上海市居民居住迁移的区位选择及其影响因素研究

doi:10.18306/dlkxjz.2021.03.006

Abstract

Abstract:

Since the marketization of China's housing system, urban residents' housing adjustment through making residential moves has become relatively frequent. Residential mobility, as the micro-mechanism of urban space differentiation and restructuring, has been extensively studied in urban geography and housing studies. However, the existing literature mainly focuses on the motivation underlying residential mobility and its impacts on individuals/families and urban space. Comparatively, the location changes before and after residential moves have received scant attention in previous studies. This study adopted the perspective of life course and time geography to depict the residential trajectories of Shanghai residents and explore the influencing factors of location choice in residential mobility. The data used for the empirical analysis were drawn from the 2018 "Shanghai Resident Housing and Living Space Survey", which adopted the stratified and multi-stage probability proportion to size sampling. A retrospective survey was conducted, allowing us to obtain information on the respondents' sociodemographic information and their residential trajectories. The results reveal that the dominant type of location change is outward move across the ring roads. Nevertheless, the variations in location choice between cohorts, local population and migrants, and renters and owners of properties are evident. Compared with the older cohorts, younger cohorts generally make residential moves at earlier ages, and many of them move from the central areas to the suburbs. Different from the local population, migrants' residential mobility is more constrained in terms of the timing of making residential moves and their location choice. Furthermore, this study shows that age, location of workplace, and housing tenure all significantly affect location choice in making residential moves. Specifically, the older cohorts concentrate in the central areas before as well as after a residential move. Commuting distance plays a major role in affecting people's choice of residential location, and owning an automobile has insignificant influence. A transition into homeownership is often associated with a change to an advantageous location.

Key words: location choice, residential mobility, housing tenure, time geography, Shanghai

CUI Can, MU Xueying, CHANG Heying, LI Jiayi, WANG Fenglong. Patterns and determinants of location choice in residential mobility: A case study of Shanghai[J].PROGRESS IN GEOGRAPHY, 2021, 40(3): 422-432.

