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1

Buckle, Caitlin. "Residential mobility and moving home." Geography Compass 11, no. 5 (2017): e12314. http://dx.doi.org/10.1111/gec3.12314.

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2

Squire, Peverill, Raymond E. Wolfinger, and David P. Glass. "Residential Mobility and Voter Turnout." American Political Science Review 81, no. 1 (1987): 45–65. http://dx.doi.org/10.2307/1960778.

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We examine the characteristics of a largely ignored low-turnout group—people who have recently moved. We find that neither demographic nor attitudinal attributes explain their lower turnout. Instead, the requirement that citizens must register anew after each change in residence constitutes the key stumbling block in the trip to the polls. Since nearly one-third of the nation moves every two years, moving has a large impact on national turnout rates. We offer a proposal to reduce the effect of residential mobility on turnout and estimate that turnout would increase by nine percentage points if
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3

WINSTANLEY, ANN, DAVID C. THORNS, and HARVEY C. PERKINS. "Moving House, Creating Home: Exploring Residential Mobility." Housing Studies 17, no. 6 (2002): 813–32. http://dx.doi.org/10.1080/02673030216000.

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4

Sharp, Gregory, and Cody Warner. "Neighborhood Structure, Community Social Organization, and Residential Mobility." Socius: Sociological Research for a Dynamic World 4 (January 2018): 237802311879786. http://dx.doi.org/10.1177/2378023118797861.

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This article expands on classic models of residential mobility by investigating how neighborhood features influence mobility thoughts and actual mobility, with a particular focus on the role of neighborhood disorder and several indicators of community social organization. Using longitudinal data from the Los Angeles Family and Neighborhood Survey, the authors find that actual mobility is more susceptible to neighborhood structural conditions than are mobility thoughts. Specifically, neighborhood physical disorder and residential turnover affect the likelihood of moving, and disorder operates t
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5

Tucker, C. Jack, Jonathan Marx, and Larry Long. ""Moving On": Residential Mobility and Children's School Lives." Sociology of Education 71, no. 2 (1998): 111. http://dx.doi.org/10.2307/2673244.

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6

Yetter, Alyssa M. "Victimization-Precipitated Residential Mobility Among Women Offenders." Crime & Delinquency 64, no. 13 (2018): 1718–41. http://dx.doi.org/10.1177/0011128717751663.

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Victims of crime are likely to move residence following their victimization. However, the reasons for and the outcomes of victimization-precipitated moves remain unclear. The current study uses life event calendar data on jailed women to test two potential mechanisms: relationship dissolution and perceptions of neighborhood safety. In addition, this study seeks to understand how the safety of women’s residential contexts is affected by their past victimizations and residential mobility. Results show that intimate partner victimization is associated with increased odds of moving, and this relat
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7

Bures, Regina M. "Moving the Nest." Journal of Family Issues 30, no. 6 (2009): 837–51. http://dx.doi.org/10.1177/0192513x09332349.

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Using data from the 1992-2000 waves of the Health and Retirement Study, this article examines the relationship between the presence and age of children in the home and parental mobility in midlife. Although a substantial literature evaluates the factors affecting the timing of children leaving (and returning) home, less attention has been paid to the residential changes that parents may experience during this stage of the family life cycle. As young adults leave home, family ties that keep their parents in a place may weaken, precipitating residential change. Results indicate that parents with
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8

Rodman, Margaret C. "Moving Houses: Residential Mobility and the Mobility of Residences in Longana, Vanuatu." American Anthropologist 87, no. 1 (1985): 56–72. http://dx.doi.org/10.1525/aa.1985.87.1.02a00060.

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9

Lu, M. "Analyzing Migration Decisionmaking: Relationships between Residential Satisfaction, Mobility Intentions, and Moving Behavior." Environment and Planning A: Economy and Space 30, no. 8 (1998): 1473–95. http://dx.doi.org/10.1068/a301473.

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Research on migration decisionmaking has been centered on the notion that residential satisfaction and mobility intentions are intervening variables which fully mediate the effects of structural factors on moving behavior. Results from empirical studies, however, have rendered only modest support for this view. The author examines the role of residential satisfaction and mobility intentions vis-à-vis structural variables in migration decisionmaking with the aid of data drawn from the 1985–1989 waves of the American Housing Survey. A conceptual model is derived which is based on behavioral theo
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10

Clark, William A. V., and Youqin Huang. "The Life Course and Residential Mobility in British Housing Markets." Environment and Planning A: Economy and Space 35, no. 2 (2003): 323–39. http://dx.doi.org/10.1068/a3542.

