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Journal articles on the topic 'Residential relocation'

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Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Dimond, Margaret, Kathryn McCance, Kathleen King, Jeanne Quint Benoliel, and Betty L. Chang. "Forced Residential Relocation." Western Journal of Nursing Research 9, no. 4 (November 1987): 445–64. http://dx.doi.org/10.1177/019394598700900403.

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2

Rashidi, Taha H., and Milad Ghasri. "A competing survival analysis for housing relocation behaviour and risk aversion in a resilient housing market." Environment and Planning B: Urban Analytics and City Science 46, no. 1 (April 20, 2017): 122–42. http://dx.doi.org/10.1177/2399808317703381.

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Residential relocation decision making is a complicated process, and modelling this complex course of actions requires careful scrutinisation of different aspects. The relocation decision comprises several different decisions, including the reason for the relocation, relocation timing, and attributes of the desired residence. Among these decisions needing to be taken, the reason for relocation and its timing are decided earlier than others. Depending on the variant reasons and motivations for relocating, its timing may be accelerated or decelerated. Relocation usually occurs because of a multiplicity of reasons, which necessitates using a multivariate model for relocation decision making that is jointly modelled with the timing decision. A competing accelerated failure model to jointly formulate these decisions. The housing search literature emphasizes on the importance of considering financial risk acceptance level of decision makers in residential relocation decision models. Therefore, a binary logit model is used to model whether the decision maker is financially risk averse or not. This paper used longitudinal data collected in Australia from the Household, Income, and Labour Dynamics in Australia Survey. Further, the impact of group decision making on residential relocation is captured in this paper through the information provided in Household, Income, and Labour Dynamics in Australia Survey regarding the manner in which decisions are made within households.

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3

Lovasi, Gina S., John M. Richardson, Carlos J. Rodriguez, Willem J. Kop, Ali Ahmed, Arleen F. Brown, Heather Greenlee, and David S. Siscovick. "Residential Relocation by Older Adults in Response to Incident Cardiovascular Health Events: A Case-Crossover Analysis." Journal of Environmental and Public Health 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/951971.

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Objective. We use a case-crossover analysis to explore the association between incident cardiovascular events and residential relocation to a new home address.Methods. We conducted an ambidirectional case-crossover analysis to explore the association between incident cardiovascular events and residential relocation to a new address using data from the Cardiovascular Health Study (CHS), a community-based prospective cohort study of 5,888 older adults from four U.S. sites beginning in 1989. Relocation was assessed twice a year during follow-up. Event occurrences were classified as present or absent for the period preceding the first reported move, as compared with an equal length of time immediately prior to and following this period.Results. Older adults (65+) that experience incident cardiovascular disease had an increased probability of reporting a change of residence during the following year (OR 1.6, 95% confidence interval (CI) = 1.2–2.1). Clinical conditions associated with relocation included stroke (OR: 2.0, 95% CI: 1.2–3.3), angina (OR: 1.6, 95% CI: 1.0–2.6), and congestive heart failure (OR: 1.5, 95% CI: 1.0–2.1).Conclusions. Major incident cardiovascular disease may increase the probability of residential relocation in older adults. Case-crossover analyses represent an opportunity to investigate triggering events, but finer temporal resolution would be crucial for future research on residential relocations.

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Granbom, Marianne, Nancy Perrin, Sarah Szanton, Thomas K.M. Cudjoe, and Laura N. Gitlin. "Household Accessibility and Residential Relocation in Older Adults." Journals of Gerontology: Series B 74, no. 7 (December 5, 2018): e72-e83. http://dx.doi.org/10.1093/geronb/gby131.

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Abstract Objectives It is unclear how home environmental factors influence relocation decisions. We examined whether indoor accessibility, entrance accessibility, bathroom safety features, housing type, and housing condition were associated with relocations either within the community or to residential care facilities. Methods We used prospective data over 4 years from the nationally representative National Health and Aging Trends Study in the United States of Medicare beneficiaries 65 years and older living in the community (N = 7,197). We used multinomial regression analysis with survey weights. Results Over the 4 years, 8.2% of the population moved within the community, and 3.9% moved to residential care facilities. After adjusting for demographics and health factors, poor indoor accessibility was found to be associated with moves within the community but not to residential care facilities. No additional home environmental factors were associated with relocation. Discussion One-floor dwellings, access to a lift, or having a kitchen, bedroom, and bathroom on the same floor may help older adults age in place. Understanding which modifiable home environmental factors trigger late-life relocation, and to where, has practical implications for developing policies and programs to help older adults age in their place of choice.

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5

Doff, Wenda, and Reinout Kleinhans. "Residential Outcomes of Forced Relocation." Urban Studies 48, no. 4 (August 16, 2010): 661–80. http://dx.doi.org/10.1177/0042098010366745.

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6

Wang, Fenglong, and Donggen Wang. "Changes in residential satisfaction after home relocation: A longitudinal study in Beijing, China." Urban Studies 57, no. 3 (September 4, 2019): 583–601. http://dx.doi.org/10.1177/0042098019866378.