Figures/Tables 7

Fig.1

Tab.1

Fig.2

Fig.3

Fig.4

Fig.5

Tab.2

References 59

[1]	Li S M, Mao S Q. The spatial pattern of residential mobility in Guangzhou, China[J]. International Journal of Urban and Regional Research, 2019, 43(5): 963-982.
[2]	Wu F L. Residential relocation under market-oriented redevelopment: The process and outcomes in urban China[J]. Geoforum, 2004, 35(4): 453-470.
[3]	Wang F. Home relocation and changes in satisfaction with residence, travel and life: A study of Beijing [D]. Hongkong, China: Hong Kong Baptist University, 2015.
[4]	Wang F L, Wang D G. Changes in residential satisfaction after home relocation: A longitudinal study in Beijing, China[J]. Urban Studies, 2020, 57(3): 583-601.
[5]	李春江, 马静, 柴彦威, 等. 居住区环境与噪音污染对居民心理健康的影响: 以北京为例[J]. 地理科学进展, 2019, 38(7): 1103-1110.
	[Li Chunjiang, Ma Jing, Chai Yanwei, et al. Influence of neighborhood environment and noise pollution on residents' mental health in Beijing. Progress in Geography, 2019, 38(7): 1103-1110.]
[6]	刘小平, 黎夏, 陈逸敏, 等. 基于多智能体的居住区位空间选择模型[J]. 地理学报, 2010, 65(6): 695-707.
	[Liu Xiaoping, Li Xia, Chen Yimin, et al. Agent-based model of residential location. Acta Geographica Sinica, 2010, 65(6): 695-707.]
[7]	王铮, 翟石艳. 计算机实验人文地理学的理论构建及应用: 以城市居住区位选择为例[J]. 地理科学进展, 2013, 32(10): 1444-1453.
	[Wang Zheng, Zhai Shiyan. Theoretical framework and application of computer-aided experimental human geography: Case study of urban residential location choice. Progress in Geography, 2013, 32(10): 1444-1453.]
[8]	Rossi P H. Why families move: A study in the social psychology of urban residential mobility [M]. Glencoe, USA: Free Press, 1955.
[9]	Clark W A V. Recent research on migration and mobility: A review and interpretation[J]. Progress in Planning, 1982, 18: 1-56.
[10]	Coulter R, van Ham M, Findlay A M. Re-thinking residential mobility: Linking lives through time and space[J]. Progress in Human Geography, 2016, 40(3): 352-374. doi: 10.1177/0309132515575417 pmid: 27330243
[11]	Morris T, Manley D, Sabel C E. Residential mobility: Towards progress in mobility health research[J]. Progress in Human Geography, 2018, 42(1): 112-133. pmid: 30369706
[12]	Quigley J M, Weinberg D H. Intra-urban residential mobility: A review and synjournal[J]. International Regional Science Review, 1977, 2(1): 41-66.
[13]	柴彦威, 田原裕子, 李昌霞. 老年人居住迁移的地理学研究进展[J]. 地域研究与开发, 2006, 25(3): 109-115.
	[Chai Yanwei, Tahara Yuko, Li Changxia. A review of the geographical research on the elderly migration. Areal Research and Development, 2006, 25(3): 109-115.]
[14]	秦萧, 甄峰. 信息渠道对城市居民迁居空间的影响: 以南京为例[J]. 地理研究, 2016, 35(10): 1846-1856.
	[Qin Xiao, Zhen Feng. The impacts of information channels on moving space: A case study on Nanjing. Geographical Research, 2016, 35(10): 1846-1856.]
[15]	周春山, 许学强. 西方国家城市人口迁居研究进展综述[J]. 人文地理, 1996, 11(4): 23-27.
	[Zhou Chunshan, Xu Xueqiang. A summary of research progress on residential mobility in western cities. Human Geography, 1996, 11(4): 23-27.]
[16]	杨振山, 吴笛, 杨定. 迁居意愿、地方依赖和社区认同: 北京中关村地区居住选择调查分析[J]. 地理科学进展, 2019, 38(3): 417-427. doi: 10.18306/dlkxjz.2019.03.011
	[Yang Zhenshan, Wu Di, Yang Ding. Willingness to move, place dependence and community identity: An investigation of residential choice in the Zhongguancun area in Beijing. Progress in Geography, 2019, 38(3): 417-427.]
[17]	吴翔华, 陈昕雨, 袁丰. 南京市住房困难人群职住关系及影响因素分析[J]. 地理科学进展, 2019, 38(12): 1890-1902.
	[Wu Xianghua, Chen Xinyu, Yuan Feng. Job-housing relationship of people with housing difficulties and influencing factors in Nanjing City. Progress in Geography, 2019, 38(12): 1890-1902.]
[18]	周春山. 改革开放以来大都市人口分布与迁居研究: 以广州市为例[D]. 广州: 中山大学, 1994.
	[Zhou Chunshan. A case study on the distribution and relocation of metropolitan population since reform and opening-up: A case study of Guangzhou. Guangzhou, China: Sun Yat-sen University, 1994.]
[19]	柴彦威, 陈零极. 中国城市单位居民的迁居: 生命历程方法的解读[J]. 国际城市规划, 2009, 24(5): 7-14.
	[Chai Yanwei, Chen Lingji. The residential mobility of urban Danwei residents: A life course approach. Urban Planning International, 2009, 24(5): 7-14.]