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There is a substantial research literature on residential mobility in general, and the role of housing space in triggering moves in particular. The authors extend that research to mobility in British housing markets, using data from the British Household Panel Survey. They confirm the applicability of the general residential mobility model and also confirm the value both of pooled cross-sectional and of true longitudinal models of residential change. Age, tenure, and room stress (housing-space requirements) are found to be significant predictors of moving. In addition, the life course ‘trigger
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11

Magre, Jaume, Joan-Josep Vallbé, and Mariona Tomàs. "Moving to suburbia? Effects of residential mobility on community engagement." Urban Studies 53, no. 1 (2014): 17–39. http://dx.doi.org/10.1177/0042098014562532.

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12

Vaalavuo, Maria, Maarten van Ham, and Timo M. Kauppinen. "Income Mobility and Moving to a Better Neighbourhood: An Enquiry into Ethnic Differences in Finland." European Sociological Review 35, no. 4 (2019): 538–51. http://dx.doi.org/10.1093/esr/jcz017.

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Abstract The spatial concentration of immigrants in disadvantaged neighbourhoods may hinder their opportunities for social and economic integration. It is therefore important that immigrants can translate their available economic resources into mobility to less disadvantaged neighbourhoods. This study adds to existing research on the relationship between socioeconomic and spatial integration by focusing on the effects of income mobility on residential mobility. We analyse intra-urban residential mobility from low-income neighbourhoods into non-low-income neighbourhoods among immigrants and nat
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13

Lewis, Dan A., and Vandna Sinha. "Moving Up and Moving Out? Economic and Residential Mobility of Low-Income Chicago Families." Urban Affairs Review 43, no. 2 (2007): 139–70. http://dx.doi.org/10.1177/1078087407305601.

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14

McCann, Stewart J. H. "Comparing American State Resident Neuroticism and State Tightness-Looseness as Predictors of Annual State Residential Mobility." Psychological Reports 118, no. 3 (2016): 861–69. http://dx.doi.org/10.1177/0033294115627525.

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State resident neuroticism and the Harrington and Gelfand state tightness-looseness dimension were compared as predictors of state levels of residential mobility from 2004 to 2005 in the 50 American states. Hierarchical multiple regression controlled for state SES, white population percent, urban population percent, home ownership percent, and percent of home owners or renters paying 30 percent or more of household income for housing. Not moving was associated with higher neuroticism but not with tightness-looseness. Same-county moving, different-county moving, and within-state moving was asso
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15

Nathan, Kim, Oliver Robertson, Polly Atatoa Carr, Philippa Howden-Chapman, and Nevil Pierse. "Residential mobility and socioemotional and behavioural difficulties in a preschool population cohort of New Zealand children." Journal of Epidemiology and Community Health 73, no. 10 (2019): 947–53. http://dx.doi.org/10.1136/jech-2019-212436.

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BackgroundFindings regarding early residential mobility and increased risk for socioemotional and behavioural (SEB) difficulties in preschool children are mixed, with some studies finding no evidence of an association once known covariates are controlled for. Our aim was to investigate residential mobility and SEB difficulties in a population cohort of New Zealand (NZ) children.MethodsData from the Integrated Data Infrastructure were examined for 313 164 children born in NZ since 2004 who had completed the Before School Check at 4 years of age. Residential mobility was determined from address
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16

Breetzke, Gregory, and Devon Polaschek. "Moving Home: Examining the Independent Effects of Individual- and Neighborhood-Level Residential Mobility on Recidivism in High-Risk Parolees." International Journal of Offender Therapy and Comparative Criminology 62, no. 10 (2017): 2982–3005. http://dx.doi.org/10.1177/0306624x17735985.