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The literature on residential mobility pays little attention to the outcomes of residential relocation and their determinants. This study aims to address this shortfall by examining the link between home relocation and change in residential satisfaction based on data from a two-wave sample survey in Beijing, China. The data is collected through interviews with a sample of 537 participants who planned to move and eventually did move in Beijing. A multi-level structural equation model is developed to analyse the determinants of change in residential satisfaction after home relocation. The results show that people generally become more satisfied with their residence after relocation. The major determinants of residential satisfaction changes are adjustments in housing conditions (including housing tenure and dwelling space) and neighbourhood environment (including physical design, absence of nuisance, social interaction and accessibility to various facilities). The findings of this research not only enrich the literature on residential satisfaction and residential mobility, but may also help to improve urban planning and public housing policies.

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7

Ersing, Robin L., Richard Sutphen, and Diane Nicole Loeffler. "Exploring the Impact and Implications of Residential Mobility: From the Neighborhood to the School." Advances in Social Work 10, no. 1 (March 19, 2009): 1–18. http://dx.doi.org/10.18060/77.

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This cross-sectional study examines residential relocation among a cohort of 495 fifth graders in one urban community in the Southeastern U.S. The impact of residential mobility is discussed in relation to student/family outcomes as well as the stressors placed upon schools. Results support previous findings which suggest residential relocation is correlated with academic problems. In addition, highly mobile students are twice as likely to be referred by teachers for disciplinary intervention and families are five times more likely than their residentially stable counterparts to be involved with child protective services. Implications from this study address the need for school systems, including school social workers, to look beyond the classroom to understand and respond to the needs of highly mobile families.

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8

Beenackers, Mariëlle A., Sarah Foster, Carlijn B. M. Kamphuis, Sylvia Titze, Mark Divitini, Matthew Knuiman, Frank J. van Lenthe, and Billie Giles-Corti. "Taking Up Cycling After Residential Relocation." American Journal of Preventive Medicine 42, no. 6 (June 2012): 610–15. http://dx.doi.org/10.1016/j.amepre.2012.02.021.

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9

KAMPFE, CHARLENE M. "Older Adults' Perceptions of Residential Relocation." Journal of Humanistic Counseling, Education and Development 41, no. 1 (March 2002): 103–13. http://dx.doi.org/10.1002/j.2164-490x.2002.tb00133.x.

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10

Hikichi, Hiroyuki, Jun Aida, Katsunori Kondo, and Ichiro Kawachi. "Six-year follow-up study of residential displacement and health outcomes following the 2011 Japan Earthquake and Tsunami." Proceedings of the National Academy of Sciences 118, no. 2 (January 4, 2021): e2014226118. http://dx.doi.org/10.1073/pnas.2014226118.

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Studies examining the long-term health consequences of residential displacement following large-scale disasters remain sparse. Following the 2011 Japan Earthquake and Tsunami, victims who lost their homes were resettled by two primary means: 1) group relocation to public housing or 2) individual relocation, in which victims moved into public housing by lottery or arranged for their own accommodation. Little is known about how the specific method of residential relocation affects survivors’ health. We examined the association between residential relocation and long-term changes in mental and physical well-being. Our baseline assessment predated the disaster by 7 mo. Two follow-up surveys were conducted ∼2.5 y and 5.5 y after the disaster to ascertain the long-term association between housing arrangement and health status. Group relocation was associated with increased body mass index and depressive symptoms at 2.5-y follow-up but was no longer significantly associated with these outcomes at 5.5-y follow-up. Individual relocation at each follow-up survey was associated with lower instrumental activities of daily living as well as higher risk of cognitive impairment. Our findings underscore the potential complexity of long-term outcomes associated with residential displacement, indicating both positive and negative impacts on mental versus physical dimensions of health.

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11

Robson, Sarah, Julia A. Yesberg, Marc S. Wilson, and Devon L. L. Polaschek. "A Fresh Start or the Devil You Know? Examining Relationships Between Release Location Choices, Community Experiences, and Recidivism for High-Risk Parolees." International Journal of Offender Therapy and Comparative Criminology 64, no. 6-7 (September 20, 2019): 635–53. http://dx.doi.org/10.1177/0306624x19877589.

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This study investigated the effects of residential relocation in a sample of 282 high-risk male offenders paroled from New Zealand prisons. Initially we compared those returning to their old neighborhoods ( devil you know) and those released to a new location ( fresh start). This second category was then further divided: those released to a new location voluntarily ( fresh start-voluntary) versus those forced to start anew at the behest of the parole board that was releasing them ( fresh start-duress). All three categories were then compared on the quality of their community experiences and recidivism. Results indicated that parolees returning by choice to either their old neighborhood or a new location each were reconvicted in the first year after release at approximately the same rate; however, parolees relocating to a new area at the direction of the parole board (under duress) were reconvicted at a higher rate than those in either of the voluntary location categories. Significant group differences in ratings of community life quality were few, but there were some indications that compared with those choosing to return to a familiar location, making a voluntary residential relocation may lead to better parole experiences, particularly in terms of avoiding criminal peers, and that making a residential relocation under duress may lead to poorer parole experiences than for those returning to a familiar location.

