• Title/Summary/Keyword: 거주지 이동 요인

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Longitudinal Perspectives of Residential Mobility in Urban Area (도시지역주민의 거주이동에 관한 연구)

  • 이인수;이시백
    • Korea journal of population studies
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    • v.14 no.2
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    • pp.78-87
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    • 1991
  • 본 연구는 대도시의 인구이동률의 장기적 추세를 분석하기 위하여 시도되었다. 본 연구에서는 멕시코의 중소도시인 오하카(Oaxaca)에서 구역별로 추출된 633가구를 대상으로, 그들의 거주지 이동상황 및 이에 영향을 미치는 인구.사회학적 요인에 관한 설문을 실시하였다. 연구결과, 가족의 거주지 이동률은 결혼후 5년 이내가 년간 23.23 퍼센트로서 가장 높았는데, 이것은 결혼초기에 출산과 관련한 주거공간 요구의 급격한 증가가 주된 원인인 것으로 해석되었다. 또한 연대별로는 1960년대에 특히 많은 주거지 이동이 있었는데, 이는 이 시기의 범 세계적인 아기풍년(Baby Boom)에 따른 급격한 자녀수의 증가와 관련된 거주공간의 수요확대로 인한 현상으로 해석되었다.

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Characteristics of Immigration Path and Residential Location of Korean Immigrants in Los Angeles (미국 LA지역 한인 이주민의 정착경로 및 주거입지 특성)

  • Park, Wonseok
    • Journal of the Economic Geographical Society of Korea
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    • v.18 no.1
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    • pp.17-44
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    • 2015
  • This paper aims at elucidating the characteristics of immigration path and residential location, and analyzing the factors influencing housing ownership structure and preference of residential location factors of Korean immigrants in Los Angeles. The main results of this study are as follows. Firstly, immigration paths of Korean Immigrants are divided by spatial assimilation type and network of mainstream society oriented type. Secondly, according to the results of binomial logistic regression analysis, Korean town as a current residential location is selected by low-income class, aged migrants group, housing non-owner group and longer migration period group. Thirdly, migrants tend to retain detached housings in residential area of mainstream society while migration period go beyond 10 years and incomes exceed $60,000. Finally, according to ANOVA tests on the preferences of residential location factors. high-income and home owers groups more prefer location factors such as economics, natural environment, housing interior facilities, network of mainstream society.

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A Markov Chain Model for Population Distribution Prediction Considering Spatio-Temporal Characteristics by Migration Factors (이동요인별 시·공간적 인구이동 특성을 고려한 인구분포 예측: 마르코프 연쇄 모형을 활용하여)

  • Park, So Hyun;Lee, Keumsook
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.3
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    • pp.351-365
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    • 2019
  • This study aims to predict the changes in population distribution in Korea by considering spatio-temporal characteristics of major migration reasons. For the purpose, we analyze the spatio-temporal characteristics of each major migration reason(such as job, family, housing, and education) and estimate the transition probability, respectively. By appling Markov chain model processes with the ChapmanKolmogorov equation based on the transition probability, we predict the changes in the population distribution for the next six years. As the results, we found that there were differences of population changes by regions, while there were geographic movements into metropolitan areas and cities in general. The methodologies and the results presented in this study can be utilized for the provision of customized planning policies. In the long run, it can be used as a basis for planning and enforcing regionally tailored policies that strengthen inflow factors and improve outflow factors based on the trends of population inflow and outflow by region by movement factors as well as identify the patterns of population inflow and outflow in each region and predict future population volatility.

The Determinants of Change in Residential Size of Households in the Seoul Metropolitan Area: According to the Patterns of Residential Mobility (수도권 거주가구의 주거면적 변화 결정요인: 수도권 내 주거이동 방향에 따라서)

  • Jung, Suyoung
    • Journal of the Korean Regional Science Association
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    • v.37 no.3
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    • pp.19-36
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    • 2021
  • This study examined the determinants of change in residential size according to the patterns of residential mobility in the Seoul Metropolitan Area. Particularly, this study examined the upward and downward in residential size, which is emerging as an important factor in the era of increasing non-face-to-face environment. For the empirical analysis, I used 「2018 Korea Housing Survey」 and employed binary logistic regression model. The empirical analysis shows the change of residential size is statistically significant depending on the direction of geographic. In addition, there are differences in the determinants of change in residential size. When people move within Seoul, housing factors, accessibility, age of residents, and the number of household members can be the determinants. When people move from Seoul to Gyeonggi or Incheon, housing factors, safety, gender, and the number of household members work as determinants. On the other hand, when moving from Gyeonggi or Incheon to Seoul, whether it is studio or not, housing type, accessibility, the number of household members, and the disability of homeownership are the determinants. When moving within Gyeonggi or Incheon, housing factors, Accessibility to green areas, safety, age of resident, income, and the number of household members, are the determinants.