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A number of studies have shown that the residential mobility of an offender postrelease can significantly influence recidivism. Research has also shown how the mobility of neighborhoods into which offenders are released is an important contextual factor that predicts recidivism. Within the social disorganization framework, this study combines these lines of research by examining the effect of both individual- and neighborhood-level residential mobility on recidivism for a cohort of high-risk prisoners released on parole in New Zealand. Using multilevel analysis techniques, we found that neithe
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17

Lardiés-Bosque, Raúl. "Residential mobility, second homes and quality of life: Consequences of moving out from the city of Madrid." Bulletin of Geography. Socio-economic Series 37, no. 37 (2017): 51–62. http://dx.doi.org/10.1515/bog-2017-0024.

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Abstract Residential mobility and migration of retired people is an emerging issue in western societies. Moreover, the Quality of Life (QoL) of old people has become a challenge in our societies, of great interest for researchers and planners. Nevertheless, few studies have investigated how mobility and/or migration help improve QoL. This paper aims to determine the influence of retired people’s residential mobility on the different dimensions of their life. Factors driving residential mobility in this population group are analysed, as well as the sociodemographic characteristics of this group
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18

Glick, Jennifer E., and Scott T. Yabiku. "A Moving Paradox: A Binational View of Obesity and Residential Mobility." Journal of Immigrant and Minority Health 17, no. 2 (2014): 489–97. http://dx.doi.org/10.1007/s10903-014-0030-y.

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19

Coulter, Rory, Maarten van Ham, and Peteke Feijten. "A Longitudinal Analysis of Moving Desires, Expectations and Actual Moving Behaviour." Environment and Planning A: Economy and Space 43, no. 11 (2011): 2742–60. http://dx.doi.org/10.1068/a44105.

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Residential mobility theory proposes that moves are often preceded by the expression of moving desires and expectations. Much research has investigated how individuals form these premove thoughts, with a largely separate literature examining actual mobility. Although a growing number of studies link premove thoughts to subsequent moving behaviour, these often do not distinguish explicitly between different types and combinations of premove thoughts. Using 1998–2006 British Household Panel Survey data, this study investigates whether moving desires and expectations are empirically distinct prem
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20

Bloem, Brigitte, Theo Van Tilburg, and Fleur Thomése. "Residential Mobility in Older Dutch Adults : Influence of Later Life Events." International Journal of Ageing and Later Life 3, no. 1 (2008): 21–44. http://dx.doi.org/10.3384/ijal.1652-8670.083121.

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In this study we examined life course events of older Dutch adults in relation to three types of moves and the moving distance. Using the frameworks developed by Litwak and Longino (1987) and Mulder and Hooimeijer (1999), we stipulated life events or triggers and conditions in various life domains. We selected a total of 1,160 men and 1,321 women (aged 54 to 91) from the Longitudinal Aging Study Amsterdam. We conducted multinomial logistic regression analyses to predict moves to a residential care facility, adapted housing or regular housing and to predict the moving distance. Retirement, an e
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21

Jeon, Jae Sik. "Moving away from opportunity? Social networks and access to social services." Urban Studies 57, no. 8 (2019): 1696–713. http://dx.doi.org/10.1177/0042098019844197.

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Strong social connections often deter residential mobility beyond reach of the social network. A missing link in the body of research on this subject is the significance of the role of social networks in pooling resources for costly services and neighbourhood-level access to social services. Few have explored whether assistance from local social service agencies may substitute for practical help from social networks, thereby enabling low-income assisted renters to locate housing in more desirable neighbourhoods. Relying on data from the Moving to Opportunity experiment, this article examines t
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22

Li, Si-ming, Sanqin Mao, and Huimin Du. "Residential mobility and neighbourhood attachment in Guangzhou, China." Environment and Planning A: Economy and Space 51, no. 3 (2018): 761–80. http://dx.doi.org/10.1177/0308518x18804828.

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Wholesale redevelopment, suburbanization and increased population mobility in recent decades have brought significant social and spatial changes to urban neighbourhoods in Chinese cities, not least the subjective feelings of residents about their neighbourhoods. While there is a substantial literature on urban restructuring and migration at different geographical scales, relatively little is known about how feelings such as neighbourhood attachment are conditioned upon residential mobility and neighbourhood change in Chinese cities. To address this deficiency in the literature, multi-level mod
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23

Vogel, Matt, and Merle Zwiers. "The Consequences of Spatial Inequality for Adolescent Residential Mobility." Social Sciences 7, no. 9 (2018): 164. http://dx.doi.org/10.3390/socsci7090164.