[20]	古杰, 周素红, 闫小培. 生命历程视角下的广州市居民居住迁移的时空路径[J]. 地理研究, 2013, 32(1): 157-165. doi: 10.11821/yj2013010016
	[Gu Jie, Zhou Suhong, Yan Xiaopei. The space-time paths of residential mobility in Guangzhou from a perspective of life course. Geographical Research, 2013, 32(1): 157-165.]
[21]	刘望保, 闫小培. 转型期广州市居住迁移影响因素于户籍之间的比较[J]. 地理研究, 2007, 26(5): 1055-1066.
	[Liu Wangbao, Yan Xiaopei. Comparison of influencing factors for residential mobility between different household register types in transitional urban China: A case study of Guangzhou. Geographical Research, 2007, 26(5): 1055-1066.]
[22]	刘望保, 闫小培, 曹小曙. 广州城市内部居住迁移空间特征及其影响因素研究[J]. 人文地理, 2007, 96(4): 27-32.
	[Liu Wangbao, Yan Xiaopei, Cao Xiaoshu. The spatial characteristics and determinants of intra-urban residential mobility in Guangzhou. Human Geography, 2007, 96(4): 27-32.]
[23]	王宇凡, 冯健. 基于生命历程视角的郊区居民迁居行为重构: 以北京回龙观居住区为例[J]. 人文地理, 2013, 28(3): 34-41.
	[Wang Yufan, Feng Jian. Restructuring of suburban residents' intra-urban migration behavior based on life course: A case study of Huilongguan Community in Beijing. Human Geography, 2013, 28(3): 34-41.]
[24]	Cui C, Geertman S, Hooimeijer P. The intra-urban distribution of skilled migrants: Case studies of Shanghai and Nanjing[J]. Habitat International, 2014, 44: 1-10. doi: 10.1016/j.habitatint.2014.04.011
[25]	Cui C. Housing career disparities in urban China: A comparison between skilled migrants and locals in Nanjing[J]. Urban Studies, 2020, 57(3): 546-562. doi: 10.1177/0042098018800443
[26]	Kim J H, Pagliara F, Preston J. The intention to move and residential location choice behaviour[J]. Urban Studies, 2005, 42(9): 1621-1636.
[27]	张文忠, 刘旺. 西方城市居住区位决策与再选择模型的评述[J]. 地理科学进展, 2004, 23(1): 89-95.
	[Zhang Wenzhong, Liu Wang. The comment on research of western intra-urban residential relocation models. Progress in Geography, 2004, 23(1): 89-95.]
[28]	张文忠. 城市居民住宅区位选择的因子分析[J]. 地理科学进展, 2001, 20(3): 267-274.
	[Zhang Wenzhong. An analysis of the factors that influence the urban residential location selection. Progress in Geography, 2001, 20(3): 267-274.]
[29]	杜德斌, 崔裴, 刘小玲. 论住宅需求、居住选址与居住分异[J]. 经济地理, 1996, 16(1): 82-90.
	[Du Debin, Cui Pei, Liu Xiaoling. Housing demand, residential location and residential differentiation. Economic Geography, 1996, 16(1): 82-90.]
[30]	张文忠, 刘旺, 李业锦. 北京城市内部居住空间分布与居民居住区位偏好[J]. 地理研究, 2003, 22(6): 751-759.
	[Zhang Wenzhong, Liu Wang, Li Yejin. Housings' spatial distribution and residents' preference on housing location in Beijing. Geographical Research, 2003, 22(6): 751-759.]
[31]	周素红, 刘玉兰. 转型期广州城市居民居住与就业地区位选择的空间关系及其变迁[J]. 地理学报, 2010, 65(2): 191-201.
	[Zhou Suhong, Liu Yulan. The situation and transition of jobs-housing relocation in Guangzhou, China. Acta Geographica Sinica, 2010, 65(2): 191-201.]
[32]	Smith B, Olaru D. Lifecycle stages and residential location choice in the presence of latent preference heterogeneity[J]. Environment and Planning A: Economy and Space, 2013, 45(10): 2495-2514.
[33]	Lee B H Y, Waddell P. Residential mobility and location choice: A nested logit model with sampling of alternatives[J]. Transportation, 2010, 37(4): 587-601.
[34]	Sermons M W, Koppelman F S. Representing the differences between female and male commute behavior in residential location choice models[J]. Journal of Transport Geography, 2001, 9(2): 101-110.
[35]	Simpson W. Workplace location, residential location, and urban commuting[J]. Urban Studies, 1987, 24(2): 119-128.
[36]	Chen J, Chen C, Timmermans H J P. Accessibility trade-offs in household residential location decisions[J]. Transportation Research Record: Journal of the Transportation Research Board, 2008,2077(1): 71-79.
[37]	Wu W J, Zhang W Z, Dong G P. Determinant of residential location choice in a transitional housing market: Evidence based on micro survey from Beijing[J]. Habitat International, 2013, 39: 16-24.
[38]	Prashker J, Shiftan Y, Hershkovitch-Sarusi P. Residential choice location, gender and the commute trip to work in Tel Aviv[J]. Journal of Transport Geography, 2008, 16(5): 332-341.