An Analysis of the Changes in the Housing Instability by the Residential Mobility of Low-Income Households (주거이동을 통한 주거 불안정성 변화에 관한 연구 -저소득층을 대상으로 하여-)

  • Noh, Seung-Chul;Lee, Hee-Yeon
    • Journal of the Economic Geographical Society of Korea
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    • v.12 no.4
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    • pp.507-520
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    • 2009
  • The purpose of this study is to analyze the changes in the housing instability of low-income households through their residential mobility. The concept of housing instability is measured by taking into consideration of housing types, number of moves, period of homelessness, and housing affordability index. The result of this study shows that housing instability of low-income households owned their homes is mainly caused from their old housing built in at least 1980, and that of tenant households is due to the heavy burden of rent-to-income ratio. By using multinominal logit model, the study finds that low-income tenant households are more likely to move upwards as they are man-headed, aged and relatively high-income if we categorize residential mobility into four types: upwards, equivalent, trade-off, and downwards migration. Considering that the share of homeowners moving downwards increases while the share of tenants moving upwards decreases as they reside increasingly nearby Seoul, the study finds that low-income households living in big cities are no better off to improve their residential instability for themselves than the low-incomes in local small and midium cities. Furthermore, both low-income owners and tenants are less likely to move downwards as the ratio of single-family housing in former residence increases. Such finding has a policy implication that government needs to maintain affordable single-family housing stock rather than supplying excessive unaffordable multi-family housing in order to enhance residential instability of low-incomes households.

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An Analysis of Factors Influencing the Dementia Patient Home Care Intention of Family Caregivers (치매가족의 치매대상자 재가돌봄의사에 대한 영향요인분석)

  • Cho, Bum-Hun;Lee, Dong-Young
    • The Journal of the Korea Contents Association
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    • v.16 no.2
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    • pp.320-331
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    • 2016
  • This study was conducted to find a practical implication regarding efficient and smooth service utilization including care burden reduction of family caregivers by empirically analyzing the factors influencing the dementia patient home care intention of family caregivers, based on Anderson's behavior model. For this study, the subjects and characteristics suitable for the study purpose were selected using the source data of "A Survey on the Dementia Recognition and Needs" targeting 26 cities and countries in Gyeonggi-do and then secondary analysis was conducted. This study targeted 539 dementia families, and based on Anderson's behavior model, variables related to predisposing factors, enabling factors and need factors were inserted, and hierarchical regression analysis was applied. The analysis result showed that at a significance level of 5%, the home care intention was high when family caregivers were not living in cities, they were spouses or children and their economic level was high as predisposing factors, and the dementia-related attitude was positive as a enabling factor, and the degree of dementia was mild and care burden was low as need factors. Moreover, need factors were relatively important variables among the three factors mentioned above. These findings demonstrate that for improving the home care intention, there is a need to construct a support strategy, which considers the degree of dementia and economic characteristics and develop diverse counseling and education programs for a positive attitude towards dementia and a differentiated strategy depending on regional and family characteristics.

Big Data Analysis of the Citizen's Needs regarding the Life-friendly Businesses in New City (신도시 생활밀접업종에 관한 시민 니즈 빅데이터 분석 연구)

  • Lee, Dongchul;Chang, Hye-Jung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.1
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    • pp.43-48
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    • 2019
  • The presence of shops necessary for everyday life is a factor that increases the satisfaction of residential environment. From the perspective of founders, establishing businesses with high needs of local residents is a factor that affects business success. In this paper, we try to find out the status of businesses closely related to everyday city life. And it analyzes whether the formation of these businesses is consistent with the initial consumer needs of the new city. The purpose of this paper is to derive meaningful results that both the business founder and consumer can win-win. The current status of the life-friendly businesses and the needs of citizens were analyzed in the S city. As a results of analysis, the needs for education appears strongly at the early stage of urban development. And it shows a characteristic of being weakened to some extent with the passage of time. On the other hand, the needs for food, which is the basic requirement of life, has a low starting and steadily increasing character.