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A large body of literature suggests that neighborhood socioeconomic disadvantage is positively associated with out-mobility. However, prior research has been limited by (1) the inability to account for endogenous factors that both funnel families into deprived neighborhoods and increase their likelihood of moving out, and (2) the failure to consider how the spatial distribution of socioeconomic deprivation in the broader community conditions the effect of local deprivation on mobility. This paper attends to this gap in the literature by examining how changes in socioeconomic disadvantage betwe
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24

John, Peter, Keith Dowding, and Stephen Biggs. "Residential Mobility in London: A Micro-Level Test of the Behavioural Assumptions of the Tiebout Model." British Journal of Political Science 25, no. 3 (1995): 379–97. http://dx.doi.org/10.1017/s0007123400007250.

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The Tiebout model, which theorizes that residential choice can regulate the supply of local collective goods, has generated much criticism, but few empirical tests of its behavioural assumptions. The article presents the findings of the first British micro-level test of the effect of local taxes and services on geographical mobility, a postal survey of households' moving decisions in four London boroughs during the years of the poll tax. Taxes and services are found to be important factors in the moving decision, corroborating the behavioural assumptions of the model. Respondents acted Tiebout
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25

Airaksinen, Jaakko, Christian Hakulinen, Marko Elovainio, et al. "Moving on: How depressive symptoms, social support, and health behaviors predict residential mobility." Scandinavian Journal of Public Health 44, no. 4 (2015): 394–401. http://dx.doi.org/10.1177/1403494815622850.

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26

Clark, WAV, and J. L. Onaka. "An Empirical Test of a Joint Model of Residential Mobility and Housing Choice." Environment and Planning A: Economy and Space 17, no. 7 (1985): 915–30. http://dx.doi.org/10.1068/a170915.

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A nested multinomial logit (MNL) model is used to estimate the joint choice of moving and housing selection. The coefficients are derived from a sequential application of the standard MNL model using maximum likelihood. The choice of the dwelling type is followed by choice of neighborhood and finally by the choice of moving or staying. The models are estimated for three household categories and nine neighborhoods with data from the Rand Corporation Housing Allowance Supply Experiment. The dwelling-type choice model fits reasonably well and shows the expected significant impact of space on dwel
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27

Oropesa, R. S. "Neighborhood Associations, Political Repertoires and Neighborhood Exits." Sociological Perspectives 32, no. 4 (1989): 435–52. http://dx.doi.org/10.2307/1389131.

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The ways in which residents can respond to neighborhood problems are well understood. Residents can act politically, move or stay put and remain inactive. Less understood are the temporal and empirical relationships between these different strategies. Social scientists and policy makers currently believe, with little empirical evidence, that the decision to move from the community is a function of one's political experiences and involvement in institutions that resolve conflicts. Using survey data collected in Seattle, Washington during the late 1970s, the empirical results are initially more
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28

Yi, Changhyo, and Kijung Kim. "A Machine Learning Approach to the Residential Relocation Distance of Households in the Seoul Metropolitan Region." Sustainability 10, no. 9 (2018): 2996. http://dx.doi.org/10.3390/su10092996.

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This study aimed to evaluate the applicability of a machine learning approach to the description of residential mobility patterns of households in the Seoul metropolitan region (SMR). The spatial range and temporal scope of the empirical study were set to 2015 to review the most recent residential mobility patterns in the SMR. The analysis data used in this study included the Internal Migration Statistics microdata provided by the Microdata Integrated Service of Statistics Korea. We analysed the residential relocation distance of households in the SMR using machine learning techniques, such as
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Hipp, John R., Susan Turner, and Jesse Jannetta. "Are Sex Offenders Moving into Social Disorganization? Analyzing the Residential Mobility of California Parolees." Journal of Research in Crime and Delinquency 47, no. 4 (2010): 558–90. http://dx.doi.org/10.1177/0022427810381093.

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30

Sergeant, Julie F., and David J. Ekerdt. "Motives for Residential Mobility in Later Life: Post-Move Perspectives of Elders and Family Members." International Journal of Aging and Human Development 66, no. 2 (2008): 131–54. http://dx.doi.org/10.2190/ag.66.2.c.

