,scholars mainly focus on the spatial organizational relationships between job-housing spaces, the influence of the mismatch between job-housing spaces to the traffic, the urban employment, the development mode of urban land use, and some other spatial mismatch issues. At home,scholars began this research from the late 1980s. Many researchers study this phenomenon from the commuting angle. However, the studies put particular emphasis on theory introducing and status research. The existing studies are incomplete and lack of characteristics and mechanism analysis. What's more, the research areas are mainly concentrated in the developed first-level cities,but rarely in the other big and medium-sized cities which are in rapid growth stage and also has the same problem. As one of the regional central cities in Changjiang River Delta region,Wuxi City develops very quickly in industrialization and urbanization since the reform and opening up. Meantime, the residential and employment spaces also started restructuring. Based on the fifth and sixth census data, this article explored the changes of job and housing spaces of Wuxi City in the past ten years, and tried to summarize the influencing factors. The results showed that the housing space of Wuxi City overall showed the pattern of descending distribution from the city center to the periphery, and the population growth of developed areas of industry was especially rapid. However, the employment space showed the extension pattern along northwest-southeast. From the angle of match analysis of job-housing spaces, the whole matching degree of job-housing spaces of Wuxi City has increased during the past ten years. The main function of old town is for living, while the main function of external zones is for employment. What's more, the matching degree of some districts is low. We analyzed quantitatively the influencing factors of relationship between job-housing spaces with Geographically Weighted Regression method. The results showed that development of regional economic and improvement of transport accessibility would intensify the job-housing separation, while industrial development and layout, urban spatial expansion and improvement of urban public services, would relieve the job-housing separation. Organizational patterns of job and housing spaces should be different in different stages of economic and social development.

Key words: job-housing spaces, spatial matching relationship, Wuxi City

中图分类号:

F292

肖琛, 陈雯, 袁丰, 李平星. 2000~2010年无锡市职住空间关系变化及影响因素分析[J]. 地理科学, 2014, 34(2): 137-146.

Chen XIAO, Wen CHEN, Feng YUAN, Ping-xing LI. Relationship Between Job-housing Spaces of Wuxi City and Its Influencing Factors in 2000-2010[J]. SCIENTIA GEOGRAPHICA SINICA, 2014, 34(2): 137-146.

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影响因素		回归系数		诊断指标
影响因素		范围			均值
X₁	人均GDP（万元）	-0.044~0.047	0.020	Residual Squares （残差平方和）	0.046
X₂	人均工业产值（万元）	-0.037~0.026	-0.023	Residual Squares （残差平方和）	0.046
X₃	人均三产增加值（万元）	-0.065~0.261	-0.026	Sigma （残差标准差）	0.042
X₄	产业园区个数（个）	-0.007~0.030	0.001	Sigma （残差标准差）	0.042
X₅	路网密度（m/km²）	0.002~0.033	0.014	R² （拟合度）	0.732
X₆	建设用地面积（km²）	-0.028~0.017	-0.003	R² （拟合度）	0.732
X₇	医院个数（个）	-0.017~0.014	-0.006	R²Adjusted （调整R²）	0.522
X₈	学校个数（个）	-0.048~0.022	-0.003	R²Adjusted （调整R²）	0.522

2000~2010年无锡市职住空间关系变化及影响因素分析

Relationship Between Job-housing Spaces of Wuxi City and Its Influencing Factors in 2000-2010

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