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12

De Vos, Jonas, Kostas Mouratidis, Long Cheng, and Md Kamruzzaman. "Does a residential relocation enable satisfying travel?" Transportation Research Part A: Policy and Practice 153 (November 2021): 188–201. http://dx.doi.org/10.1016/j.tra.2021.09.006.

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13

Clark, W. A. V. "Book Review: Models of Intraurban Residential Relocation." Progress in Human Geography 9, no. 1 (March 1985): 127–29. http://dx.doi.org/10.1177/030913258500900110.

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14

Bordessa, Ronald. "REAL ESTATE SALESMEN AND RESIDENTIAL RELOCATION DECISIONS." Canadian Geographer / Le Géographe canadien 22, no. 4 (June 28, 2008): 334–39. http://dx.doi.org/10.1111/j.1541-0064.1978.tb01527.x.

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15

Buchanan, Nick, and Ross Barnett. "Peripheral Residential Relocation and Travel Pattern Change." Urban Policy and Research 24, no. 2 (June 2006): 217–36. http://dx.doi.org/10.1080/08111140600703824.

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16

Burnley, I. H., P. A. Murphy, and A. Jenner. "Selecting Suburbia: Residential Relocation to Outer Sydney." Urban Studies 34, no. 7 (June 1997): 1109–27. http://dx.doi.org/10.1080/0042098975754.

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17

Alshuwaikhat, Habib M., and Said Alkhars. "Residential relocation in a transitional urban environment." Habitat International 17, no. 3 (January 1993): 137–47. http://dx.doi.org/10.1016/0197-3975(93)90022-5.

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18

Lim, Jaewon, and Jae Hong Kim. "Joint Determination of Residential Relocation and Commuting: A Forecasting Experiment for Sustainable Land Use and Transportation Planning." Sustainability 11, no. 1 (January 1, 2019): 182. http://dx.doi.org/10.3390/su11010182.

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This article applies matrix forecasting methods to the investigation of residential relocation and commuting patterns that are highly interconnected, but often analyzed separately. More specifically, using recent inter-county migration and commuting pattern data for the three largest metropolitan areas in California, it examines how residential relocation and commuting are associated in the regions and whether a unified framework—in which household relocation and commuting flow matrices are jointly determined—can improve the forecasting performance. The relocation–commuting association is found to differ substantially by region, suggesting the importance of region-specific factors in shaping the interrelationship. Joint forecasting, however, can attain a higher accuracy compared to the two separate projections, although the forecasting performance varies based on the method employed.

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Abdul Fattah, Hamizah, and Nurwati Badarulzaman. "RESIDENTIAL PREFERENCES IN RESIDENTIAL LOCATION CHOICE." Malaysian Journal of Sustainable Environment 5, no. 2 (December 31, 2018): 41. http://dx.doi.org/10.24191/myse.v5i2.5616.

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Residential mobility attempts to address problems on households' life adjustments or the mismatch between residents' present needs and housing consumption. The desired preferences of each household may be complex to determine, but the trends or preferences in a residential area can be captured. Residential location choice stimulates residential mobility decision on the selection of a particular area. This study aims to identify residential preferences on relocation using a selected sample of 323 households in Penang who intend to move in the near future. Results show that residents prefer to move to other states than Penang. Therefore, determining residential preferences is necessary to develop corresponding housing policies.

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20

Salvo, Grazia, Bonnie M. Lashewicz, Patricia K. Doyle-Baker, and Gavin R. McCormack. "A Mixed Methods Study on the Barriers and Facilitators of Physical Activity Associated with Residential Relocation." Journal of Environmental and Public Health 2018 (November 1, 2018): 1–12. http://dx.doi.org/10.1155/2018/1094812.

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Despite evidence suggesting that neighbourhood characteristics are associated with physical activity, very few mixed methods studies investigate how relocating neighbourhood, and subsequent changes in the built environment, influences physical activity. This sequential mixed methods study estimates associations between changes in overall physical activity and transportation walking and cycling and changes in objectively assessed neighbourhood walkability (quantitative phase) and describes perceived barriers and facilitators to physical activity following residential relocation (qualitative phase). During the quantitative phase, self-reported changes in transportation walking, transportation cycling, and overall physical activity following residential relocation were measured using a 5-point scale: (1) a lot less now, (2) a little less now, (3) about the same, (4) a little more now, and (5) a lot more now. Walkability improvers reported a slight increase in transportation walking (mean = 3.29, standard deviation (SD) = 0.87), while walkability decliners reported little or no perceived change in their transportation walking after relocation (mean = 2.96, SD = 1.12). This difference approached statistical significance (p=0.053). Furthermore, walkability decliners reported a slight decrease in transportation cycling (mean = 2.69, SD = 0.96), while walkability improvers reported little or no perceived change in their transportation cycling after relocation (mean = 3.02, SD = 0.84). This difference was statistically significant (p<0.05). Change in walkability resulting from relocation was not significantly associated with perceived change in overall physical activity. Our qualitative findings suggest that moving to a neighbourhood with safe paths connecting to nearby destinations can facilitate transportation walking and cycling. Some participants describe adjusting their leisure physical activity to compensate for changes in transportation walking and cycling. Strong contributors to neighbourhood leisure physical activity included the presence of aesthetic features and availability of recreational opportunities that allow for the creation of social connections with community and family.