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This qualitative study delineates motives for residential mobility, describes dynamics between the elder and family members during the move decision process, and locates the move decision within ecological layers of the aging context. Interviews were conducted with 30 individuals and couples (ages 60–87) who experienced a community-based move within the past year, and with 14 extended family members. Reasons for moving (from perspectives of both elders who moved and their family members) were grouped into four themes and eleven issues that influenced the move decision. These themes parallel th
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31

DeLuca, Stefanie, Holly Wood, and Peter Rosenblatt. "Why Poor Families Move (And Where They Go): Reactive Mobility and Residential Decisions." City & Community 18, no. 2 (2019): 556–93. http://dx.doi.org/10.1111/cico.12386.

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Despite frequent moves, low–income black families are more likely than any other group to churn among disadvantaged neighborhoods, and the least likely to escape them. Traditional explanations for neighborhood inequality invoke racial preferences and barriers to living in high–income neighborhoods, but recent work suggests that it is also involuntary mobility—such as eviction—which predicts the neighborhood destinations of poor African American families in urban areas. However, we know little about how individuals actually make residential decisions under such unplanned and constrained conditi
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32

Martin, Gregory J., and Steven W. Webster. "Does residential sorting explain geographic polarization?" Political Science Research and Methods 8, no. 2 (2018): 215–31. http://dx.doi.org/10.1017/psrm.2018.44.

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AbstractPolitical preferences in the United States are highly correlated with population density, at national, state, and metropolitan-area scales. Using new data from voter registration records, we assess the extent to which this pattern can be explained by geographic mobility. We find that the revealed preferences of voters who move from one residence to another correlate with partisan affiliation, though voters appear to be sorting on non-political neighborhood attributes that covary with partisan preferences rather than explicitly seeking politically congruent neighbors. But, critically, w
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33

HILLCOAT-NALLÉTAMBY, SARAH, and JIM OGG. "Moving beyond ‘ageing in place’: older people's dislikes about their home and neighbourhood environments as a motive for wishing to move." Ageing and Society 34, no. 10 (2013): 1771–96. http://dx.doi.org/10.1017/s0144686x13000482.

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ABSTRACTAgeing in place has been promoted by policy makers as the optimal residential solution for later life, premised on older people's reluctance to contemplate relocation, their declining residential mobility and high levels of residential satisfaction. This paper takes a critical perspective to the notion of ageing in place by examining older people's dislikes about, rather than levels of satisfaction with their home and neighbourhood environments, and establishing whether such dislikes influence a desire to move. Analysis of the 2004 Living in Wales Survey shows that despite high levels
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34

Rosenbaum, Emily, and Laura E. Harris. "Residential mobility and opportunities: Early impacts of the moving to opportunity demonstration program in Chicago." Housing Policy Debate 12, no. 2 (2001): 321–46. http://dx.doi.org/10.1080/10511482.2001.9521408.

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35

Sciandra, Matthew, Lisa Sanbonmatsu, Greg J. Duncan, et al. "Long-term effects of the Moving to Opportunity residential mobility experiment on crime and delinquency." Journal of Experimental Criminology 9, no. 4 (2013): 451–89. http://dx.doi.org/10.1007/s11292-013-9189-9.

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36

Goyette, Kimberly, John Iceland, and Elliot Weininger. "Moving for the Kids: Examining the Influence of Children on White Residential Segregation." City & Community 13, no. 2 (2014): 158–78. http://dx.doi.org/10.1111/cico.12058.

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White households with children are the least likely of all household types to live in integrated neighborhoods, yet few researchers have questioned whether children themselves influence residential decision–making. Children may affect both residential preferences and constraints and in turn, household mobility decisions that shape patterns of segregation and integration. Following a cohort of household heads in the Panel Study of Income Dynamics, we find that white households whose oldest child is younger than six are more likely to move when the percentage of black residents and diversity in
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37

Paksarian, Diana, Betina B. Trabjerg, Kathleen R. Merikangas, et al. "Adolescent residential mobility, genetic liability and risk of schizophrenia, bipolar disorder and major depression." British Journal of Psychiatry 217, no. 1 (2020): 390–96. http://dx.doi.org/10.1192/bjp.2020.8.

