Journal articles on the topic 'Residential'

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1

Liu, Angela. "Residential Utility Management." Journal of Clean Energy Technologies 3, no. 1 (2015): 78–82. http://dx.doi.org/10.7763/jocet.2015.v3.173.

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2

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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3

Kamruzzaman, M., Simon Washington, Douglas Baker, and Gavin Turrell. "Does Residential Dissonance Affect Residential Mobility?" Transportation Research Record: Journal of the Transportation Research Board 2344, no. 1 (January 2013): 59–67. http://dx.doi.org/10.3141/2344-07.

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4

P. Tonkovic, Michael, and Syed Azfar Hussain. "Residential and non-residential electricity dynamics." Energy Economics 64 (May 2017): 262–71. http://dx.doi.org/10.1016/j.eneco.2017.04.003.

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5

Haristianti, Vika, and Wiwik Dwi Pratiwi. "Transformasi Spasial Hunian Pada Eks-Backpacker Enclaves Studi Kasus: Jalan Jaksa, Jakarta Pusat." Review of Urbanism and Architectural Studies 18, no. 1 (June 30, 2020): 52–63. http://dx.doi.org/10.21776/ub.ruas.2020.018.01.5.

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This study aims to discover the extent of spatial transformation in residential areas on Jalan Jaksa, known as the ex-backpacker enclaves due to the concept of supply and demand. Spatial function, building facades, and corridors in residentials are the assessed variables. This study uses a qualitative method. Data collection is done by field observations, interviews, and literature review. The sampling method is using a non-random type or probability sample. The results of the analysis showed that from 26 samples there were 12 building/ residential samples (46.1%) that underwent installation, meaning that the building characteristics were adaptive, five buildings/ residential samples (19.2%) had insertion, meaning that the building was considered to be quite adaptive, and nine buildings/ residential samples (34 %) experiencing intervention, which means the building is not adaptive. In addition, the most changing category is the transformation in housing into multi-story buildings, lodging, and mixed-use buildings.
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6

Stratford, Jean Slemmons, Juri Stratford, and John Richardson. "Phonedisc USA national residential set (western residential edition and eastern residential edition)." Government Publications Review 20, no. 1 (January 1993): 87–89. http://dx.doi.org/10.1016/0277-9390(93)90059-x.

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7

Boterman, Willem R. "The role of geography in school segregation in the free parental choice context of Dutch cities." Urban Studies 56, no. 15 (April 1, 2019): 3074–94. http://dx.doi.org/10.1177/0042098019832201.

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School segregation and residential segregation are generally highly correlated. Cities in the Netherlands are considered to be moderately segregated residentially, while the educational landscape is choice-based but publicly funded. This article analyses how school and residential segregation are interrelated in the educational landscape of Dutch cities. Drawing on individual register data about all primary school pupils in the 10 largest cities, it demonstrates that segregation by ethnicity and social class is generally high, but that the patterns differ strongly between cities. By hypothetically allocating children to the nearest schools, this article demonstrates that even in a highly choice-based school context school segregation is to a large extent the effect of residential patterns. The role of residential trends, notably gentrification, is therefore crucial for understanding the differences in current trends of school segregation across Dutch urban contexts.
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8

Sahaidak, V. V. "Residential and Non-residential Property: Tax Analysis." State and Regions. Series: Law 3 (2019): 204–8. http://dx.doi.org/10.32840/1813-338x-2019-3-33.

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9

Coulson, N. Edward, and Myeong-Soo Kim. "Residential Investment, Non-residential Investment and GDP." Real Estate Economics 28, no. 2 (June 2000): 233–47. http://dx.doi.org/10.1111/1540-6229.00800.

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10

Ge, Jian, and Kazunori Hokao. "Research on residential lifestyles in Japanese cities from the viewpoints of residential preference, residential choice and residential satisfaction." Landscape and Urban Planning 78, no. 3 (November 2006): 165–78. http://dx.doi.org/10.1016/j.landurbplan.2005.07.004.

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11

Trojanek, Radosław. "Cyclical Behaviour of Residential Markets." JOURNAL OF INTERNATIONAL STUDIES 3, no. 1 (May 20, 2010): 28–35. http://dx.doi.org/10.14254/2071-8330.2010/3-1/3.

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12

Strait, John Byron, and Gang Gong. "An Evolving Residential Landscape in Post-Katrina New Orleans." International Journal of Applied Geospatial Research 3, no. 4 (October 2012): 1–19. http://dx.doi.org/10.4018/jagr.2012100101.