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Yao, Mingzhu, and Donggen Wang. "Modeling household relocation choice: An egalitarian bargaining approach and a comparative study." Journal of Transport and Land Use 14, no. 1 (June 20, 2021): 625–45. http://dx.doi.org/10.5198/jtlu.2021.1733.

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Accompanying the rapid urban expansion and fast population growth is a progressive trend of residential relocation in developing countries, which necessitates a thorough understanding of households’ relocation decisions. Previous studies generally treated home relocation as an individual or unitary household decision, ignoring the interactive and collaborative decision-making mechanisms that household members may adopt when making group decisions. In view of this research gap, this study examines the feasibility of applying the egalitarian bargaining approach to simulating households’ group decisions concerning residential relocation and further compares its performance with the Nash bargaining and the conventional utilitarian approach. Moreover, the study experiments with the possibility of accommodating three possible group decision-making mechanisms using the latent class modeling framework. The proposed modeling approaches are applied to an empirical case study in Beijing. Results show that models based on the egalitarian and Nash bargaining principles have better model fits than the utilitarian principle, suggesting the importance of considering egalitarianism when modeling household members’ collaborative choice on residential relocation. Moreover, the model based on Nash bargaining has the best model fit, indicating that instead of merely seeking egalitarianism or utilitarianism, household members are more likely to strike a balance between fairness and efficiency.

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Lestari, Rosdiana Puji. "DEVELOPMENT OF RELOCATION STRATEGIES REGARDING ERUPTION HAZARD IN MOUNT MERAPI." Journal of the Civil Engineering Forum 1, no. 3 (September 23, 2015): 107. http://dx.doi.org/10.22146/jcef.24021.

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The research was conducted to answer a questions: 1) how the relocation of the current strategy was carried out by the government 2) the problems that arise in the relocation which has yet to be resolved, 3) how the good concept of relocation so that these problems can be minimized. The research methodology used in this study combined quantitative and qualitative methods. Qualitative methods are used to explain the empirical facts that exist in each of these conditions in the relocation settlements. SWOT analysis is used to provide an overview of the strengths, weaknesses, opportunities and threats in the relocation of victims of Merapi. Information, facts and issues that arise in the study will be described, explained and analyzed primarily for the impact of residential relocation on social and economic life of the community. Relocation concept of the economic aspects of community empowerment efforts should be made related to community economic recovery after a change in livelihood. In addition, the potential of community mapping needs to be done by the government to be optimized and developed. From the aspect of government settlements seek to transfer ownership of land in the new settlement which may be the property of the citizens so that citizens obtain legal certainty while occupying the new settlement. The social aspects of the development potential of relocating residents and making it as a tourist village, residents need to support that relocation is no longer a newcomer, they have the same rights and obligations with citizens of another.

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Chi, Guangqing, and Jamie Boydstun. "Are Gasoline Prices a Factor in Residential Relocation Decisions? Preliminary Findings from the American Housing Survey, 1996–2008." Journal of Planning Education and Research 37, no. 3 (August 1, 2016): 334–46. http://dx.doi.org/10.1177/0739456x16657159.

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Residential relocation choice is affected by numerous factors, but gasoline prices as a potential factor have not been investigated. This study examines gasoline price changes and residential relocation choice using 1996–2008 American Housing Survey data. We found higher gasoline prices are associated with a higher percentage of movers choosing locations closer to workplaces. The findings have implications for addressing the impacts of volatile gasoline prices on land use planning and policies; resilient “smart cities or communities” are one possible solution.

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Desmond, Matthew, Carl Gershenson, and Barbara Kiviat. "Forced Relocation and Residential Instability among Urban Renters." Social Service Review 89, no. 2 (June 2015): 227–62. http://dx.doi.org/10.1086/681091.

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Wu, Fulong. "Intraurban Residential Relocation in Shanghai: Modes and Stratification." Environment and Planning A: Economy and Space 36, no. 1 (January 2004): 7–25. http://dx.doi.org/10.1068/a35177.

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Mulyadi, Mulyadi, and Arif Rahman Hakim. "Economic Speculative Motives in Selling Relocation Houses and the Provision of Assets for Urban Settlements." GATR Global Journal of Business Social Sciences Review 5, no. 2 (April 20, 2017): 16–23. http://dx.doi.org/10.35609/gjbssr.2017.5.2(3).