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BackgroundResidential mobility during upbringing, and especially adolescence, is associated with multiple negative mental health outcomes. However, whether associations are confounded by unmeasured familial factors, including genetic liability, is unclear.AimsWe used a population-based case–cohort study to assess whether polygenic risk scores (PRSs) for schizophrenia, bipolar disorder and major depression were associated with mobility from ages 10–14 years, and whether PRS and parental history of mental disorder together explained associations between mobility and each disorder.MethodInformati
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De Jong, Petra A., and Aleid E. Brouwer. "Residential Mobility of Older Adults in the Dutch Housing Market: Do Individual Characteristics and Housing Attributes Have an Effect on Mobility?" European Spatial Research and Policy 19, no. 1 (2012): 33–47. http://dx.doi.org/10.2478/v10105-012-0004-9.

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The ageing of the population will change many societies in unprecedented ways. The changing age composition does not only create a burden on existing income systems and health care systems, but also affects the geographical mobility of populations. The objective of this paper is to provide some first insights into the moving behaviour of older adults in the Netherlands. By using data of the Housing Research Netherlands (HRN) 2009 survey, it was possible to investigate whether or not later-life residential mobility is influenced by individual characteristics and housing attributes. The response
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STURTEVANT, LISA A., and YU JIN JUNG. "Are We Moving Back to the City? Examining Residential Mobility in the Washington, DC Metropolitan Area." Growth and Change 42, no. 1 (2011): 48–71. http://dx.doi.org/10.1111/j.1468-2257.2010.00543.x.

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ASLAM, Atif Bilal, Houshmand E. MASOUMI, Nida NAEEM, and Mohammad AHMAD. "Residential location choices and the role of mobility, socioeconomics, and land use in Hafizabad, Pakistan." Urbani izziv 1, no. 30 (2019): 115–28. http://dx.doi.org/10.5379/urbani-izziv-en-2019-30-01-004.

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Residential self-selection in developing countries and its relation to urban transportation are understudied and not fully understood. This knowledge gap is even greater in the case of small cities in the developing world. This study takes Hafizabad, Pakistan as a case study with the objective of providing data for future quantitative analyses about residential location choices in small cities on the Indian subcontinent. A sample of 365 residents was interviewed from four neighbourhoods with a combined population of 19,042. This resulted in individual and household response rates of 1.92% and
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41

Tobey, Ronald, Charles Wetherell, and Jay Brigham. "Moving Out and Settling In: Residential Mobility, Home Owning, and the Public Enframing of Citizenship, 1921-1950." American Historical Review 95, no. 5 (1990): 1395. http://dx.doi.org/10.2307/2162691.

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42

Gambaro, Ludovica, Heather Joshi, and Ruth Lupton. "Moving to a better place? Residential mobility among families with young children in the Millennium Cohort Study." Population, Space and Place 23, no. 8 (2017): e2072. http://dx.doi.org/10.1002/psp.2072.

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Calnan, Ray, and Gary Painter. "The response of Latino immigrants to the Great Recession: Occupational and residential (im)mobility." Urban Studies 54, no. 11 (2016): 2561–91. http://dx.doi.org/10.1177/0042098016650567.

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During the Great Recession in the US, there were distinct housing and labour markets that were particularly hard hit. This was primarily due to the fact that the housing industry had fueled much of the recent economic growth. This article takes advantage of the shock to the construction industry to investigate the responses of Latino immigrants in metropolitan areas that were most heavily concentrated with Latino immigrants in the construction industry. As expected, there were large declines in the proportion of the Latino immigrant population that was working in the construction industry duri
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van Gent, Wouter, Marjolijn Das, and Sako Musterd. "Sociocultural, economic and ethnic homogeneity in residential mobility and spatial sorting among couples." Environment and Planning A: Economy and Space 51, no. 4 (2019): 891–912. http://dx.doi.org/10.1177/0308518x18823754.

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This study aims to advance the spatial conceptualization of ‘social homophily’ by relating the match, or mismatch, between a household’s social and sociocultural characteristics and the characteristics of the neighbourhood of residence to the probability of moving away from that neighbourhood. Three matching dimensions were investigated: economic status, ethnic background and sociocultural disposition. This paper’s focus is on the sociocultural dimension because this has not been included extensively in large-scale research so far. Initially we investigate how level of education at the househo
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Fokkema, T., and L. Van Wissen. "Moving Plans of the Elderly: A Test of the Stress-Threshold Model." Environment and Planning A: Economy and Space 29, no. 2 (1997): 249–68. http://dx.doi.org/10.1068/a290249.