[39]	Tillema T, van Wee B, Ettema D. The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach[J]. Transportation Research Part A: Policy and Practice, 2010, 44(10): 785-796.
[40]	Choocharukul K, Van H T, Fujii S. Psychological effects of travel behavior on preference of residential location choice[J]. Transportation Research Part A: Policy and Practice, 2008, 42(1): 116-124.
[41]	Pinjari A R, Pendyala R M, Bhat C R, et al. Modeling the choice continuum: An integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions[J]. Transportation, 2011, 38(6): 933-958.
[42]	Schirmer P M, van Eggermond M A B, Axhausen K W. The role of location in residential location choice models: A review of literature[J]. Journal of Transport and Land Use, 2014, 7(2): 3-21.
[43]	Fang Y P, Logan J R, Pal A. Emerging socio-spatial pattern of Chinese cities: The case of Beijing in 2006[J]. Habitat International, 2015, 47: 103-112.
[44]	Harold E, Leonard Z. Tenure choice, housing demand and residential location[J]. Journal of Real Estate Research, 1991, 6(3): 341-356.
[45]	Yi C, Lee S. An empirical analysis of the characteristics of residential location choice in the rapidly changing Korean housing market[J]. Cities, 2014, 39: 156-163.
[46]	Choudhury C F, Ayaz S B. Why live far? Insights from modeling residential location choice in Bangladesh[J]. Journal of Transport Geography, 2015, 48: 1-9.
[47]	Źróbek S, Trojanek M, Źróbek-Sokolnik A, et al. The influence of environmental factors on property buyers' choice of residential location in Poland[J]. Journal of International Studies, 2015, 8(3): 164-174.
[48]	Friedman J. A conditional logit model of the role of local public services in residential choice[J]. Urban Studies, 1981, 18(3): 347-358.
[49]	Bailey A J. Population geography: Lifecourse matters[J]. Progress in Human Geography, 2009, 33(3): 407-418.
[50]	Findlay A, McCollum D, Coulter R, et al. New mobilities across the life course: A framework for analysing demographically linked drivers of migration[J]. Population, Space and Place, 2015, 21(4): 390-402.
[51]	Geist C, McManus P A. Geographical mobility over the life course: Motivations and implications[J]. Population, Space and Place, 2008, 14(4): 283-303.
[52]	谭一洺, 柴彦威, 杨永春. 基于“推—拉”理论的城市少数民族居民迁居动因探讨[J]. 南京社会科学, 2017(3): 64-70, 80.
	[Tan Yiming, Chai Yanwei, Yang Yongchun. Motivation of migration with ethnic minority groups in the city based on pull-push theory: A case study in Lanzhou. Nanjing Journal of Social Sciences, 2017(3): 64-70, 80.]
[53]	赵莹, 柴彦威, 陈洁, 等. 时空行为数据的GIS分析方法[J]. 地理与地理信息科学, 2009, 25(5): 1-5.
	[Zhao Ying, Chai Yanwei, Chen Jie, et al. GIS-based analyzing method for spatial-temporal behavior data. Geography and Geo-Information Science, 2009, 25(5): 1-5.]
[54]	林荣平, 周素红, 闫小培. 1978年以来广州市居民职住地选择行为时空特征与影响因素的代际差异[J]. 地理学报, 2019, 74(4): 753-769.
	[Lin Rongping, Zhou Suhong, Yan Xiaopei. Intergenerational differences of spatio-temporal characteristics and influencing factors of home-work location changes since 1978: Empirical analysis based on the micro-survey in Guangzhou, China. Acta Geographica Sinica, 2019, 74(4): 753-769.]
[55]	Huang Y Q, Yi D C, Clark W A V. Multiple home ownership in Chinese cities: An institutional and cultural perspective[J]. Cities, 2020, 97: 102518. doi: 10.1016/j.cities.2019.102518. doi: 10.1016/j.cities.2019.102518
[56]	Mok D. Do two-earner households base their choice of residential location on both incomes?[J]. Urban Studies, 2007, 44(4): 723-750.
[57]	Cui C, Geertman S, Hooimeijer P. Residential mobility of skilled migrants in Nanjing, China[J]. Environment and Planning A: Economy and Space, 2015, 47(3): 625-642.
[58]	王春兰, 杨上广. 上海人口郊区化与新城发展动态分析[J]. 城市规划, 2015, 39(4): 65-70.
	[Wang Chunlan, Yang Shangguang. Dynamic analysis on population suburbanization and new town development of Shanghai City. City Planning Review, 2015, 39(4): 65-70.]
[59]	王德, 朱查松, 谢栋灿. 上海市居民就业地迁移研究: 基于手机信令数据的分析[J]. 中国人口科学, 2016(1): 80-89, 127.
	[Wang De, Zhu Chasong, Xie Dongcan. Research on intra-city employment mobility in Shanghai: Based on cell phone data. Chinese Journal of Population Science, 2016(1): 80-89, 127.]