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Objective - This research aims to analyze the impact of residential relocation to the change in social and economic conditions of the beneficiary. This change is then used to analyze whether it is related to the decision for selling, or putting out to lease, the relocation house. Methodology/Technique - Primary data is collected from 68 samples which are chosen by an area sampling method. The focus of the sample is on houses which are built between 2008 and 2010. The variables applied cover perception about the state of the relocation house, perceptions of change in social and economic conditions, perceptions of housing characteristics and perceptions of the existence of another residential house. This research uses a mixed method for analyzing and interpreting the results. A binary response model is used for quantitative analysis. Findings - The results shows that there is no significant change in the social and economic conditions of the beneficiary. The logistics model indicates there is no direct correlation between perceptions of the change in social economic conditions to the decision for selling or renting a relocation house. Novelty - The study looks at decisions for selling or renting s relocation house. Type of Paper - Empirical Keywords: Relocation; Speculative Motive on Housing; Binary Respond Model.

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Kleinhans, Reinout, and Ade Kearns. "Neighbourhood Restructuring and Residential Relocation: Towards a Balanced Perspective on Relocation Processes and Outcomes." Housing Studies 28, no. 2 (March 2013): 163–76. http://dx.doi.org/10.1080/02673037.2013.768001.

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Bivoltsis, Alexia, Gina Trapp, Matthew Knuiman, Paula Hooper, and Gina Leslie Ambrosini. "The influence of the local food environment on diet following residential relocation: longitudinal results from RESIDential Environments (RESIDE)." Public Health Nutrition 23, no. 12 (May 7, 2020): 2132–44. http://dx.doi.org/10.1017/s1368980019005111.

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AbstractObjective:To examine the associations of changes in the local food environment, individual behaviours and perceptions with changes in dietary intake, following relocation from an established neighbourhood to a new residential development.Design:Spatial food environment exposure measures were generated relative to each participant’s home address using the locations of food outlets at baseline (before moving house) and follow-up (1–2 years after relocation). Self-reported data on socio-demographics, self-selection, usual dietary intake, individual behaviours and perceptions of the local food environment were sourced from the RESIDential Environments (RESIDE) Project. Changes in spatial exposure measures, individual behaviours and perceptions with changes in dietary outcomes were examined using mixed linear models.Setting:Perth, Western Australia, 2003–2007.Participants:Adults (n 1200) from the RESIDE Project.Results:Moving to a new residential development with more convenience stores and café restaurants around the home was significantly associated with an increase in unhealthy food intake (β = 0·049, 95 % CI 0·010, 0·089; β = 0·020, 95 % CI 0·007, 0·033) and was partially mediated by individual behaviours and perceptions. A greater percentage of healthy food outlets around the home following relocation was significantly associated with an increase in healthy food (β = 0·003, 95 % CI 0·001, 0·005) and fruit/vegetable intake (β = 0·002, 95 % CI 0·001, 0·004).Conclusions:Policy and planning may influence dietary intakes by restricting the number of convenience stores and other unhealthy food outlets and increasing the relative percentage of healthy food outlets.

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Nakamichi, Kumiko, Kosuke Kiriyama, Tianzi Lu, and Shinya Hanaoka. "A study on life stage changes in residential relocation by residential zone types." Journal of the City Planning Institute of Japan 55, no. 3 (October 25, 2020): 1241–48. http://dx.doi.org/10.11361/journalcpij.55.1241.

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Ding, Ding, Binh Nguyen, Vincent Learnihan, Adrian E. Bauman, Rachel Davey, Bin Jalaludin, and Klaus Gebel. "Moving to an active lifestyle? A systematic review of the effects of residential relocation on walking, physical activity and travel behaviour." British Journal of Sports Medicine 52, no. 12 (May 31, 2018): 789–99. http://dx.doi.org/10.1136/bjsports-2017-098833.

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ObjectiveTo synthesise the literature on the effects of neighbourhood environmental change through residential relocation on physical activity, walking and travel behaviour.DesignSystematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO registration number CRD42017077681).Data sourcesElectronic databases for peer-reviewed and grey literature were systematically searched to March 2017, followed by forward and backward citation tracking.Eligibility criteriaA study was eligible for inclusion if it (1) measured changes in neighbourhood built environment attributes as a result of residential relocation (either prospectively or retrospectively); (2) included a measure of physical activity, walking, cycling or travel modal change as an outcome; (3) was quantitative and (4) included an English abstract or summary.ResultsA total of 23 studies was included in the review. Among the eight retrospective longitudinal studies, there was good evidence for the relationship between relocation and walking (consistency score (CS)>90%). For the 15 prospective longitudinal studies, the evidence for the effects of environmental change/relocation on physical activity or walking was weak to moderate (CS mostly <45%), even weaker for effects on other outcomes, including physical activity, cycling, public transport use and driving. Results from risk of bias analyses support the robustness of the findings.ConclusionThe results are encouraging for the retrospective longitudinal relocation studies, but weaker evidence exists for the methodologically stronger prospective longitudinal relocation studies. The evidence base is currently limited, and continued longitudinal research should extend the plethora of cross-sectional studies to build higher-quality evidence.