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Residential landscapes across the United States have been significantly altered in recent years by the increased racial and ethnic diversity evident within urban areas. In New Orleans, Louisiana, residential landscapes were particularly impacted by the disruptive influences associated with Hurricane Katrina, a storm that ultimately transformed the demographic make-up of this urban area. This research investigates the impacts that increased diversity has had on the levels of residential segregation among racial and/or ethnic groups in New Orleans from 2000 to 2010. Empirical analysis entailed the measurement of two dimensions of segregation evident among Non-Hispanic whites, African-Americans, Hispanics and Asians. Measures of residential exposure were decomposed in order to investigate the relative impacts of metropolitan-wide compositional change and intra-urban redistributive change on segregation among the four groups. During the 2000s, New Orleans exhibited very modest forms of residential integration. Results suggest that Non-Hispanic whites, Asians, and Hispanics exhibited some degree of “ethnic (or racial) self-selectivity” that functioned to concentrate these groups residentially, although these forces were partially overwhelmed by other forces operating at both the neighborhood and metropolitan scales. The evidence further suggests that the residential experiences among minorities were strongly impacted by the redistributive behavior of whites.
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13

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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14

Bradbury, Andrew P. "Late Middle Archaic settlement systems in West-Central Illinois." North American Archaeologist 38, no. 1 (December 4, 2016): 24–62. http://dx.doi.org/10.1177/0197693116681355.

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Data from a sample of late Middle Archaic sites in west-central Illinois are examined in light of Binford’s forager–collector model. Quantitative methods (correspondence and diversity analyses) are applied to the lithic data from the sites. It is suggested that a mix of mobility strategies was employed in the region during late Middle Archaic. Large, possibly multiseason, valley located residential sites were occupied during the warm season. People occupying such sites were logistically mobile and employed logistical sites to supply some of the resources. In contrast, smaller, upland residential sites were occupied by few people for shorter durations during the cold season. People were residentially mobile while occupying the upland residential sites. The methods demonstrated in the paper are applicable to other regions and time periods.
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15

Gibbs, Norah. "RESIDENTIAL TREATMENT." Developmental Medicine & Child Neurology 5, no. 2 (November 12, 2008): 184–85. http://dx.doi.org/10.1111/j.1469-8749.1963.tb05023.x.

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16

Ames, David. "Residential care." Current Opinion in Psychiatry 5, no. 4 (August 1992): 575–79. http://dx.doi.org/10.1097/00001504-199208000-00020.

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17

Pellenbarg, Piet H., and Paul J. M. Van steen. "Residential Preference." Tijdschrift voor economische en sociale geografie 104, no. 3 (June 16, 2013): 393–96. http://dx.doi.org/10.1111/tesg.12037.

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18

Hess, Allegra. "Residential Treatment." Residential Treatment For Children & Youth 7, no. 4 (November 1990): 41–55. http://dx.doi.org/10.1300/j007v07n04_05.

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19

Morris, Tim, David Manley, and Clive E. Sabel. "Residential mobility." Progress in Human Geography 42, no. 1 (May 19, 2016): 112–33. http://dx.doi.org/10.1177/0309132516649454.

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Research into health disparities has long recognized the importance of residential mobility as a crucial factor in determining health outcomes. However, a lack of connectivity between the health and mobility literatures has led to a stagnation of theory and application on the health side, which lacks the detail and temporal perspectives now seen as critical to understanding residential mobility decisions. Through a critical re-think of mobility processes with respect to health outcomes and an exploitation of longitudinal analytical techniques, we argue that health geographers have the potential to better understand and identify the relationship that residential mobility has with health.
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20

Barnes, Rosemary, Nina Josefowitz, and Ester Cole. "Residential Schools." Canadian Journal of School Psychology 21, no. 1-2 (December 2006): 18–32. http://dx.doi.org/10.1177/0829573506298751.

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21

Stovel, Katherine, and Marc Bolan. "Residential Trajectories." Sociological Methods & Research 32, no. 4 (May 2004): 559–98. http://dx.doi.org/10.1177/0049124103262683.

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22

Lieberman, Robert E. "Redefining Residential." Residential Treatment For Children & Youth 26, no. 4 (November 12, 2009): 223–25. http://dx.doi.org/10.1080/08865710903256213.

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23

Wilder, Madelyn. "Residential Quality." Journal of Housing For the Elderly 11, no. 1 (August 5, 1994): 99–119. http://dx.doi.org/10.1300/j081v11n01_08.

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24

Bullock, Roger. "Residential Care." Children & Society 6, no. 4 (December 18, 2007): 382–84. http://dx.doi.org/10.1111/j.1099-0860.1992.tb00402.x.

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25

Leventhal, Bennett L., and D. Patrick Zimmerman. "Residential treatment." Child and Adolescent Psychiatric Clinics of North America 13, no. 2 (April 2004): xv—xvii. http://dx.doi.org/10.1016/s1056-4993(03)00114-7.

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26

LEWIS, M. "Residential treatment." Child and Adolescent Psychiatric Clinics of North America 13, no. 2 (April 2004): xiii. http://dx.doi.org/10.1016/s1056-4993(04)00002-1.

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27

Lee, Barrett A., Stephen A. Matthews, John Iceland, and Glenn Firebaugh. "Residential Inequality." ANNALS of the American Academy of Political and Social Science 660, no. 1 (June 9, 2015): 8–16. http://dx.doi.org/10.1177/0002716215579832.