属性	类别	频数	占比/%
性别	男	481	45.72
	女	571	54.28
世代	60后	253	24.05
	70后	314	29.85
	80后	361	34.31
	90后	124	9.79
婚姻状况	已婚	832	79.09
	未婚、离异或丧偶	220	20.91
户口	上海本地人	752	71.48
	新上海人	57	5.42
	外来人口	243	23.10
户口性质	城镇	909	86.41
户口性质	农村	143	13.59
学历	本科以下	655	62.26
学历	本科及以上	397	37.74
是否中共党员	是	128	12.17
	否	924	87.83
工作性质	体制内	379	36.03
	其他	673	63.97
家庭年收入	10万元以下	333	31.65
	10万~30万元	575	54.66
	30万元以上	144	13.69
住房产权	自有产权	830	78.90
	其他	222	21.10
居住区位	内环以内	235	22.34
	内环与中环间	358	34.03
	中环与外环间	295	28.04
	外环以外	164	15.59
居住迁移次数	0次	595	56.56
	1次	372	35.36
	2次	67	6.37
	3次及以上	18	1.71

变量	内环以内	内环与中环间	跨环线向内	跨环线向外
生命历程
世代(参照组：60后)
70后	-0.520	-0.333	-0.237	0.154
80后	-1.342^**	-0.826	-0.951^**	-0.484
90后	-1.508^*	-1.207	-1.501^**	-0.698
已婚	-0.192	0.620	-0.531	-0.090
有孩子	-0.698	-0.621	-0.381	-0.684
可达性
工作区位(参照组：内环以内)
内环与中环间	-1.439^**	-0.048	-0.745	-0.583
中环以外	-3.265^***	-1.935^***	-2.060^***	-1.821^***
汽车所有权(参照组：无车)	-0.033	-0.246	0.532	0.267
住房属性
产权变化(参照组：持续租赁型)
自有转租赁	0.114	0.450	0.180	0.304
租赁转自有	1.156^*	1.010	1.057^**	-0.077
持续自有型	-0.106	0.306	-0.096	-0.123
小区类型(参照组：其他)
商品房	0.108	0.405	-0.044	0.343
控制变量：个人的人口社会经济属性
性别(参照组：男性)	0.494	0.422	0.293	0.166
户口(参照组：上海本地人)
新上海人	-11.688^***	-0.153	-1.228	-0.336
外来城镇人口	0.292	0.148	0.221	0.019
外来农村人口	-0.140	-0.373	-0.257	-0.906^*
家庭年收入(参照组：小于10万元)
10万~30万元	1.114^**	0.138	0.461	0.469
30万元以上	2.461^***	1.075	1.293^**	1.660^***
职业(单位负责人及专业技术人员)	-0.807	0.881^**	-0.258	0.104
工作性质(体制内)	0.670	0.493	0.666^*	0.254
教育水平(本科及以上)	-0.180	0.318	0.249	-0.038
中共党员(参照组：非中共党员)	-2.819^**	-0.082	-0.313	-0.019
常数项	1.156	-0.396	1.753^**	1.229
有效样本数	560
Pseodu R²	0.141
Loglikelihood	-744.889
Wald检验(chi2)	1104.280