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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 (August 23, 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 ordinary least squares regression and decision tree regression. The results of this study showed that a decision tree model can be more advantageous than ordinary least squares regression in terms of explanatory power and estimation of moving distance. A large number of residential movements are mainly related to the accessibility to employment markets and some household characteristics. The shortest movements occur when households with two or more members move into densely populated districts. In contrast, job-based residential movements are relatively farther. Furthermore, we derived knowledge on residential relocation distance, which can provide significant information for the urban management of metropolitan residential districts and the construction of reasonable housing policies.

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Li, Si-ming, and Sanqin Mao. "Exploring residential mobility in Chinese cities: An empirical analysis of Guangzhou." Urban Studies 54, no. 16 (December 6, 2016): 3718–37. http://dx.doi.org/10.1177/0042098016679774.

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In this article we aim to extend the literature on residential decisions and relocation in Chinese cities by explicitly incorporating cohort or generation differences in an event-history analysis of residential mobility in the City of Guangzhou over the period 2000–2012, using data from a survey conducted at the end of 2012. The results reveal not only substantially higher mobility propensities for young adults than middle-aged individuals and senior citizens, but significant differential effects of major determinants such as hukou, educational attainment, membership of the Chinese Communist Party and birth of a child and child rearing, on housing consumption and residential relocation across age cohorts. We argue that such differences in mobility behaviour are attributable, to a significant extent, to the vastly different life experiences of and housing opportunities available to different age cohorts.

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Kitrinou, Eleni. "Development of a behavioural framework for analyzing employment mobility decisions in island areas: the case of the Aegean Islands, Greece." Island Studies Journal 9, no. 2 (2014): 307–26. http://dx.doi.org/10.24043/isj.308.

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This paper proposes a theoretical framework to model employment mobility in island areas. It aims at identifying the critical factors affecting the decision of the employees to relocate their workplace to an island area, given a possible residential relocation. Emphasis is given to the role of transport and telecommunications systems on the region’s connectivity and accessibility. Discrete choice models are developed, using both observed and latent variables for the workplace relocation decision to the Aegean island area in Greece. Data was collected in the year 2012 from 518 Greek employees. Findings indicate the importance of the role of transport and telecommunications systems for employment mobility in island areas. The estimated choice models identified profiles of the employees who are prone to: a) keep their current workplace; b) relocate their workplace to the island area; c) change occupation after residential relocation. Finally, the sample enumeration method integrates the models’ results across all Greek employees.

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Clark, J. Milton, John Bing-Canar, Steve Renninger, Ralph Dollhopf, Jason El-Zein, Dave Star, Dea Zimmerman, et al. "Methyl parathion in residential properties: relocation and decontamination methodology." Environmental Health Perspectives 110, suppl 6 (December 2002): 1061–70. http://dx.doi.org/10.1289/ehp.02110s61061.

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SOMMER, D., T. BRAVENDER, and V. HOGAN. "Residential relocation and risk of attempted suicide in adolescents." Journal of Adolescent Health 34, no. 2 (February 2004): 115. http://dx.doi.org/10.1016/s1054-139x(03)00480-4.

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De Vos, Jonas, Dick Ettema, and Frank Witlox. "Changing travel behaviour and attitudes following a residential relocation." Journal of Transport Geography 73 (December 2018): 131–47. http://dx.doi.org/10.1016/j.jtrangeo.2018.10.013.

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Fernandez, Albert M., Timothy R. Rice, and Stephen G. Post. "We should address residential relocation to improve patient care." Journal of Paediatrics and Child Health 56, no. 10 (October 2020): 1496–99. http://dx.doi.org/10.1111/jpc.15120.

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Nijkamp, Peter, Leo Van Wissen, and Annemarie Rima. "A household life cycle model for residential relocation behaviour." Socio-Economic Planning Sciences 27, no. 1 (March 1993): 35–53. http://dx.doi.org/10.1016/0038-0121(93)90027-g.

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Khoerunisa, Ira, Mirza Dikari Kusrini, and Ani Mardiasturi. "DIVERSITY OF SNAKE RESCUED FROM RESIDENTIAL AREAS IN GREATER JAKARTA METROPOLITAN AREA, INDONESIA." Media Konservasi 26, no. 3 (January 17, 2022): 231–38. http://dx.doi.org/10.29244/medkon.26.3.231-238.

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Development and habitat loss in Greater Jakarta Metropolitan Area affected snakes and forced them to adapt in urban areas. Snakes in residential areas might increase encounter rate with humans which lead to human-snake conflict. The objectives of this research were to identify the diversity of snakes in residential areas based on rescue effort and to documents effort of those organizations on how to mitigate human-snake conflict through snake relocation. From 2015-2019, 37 snake species were reported found around residential areas in Jakarta Metropolitan Area. Javan spitting cobra Naja sputatrix and reticulated python Malayopython reticulatus are the most encountered snakes in residential areas. Jakarta has the highest total encounter of snakes compared to other area but Bogor has the highest diversity of snake species. Snake found in residential areas are sometimes “rescued” by snake reptile enthusiasts who formed a group. Most of these group does not have standard operating procedure when rescuing snake. Human-snake conflict can be mitigated by relocation of snakes, education, and translocation, although the impact of translocation should be evaluated further. Key words: Jakarta Metropolitan Area, human-snake conflict, Urban area, snake rescue

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Kusumah, Hendra, and Meditya Wasesa. "Unraveling the Most Influential Determinants of Residential Segregation in Jakarta: A Spatial Agent-Based Modeling and Simulation Approach." Systems 11, no. 1 (January 2, 2023): 20. http://dx.doi.org/10.3390/systems11010020.