A Study on Factors that Improve Waterfront Satisfaction: Targeting Residents of Apartment Houses in the Tokyo's Coastal Area (수변 만족도를 향상시키는 요인에 관한 연구: 도쿄 임해지역 집합주택 거주자를 대상으로)

  • Joohong Kim;Sekyung Oh
    • Land and Housing Review
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    • v.15 no.1
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    • pp.117-134
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    • 2024
  • This study examines the factors contributing to waterfront satisfaction among different generations, utilizing a survey on the use and perception of waterfront areas by residents of apartment houses in Tokyo's coastal region. The variables used in this study are developed through a review of existing literature, focusing on factors related to waterfront usage. Specifically, we select the proximity to the waterfront, duration of stay at the waterfront, and frequency of visits to the waterfront as key variables for investigation. In addition, the study further incorporates aspects related to waterfront recognition, such as the space, user behavior, and management status of the waterfront. Utilizing these variables, we carry out a correlation analysis to investigate the association between generational use and perception of the waterfront and their satisfaction with water-related experiences. The results identify three key factors to enhance waterfront satisfaction: First, to increase visits from both younger and older generations, improving pedestrian access to the waterfront is essential. Second, for middle-aged and older generations, creating waterfront areas closer to their residences can reduce travel distance and time, encouraging more frequent use. Third, maintaining clean and well-kept waterfront spaces is fundamental for all generations to enjoy relaxing experiences, thereby improving overall satisfaction.

Mobility Change around Neighborhood Parks and Green Spaces before and after the Outbreak of the COVID-19 Pandemic (COVID-19 발생 전·후 생활권 공원녹지 모빌리티 변화 분석)

  • Choi, Ga yoon;Kim, Yong gook;Kwon, Oh kyu;Yoo, Ye seul
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.4
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    • pp.101-118
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    • 2023
  • During the COVID-19 pandemic, the utilization rate of neighborhood parks and green spaces increased significantly, and the outbreak served as an opportunity to highlight the values and functions of neighborhood parks and green spaces for urban residents. This study aims to empirically analyze how citizens' movement and the use of neighborhood parks and green spaces changed before and after COVID-19 and examine the social and spatial characteristics that affected these changes. As a research method, first, people's mobility around neighborhood parks and green spaces before and after the COVID-19 pandemic were compared using signal data from telecommunication carriers. Through the analysis of changes in residence time and movement volume, the movement characteristics of citizens after COVID-19 and changes in walking-based park visits were examined. Second, the factors affecting the mobility change in neighborhood parks and green spaces were analyzed. The social and spatial characteristics that affect citizens' visits to neighborhood parks and green spaces before and after COVID-19 were examined through correlation and multiple regression analysis. Subsequently, through cluster analysis, the types of living areas for the post-COVID era were classified from the perspective of the supply and management of neighborhood parks and green spaces services, and directions for improving neighborhood parks and green spaces by type were presented. Major research findings are as follows: First, since the outbreak of COVID-19, activities within 500m of the residence have increased. The amount of stay and walking movement increased in both 2020 and 2021, which means that the need to review the quantitative standards and attractions of neighborhood parks and green spaces has increased considering the changed scope of the walking and living area. Second, the overall number of visits to neighborhood parks and green spaces by walking has increased since the outbreak of COVID-19. The number of visits to neighborhood parks and green spaces centered on the house and the workplace increased significantly. The park green policy in the post-COVID era should be promoted by discovering underprivileged areas, focusing on areas where residential, commercial, and business facilities are concentrated, and improving neighborhood parks and green services in quantitative and qualitative terms. Third, it was found that the higher the level of park green service, the higher the amount of walking movement. It is necessary to use indicators that contribute to improving citizens' actual park green services, such as walking accessibility, rather than looking at the criteria for securing green areas. Fourth, as a result of cluster analysis, five types of neighborhood parks and green spaces were derived in response to the post-COVID era. This suggests that it is necessary to consider the socioeconomic status and characteristics of living areas and the level of park green services required in future park green policies. This study has academic and policy significance in that it has laid the basis for establishing neighborhood parks and green spaces policy in response to the post-COVID era by using various analysis methodologies such as carrier signal data analysis, GIS analysis, and statistical analysis.