Patterns and determinants of location choice in residential mobility: A case study of Shanghai

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 59

Related Articles 15

Metrics

Comments

Recommended 0

[1]	WANG De, XIE Dongcan, WANG Can, YIN Zhenxuan. Regularity and predictability of individual spatiotemporal behavior:A case study of residents working day activities in Shanghai [J]. PROGRESS IN GEOGRAPHY, 2021, 40(3): 433-440.
[2]	WEI Zhudeng. Spatio-temporal characteristics of famine and its environmental causes in the Jiangsu-Shanghai region during the Qing Dynasty (1644-1911) [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1333-1344.
[3]	CHENG Hanbei, ZOU You, LIN Sainan, LI Zhigang. Review of recent research on the impacts of residential mobility on health [J]. PROGRESS IN GEOGRAPHY, 2020, 39(7): 1210-1223.
[4]	LONG Dongping, LIU Lin, CHEN Jianguo, XIAO Luzi, SONG Guangwen, XU Chong. Impact of prior crime experiences of street robbers on subsequent crime location choices [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 815-828.
[5]	XU Ning, LI Xiande. Evolution of Shanghai listed companies’ outward investment network and its determinants [J]. PROGRESS IN GEOGRAPHY, 2020, 39(4): 553-566.
[6]	LU Minghua, ZHOU Yueyan, LIU Hanchu, XU Xin. Spatiotemporal dynamics and influencing factors of direct investment in Hebei Province by Beijing’s enterprises [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 389-401.
[7]	JIN Annan, LI Gang, WANG Jianpo, Muhammad Sajid MEHMOOD, YU Yue, LIN Zhe. Location choice and optimization of development of community-oriented new retail stores: A case study of Freshippo stores in Nanjing City [J]. PROGRESS IN GEOGRAPHY, 2020, 39(12): 2013-2027.
[8]	Xingxing FU, Yue SHEN. Neighborhood attachment of suburban residents in the context of community life circle construction: A case study in Shanghai [J]. PROGRESS IN GEOGRAPHY, 2019, 38(6): 818-828.
[9]	Yue SHEN, Xingxing FU. Impact of the built environment and perceived neighborhood characteristics on residents’ satisfaction： Evidence from the Shanghai suburbs [J]. PROGRESS IN GEOGRAPHY, 2019, 38(5): 686-697.
[10]	Lvhan DUAN, Debin DU, Xiaoyu HUANG. Spatial and temporal changes and influencing factors of the location of internet start-ups in Shanghai, China [J]. PROGRESS IN GEOGRAPHY, 2019, 38(3): 383-394.
[11]	Zhenshan YANG, Di WU, Ding YANG. Willingness to move, place dependence and community identity: An investigation of residential choice in the Zhongguancun area in Beijing [J]. PROGRESS IN GEOGRAPHY, 2019, 38(3): 417-427.
[12]	Yinhua TAO, Yue SHEN. Spatial difference of medical facility accessibility and influencing factors: A comparative study of registered and floating populations in Shanghai [J]. PROGRESS IN GEOGRAPHY, 2018, 37(8): 1075-1085.
[13]	Weijing ZHONG, De WANG. Urban space study based on the temporal characteristics of residents' behavior [J]. PROGRESS IN GEOGRAPHY, 2018, 37(8): 1106-1118.
[14]	Wenyan HU, Mengya LI, Jun WANG, Qingyu HUANG. Urban traffic congestion caused by rainstorms and innudation [J]. PROGRESS IN GEOGRAPHY, 2018, 37(6): 772-780.
[15]	Min CHENG, Yuejiao LIAN. Spatial accessibility of urban medical facilities based on improved potential model: A case study of Yangpu District in Shanghai [J]. PROGRESS IN GEOGRAPHY, 2018, 37(2): 266-275.