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This study involves the analysis of the residential segregation patterns in Jakarta, Indonesia, one of the largest global metropolitan cities. Our objective is to determine whether similarities in religion or socioeconomic status are more dominant in shaping residential segregation patterns in Jakarta. To do so, we extended Schelling’s segregation agent-based model incorporating the random discrete utility choice approach to simulate the relocation decisions of the inhabitants. Utilizing actual census data from the 2010–2013 time period and the Jakarta GIS map, we simulated the relocation movements of the inhabitants at the subdistrict level. We set the inhabitants’ socioeconomic and religious similarities as the independent variables and the housing constraints as the moderating variable. The segregation parameters of the inhabitants (i.e., dissimilarity and Simpson indexes) and the spatial patterns of residential segregation (i.e., Moran index and segregation maps) were set as the dependent variables. Additionally, we further validated the simulation outcomes for various scenarios and contrasted them with their actual empirical values. This study concludes that religious similarity is more dominant than socioeconomic status similarity in shaping residential segregation patterns in Jakarta.

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Su, Lingling, and Suhong Zhou. "Long-Term Residential Environment Exposure and Subjective Wellbeing in Later Life in Guangzhou, China: Moderated by Residential Mobility History." International Journal of Environmental Research and Public Health 19, no. 20 (October 12, 2022): 13081. http://dx.doi.org/10.3390/ijerph192013081.

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With rapid global urbanization, the importance of understanding relationships between the changing environment and wellbeing is being increasingly recognized. However, there is still a lack of understanding of how long-term residential environment exposure affects subjective wellbeing under the dual changes of geographical environment and residential location. Based on a survey of the elderly (people over 60 years old) in Guangzhou, China, this study analyzes the effect of long-term residential environment exposure over 25 years on subjective wellbeing in later life in the context of residential mobility. The study found that subjective wellbeing in later life is not only related to the current residential environment but also the cumulative exposure to the long-term residential environment. The relationship between long-term residential environment exposure and subjective wellbeing in later life tends to be stable with the increase of cumulative time, especially the cumulative years over 15 years. Considering the importance of residential mobility history, the study further analyzes the moderating effects of relocation frequency and residential location. Relocation frequency can strengthen the positive effect of residential environment on subjective wellbeing and weaken the negative effect of residential environment on subjective wellbeing, which confirms the existence of residential self-selection. In addition, the direction of effect of residential environment on residents who move between living in the urban center and the periphery is consistent with that of residents who have always lived in the urban center, while the effects of the residential environment on residents who have always lived in the urban center and those who have always lived in the urban periphery are related in different directions. The conclusion of this study can provide guidance for individuals’ residential choice and governance of the urban environment to improve wellbeing.

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Rosenfeld, Orna. "Governance of Relocation: An Examination of Residential Relocation Processes in Housing Market Renewal Areas in England." Housing Studies 28, no. 2 (March 2013): 338–62. http://dx.doi.org/10.1080/02673037.2013.767888.

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Puppateravanit, Chonnipa, Kazushi Sano, and Kiichiro Hatoyama. "Attitude-Based Segmentation of Residential Self-Selection and Travel Behavior Changes Affected by COVID-19." Future Transportation 2, no. 2 (June 1, 2022): 541–66. http://dx.doi.org/10.3390/futuretransp2020030.

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This study evaluated the effects of COVID-19 on attitudes toward residential associated with travel behavior on decisions regarding future relocation. Chi-square automatic interaction detection was used to generate tree and classification segments to investigate the various segmentations of travelers and residents around mass transit stations. The decision tree revealed that the most influential variables were the number of transport card ownerships, walking distance to the nearest mass station, number of households, type of resident, property ownership, travel cost, and trip frequency. During the COVID-19 pandemic, people have concentrated on reducing travel time, reducing the number of transfers, and decreasing unnecessary trips. Consequently, people who live near mass transit stations less than 400 and 400–1000 m away prefer to live in residential and rural areas in the future. Structural Equation Modeling was used to confirm the relationship between attitudes in normal and pandemic situations. According to the findings, attitudes toward residential accessibility of travel modes were a significant determinant of attitudes toward residential location areas. This research demonstrates travelers’ and residents’ uncertain decision-making regarding relocation, allowing policymakers and transport authorities to better understand their behavior to improve transportation services.

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Handayani, I. Gusti Ayu Ketut Rachmi. "Doctrine of social functions of property for human flourishing (study of squatters residential relocation policy in catchment area Bengawan Solo River)." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 10 (January 15, 2018): 451–58. http://dx.doi.org/10.18844/prosoc.v4i10.3116.