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The aim of this paper is to develop and test a theoretical model for the explanation of moving plans among elderly persons. This model of moving behaviour of the elderly is more or less similar to the ‘residential satisfaction model of relocation’, developed by Speare, and consists of three sets of variables: (1) background characteristics (personal characteristics, discrepancies with regard to several housing and neighbourhood characteristics, and social bonds); (2) level of housing and neighbourhood dissatisfaction; and (3) moving plans. The main feature of this model is the intervening role
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M Dowling, Conor, Matthew Mullarkey, and Siobhán Clarke. "A District Approach to Smart Mobility." Muma Case Review 6 (2021): 001–18. http://dx.doi.org/10.28945/4859.

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“As a Smart City district evolves, and its success as a business location of choice grows, we need to ensure that mobility challenges are addressed for all communities. Smart technologies are a major factor.” – Ronan Herron Ronan Herron had recently been appointed the Smart Dublin Coordinator with responsibility for Smart Sandyford and was travelling to its launch on the modern Luas light rail system. Ronan found himself marvelling at the changes to the Sandyford area since he first started working in the Council twelve years earlier: Gone was the old industrial landscape with pockets of sad-l
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Goldsmith, Pat Rubio, Marcus L. Britton, Bruce Reese, and William Velez. "Will Moving to a Better Neighborhood Help? Teenage Residential Mobility, Change of Context, and Young-Adult Educational Attainment." Urban Affairs Review 53, no. 2 (2016): 305–37. http://dx.doi.org/10.1177/1078087416634899.

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Research suggests that growing up in more affluent neighborhoods improves educational attainment. But would it help adolescents to move to relatively more affluent neighborhoods, as theories of neighborhood effects anticipate? Does it depend on the magnitude of the change of context? To answer these questions, we use data from the National Educational Longitudinal Survey and the 1990 Census to estimate models using propensity score methods. We found that both upward mobility and change of context during adolescence had small effects on long-term educational attainment that varied by race, soci
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DeLuca, Stefanie, and Christine Jang–Trettien. "“Not Just a Lateral Move”: Residential Decisions and the Reproduction of Urban Inequality." City & Community 19, no. 3 (2020): 451–88. http://dx.doi.org/10.1111/cico.12515.

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Despite decades of research on residential mobility and neighborhood effects, we know comparatively less about how people sort across geography. In recent years, scholars have been calling for research that considers residential selection as a social stratification process. In this paper, we present findings from work our team has done over the last 17 years to explore how people end up living where they do, relying in large part on systematically sampled in–depth narrative interviews with families. We focus on four key decisions: whether to move; where to move; whether to send children to sch
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Haandrikman, Karen. "Partner choice in Sweden: How distance still matters." Environment and Planning A: Economy and Space 51, no. 2 (2018): 440–60. http://dx.doi.org/10.1177/0308518x18786726.

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Spatial homogamy, or the geographical closeness of life partners, has received little attention in recent decades. Theoretically, partners may be found anywhere in the world, as increases in educational participation, affluence, mobility and internet access have reduced the meaning of geographical distance in general. This paper examines whether geography still matters in the Swedish partner market, by examining distances between partners before co-residence over time. Register data are used to track the residential histories (1990–2008) of couples who married or had a child in 1996, 2002 or 2
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Kelly, Robert L., and Lawrence C. Todd. "Coming into the Country: Early Paleoindian Hunting and Mobility." American Antiquity 53, no. 2 (1988): 231–44. http://dx.doi.org/10.2307/281017.

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Hunter-gatherer adaptations to long-term fluctuations in regional resource structure require mechanisms to cope with periodic subsistence stresses. Among documented groups, a common response to such stress is temporary movement into adjacent occupied areas-moving in with "relatives" when things go wrong. However, in the case of early (ca. 12,000-10,000 B.P.) Paleoindian groups in the Americas, the availability of neighboring groups with a detailed knowledge of local resource geography could not be relied upon. Post-Pleistocene environmental changes and the low initial population of the New Wor
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