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28

Firebaugh, Glenn, John Iceland, Stephen A. Matthews, and Barrett A. Lee. "Residential Inequality." ANNALS of the American Academy of Political and Social Science 660, no. 1 (June 9, 2015): 360–66. http://dx.doi.org/10.1177/0002716215580060.

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29

Catt, Richard. "Residential squares." Structural Survey 13, no. 4 (December 1995): 16–20. http://dx.doi.org/10.1108/02630809510104858.

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30

Yilmaz, Cansu, Emre Selcuk, Gul Gunaydin, Banu Cingöz-Ulu, Alpay Filiztekin, and Oya Kent. "You Mean the World to Me: The Role of Residential Mobility in Centrality of Romantic Relationships." Social Psychological and Personality Science, December 30, 2021, 194855062110610. http://dx.doi.org/10.1177/19485506211061017.

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Integrating the suffocation model of marriage with research on residential mobility, the current studies examined for the first time whether long-term romantic relationships are more central for residentially mobile (vs. stable) individuals (total N across three studies = 5,366; age range = 18–95). In Study 1, individuals who moved away from their place of birth (vs. not) were more likely to first confide in their spouse over other network members on important matters. In Study 2, history of frequent residential moves was associated with greater importance ascribed to romantic partners in the attachment hierarchy. In Study 3, the slope of perceived partner responsiveness predicting eudaimonic well-being got steeper as residential mobility increased. By showing the role of residential mobility in romantic relationships, our findings highlight the importance of studying socioecological factors to gain a deeper understanding of how relationship processes unfold.
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31

"Residential Life." Higher Education Abstracts 56, no. 1 (January 2021): 46. http://dx.doi.org/10.1111/hea.33_12162.

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32

"Residential MapTrek." Case Medical Research, August 1, 2019. http://dx.doi.org/10.31525/ct1-nct04041869.

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33

"Residential homes." Nursing Standard 4, no. 40 (June 27, 1990): 5. http://dx.doi.org/10.7748/ns.4.40.5.s5.

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34

"Residential Life." Higher Education Abstracts 56, no. 2 (April 2021): 158. http://dx.doi.org/10.1111/hea.35_12166.

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35

"Residential Life." Higher Education Abstracts 56, no. 3 (July 2021): 259. http://dx.doi.org/10.1111/hea.30_12174.

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"Residential Life." Higher Education Abstracts 56, no. 4 (October 2021): 360. http://dx.doi.org/10.1111/hea.34_12178.

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37

"Residential Survey." Nursing Standard 2, no. 7 (November 14, 1987): 12. http://dx.doi.org/10.7748/ns.2.7.12.s27.

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38

"Residential care." Nursing Standard 5, no. 49 (August 28, 1991): 8. http://dx.doi.org/10.7748/ns.5.49.8.s12.

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39

"Residential care." Quality in Ageing and Older Adults 14, no. 1 (March 8, 2013). http://dx.doi.org/10.1108/qaoa.2013.55914aaa.003.

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40

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 1 (October 2001): 63. http://dx.doi.org/10.1111/j.2150-1092.2001.tb00300.x.

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41

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 2 (January 2002): 165–66. http://dx.doi.org/10.1111/j.2150-1092.2002.tb00345.x.

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42

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 3 (April 2002): 261–67. http://dx.doi.org/10.1111/j.2150-1092.2002.tb00389.x.

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43

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 4 (July 2002): 346. http://dx.doi.org/10.1111/j.2150-1092.2002.tb00430.x.

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44

"RESIDENTIAL LIFE." Higher Education Abstracts 38, no. 2 (January 2003): 164–65. http://dx.doi.org/10.1111/j.2150-1092.2003.tb00517.x.

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45

"RESIDENTIAL LIFE." Higher Education Abstracts 38, no. 3 (April 2003): 258–60. http://dx.doi.org/10.1111/j.2150-1092.2003.tb00559.x.

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46

"RESIDENTIAL LIFE." Higher Education Abstracts 39, no. 2 (January 2004): 154–57. http://dx.doi.org/10.1111/j.2150-1092.2004.tb00697.x.

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47

"RESIDENTIAL LIFE." Higher Education Abstracts 39, no. 3 (April 2004): 256. http://dx.doi.org/10.1111/j.2150-1092.2004.tb00739.x.

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48

"RESIDENTIAL LIFE." Higher Education Abstracts 40, no. 1 (October 2004): 66. http://dx.doi.org/10.1111/j.2150-1092.2004.tb00827.x.

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49

"RESIDENTIAL LIFE." Higher Education Abstracts 40, no. 2 (January 2005): 172–73. http://dx.doi.org/10.1111/j.2150-1092.2005.tb00874.x.

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50

"RESIDENTIAL LIFE." Higher Education Abstracts 40, no. 3 (April 2005): 264–65. http://dx.doi.org/10.1111/j.2150-1092.2005.tb00920.x.

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