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The purpose of this research was to confirm the doctrine of the social function of property as an instrument for realising humans flourishing in the case of Surakarta City Government policy to relocate squatters in the catchment area of the Bengawan Solo River. This normative legal research used a conceptual approach. To obtain answers to the problems, the research used deductive syllogism. The major premise is used as the doctrine of the social function of property, the theory of justice and the principle of trust and a reasonable expectation, while the minor premise is the policy of the Government of Surakarta relocating squatters in the catchment area of the Solo River. Using the resulting conclusions, confirmation of doctrinal interpretation of the social function of property as an instrument for realising human flourishing is done. The conclusions of this study is the social function of property requires the Authority of Central Region Bengawan Solo River to manage riparian appropriate allocation function as flood control. Implementation of this obligation is to realise the basic right on healthy living environment. Based on the doctrine of the social function of property, then the omission and legalisation of illegal occupancy in the Bengawan Solo River catchment area create liability for the Government of Surakarta, the Authority of Central River Region Solo, and Land National Agency, to finance the relocation of squatters in the catchment area of the Solo River. Squatters relocation is intended for human fulfillment flourishing. Keywords: Social function of property, human flourishing, relocation of squatters.

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Wang, Peizhen, Ligang Lyu, and Jiangang Xu. "Factors Influencing Rural Households’ Decision-Making Behavior on Residential Relocation: Willingness and Destination." Land 10, no. 12 (November 23, 2021): 1285. http://dx.doi.org/10.3390/land10121285.

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All the traditional models of centralized residence based on “building a new socialist countryside” and “maintaining a balance between the increase and the decrease” are top-down in nature and require farmers to make responses and readjustment to all possible policies and changes. Therefore, it’s important to understand farmers’ preferences and take their willingness and needs into account when designing and implementing the relative planning programs of centralized residence. In this paper, with the numerical value 10 as the criterion of Events Per Variable (EPV) and Variance Inflation Factor (VIF), four different types of binary logistic regression were respectively applied to analyze factors that may influence farmer households’ relocation willingness and relocation destination in the following five aspects: Individual characteristics, household characteristics, housing characteristics, farmland characteristics, and implementation environment of centralized residence. As indicated in the results, people would show more willingness to relocate when they were younger, had higher household income, lived in an older building, possessed a bigger building area, owned farmland with higher quality, or lived in an environment with a higher infrastructure match rate. In addition, household income was a common factor influencing households’ choice between nearby relocation sites (NRS) and urban areas as their relocation destinations. The building area and occupancy rate negatively affected households’ choice of NRS, while building age negatively affected that of urban areas. Based on these influencing factors, some policy suggestions are proposed in this paper in terms of job creation, implementation of zoning and classification strategies, improvement of the quality of land transfer services, and reconstruction of the rural landscapes.

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Kirschenbaum, Alan. "Residential Ambiguity and Relocation Decisions: Population and Areas at Risk." International Journal of Mass Emergencies & Disasters 14, no. 1 (March 1996): 79–96. http://dx.doi.org/10.1177/028072709601400105.

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Residential relocation is one means of coping with living in a perceived high risk area. An analysis of a sample of household members who live in such an area showed the extent to which fear of a recurring emergency event affects attitudes toward seeking an alternative safer area to reside. Intent to relocate is linked to specific sub-groups of families on the basis of how they comprehend the risks of remaining (educational level) and extent of possible economic damage (level of assets). A series of independent variables reflecting affective-emotive behavior during the disaster. Post-crisis trauma related attitudes and pre/post disaster neighborhood bonds were likewise linked with an intention to move to a safer neighborhood. A regression model focused the analysis on the degree to which concern of psychological damage to children played a decisive role in determining a relocation decision.

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Habib, Muhammad Ahsanul, and Eric J. Miller. "Reference-Dependent Residential Location Choice Model within a Relocation Context." Transportation Research Record: Journal of the Transportation Research Board 2133, no. 1 (January 2009): 92–99. http://dx.doi.org/10.3141/2133-10.

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Matsunawa, Mitsuru, and Akira Fujita. "Study on the Cost-Benefit Analysis of Residential Relocation Measures." Journal of the City Planning Institute of Japan 52, no. 3 (October 25, 2017): 467–74. http://dx.doi.org/10.11361/journalcpij.52.467.

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Kortum, Katherine, Rajesh Paleti, Chandra R. Bhat, and Ram M. Pendyala. "Joint Model of Residential Relocation Choice and Underlying Causal Factors." Transportation Research Record: Journal of the Transportation Research Board 2303, no. 1 (January 2012): 28–37. http://dx.doi.org/10.3141/2303-04.

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Danielsen, Bartley R., David M. Harrison, and Jing Zhao. "It Makes a Village: Residential Relocation after Charter School Admission." Real Estate Economics 42, no. 4 (November 27, 2014): 1008–41. http://dx.doi.org/10.1111/1540-6229.12074.

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