• Journal of the Korean association of regional geographers
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• v.7 no.3
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• pp.107-120
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• 2001

This study is concerned with providing a reliable procedure of calibrating a set of places specific distance parameters and with applying it to U.S. inter-State migration flows between 1985 and 1900. It attempts to conform to recent advances in quantitative geography that are characterized by an integration of ESDA(exploratory spatial data analysis) and local statistics. ESDA aims to detect the spatial clustering and heterogeneity by visualizing and exploring spatial patterns. A local statistic is defined as a statistically processed value given to each location as opposed to a global statistic that only captures an average trend across a whole study region. Whereas a global distance parameter estimates an averaged level of the friction of distance, place-specific distance parameters calibrate spatially varying effects of distance. It is presented that a poisson regression with an adequately specified design matrix yields a set of either origin-or destination-specific distance parameters. A case study demonstrates that the proposed model is a reliable device of measuring a spatial dimension of migration, and that place-specific distance parameters are spatially heterogeneous as well as spatially clustered.

• Korea journal of population studies
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• v.32 no.2
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• pp.59-85
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• 2009

본 연구는 최근 인구학에서 공간적 접근을 시도하는 논의들이 활발해지는 경향과 함께 지역 적합적 저출산 대응정책의 필요성의 대두라는 정책적 수요에 부합하고자 자녀출산계획에 있어 지역의 공간적 효과가 미치는 효과를 분석하였다. 또한, 기혼여성의 연령, 출산한 자녀의 수가 자녀를 출산할 계획을 가질 확률에 대한 비선형적 효과를 실증적으로 분석하였다. 다층모형과 같이 최근 지역연구에서 이용되고 있는 실증분석방법들의 한계점을 살펴보고, 그 대안으로 Geo-Additive Model을 적용하였다. 동 방법론은 한 모형 내에서 공간의 구조적 효과와 비구조적 효과, 연속형 변인의 비선형효과 등을 동시에 추정할 수 있다. 이를 위한 분석자료로 통계청의 2005년도 인구주택총조사의 마이크로데이터 중 2% B형 자료를 이용하였다. 분석결과 기혼여성이 자녀를 출산할 계획을 가질 확률에 기혼여성의 연령과 출산한 자녀의 수는 비선형적 효과를 주었으며, 특히 각 개인들은 현재의 출산 상태에서 자녀 한명을 추가로 출산하는 것이 동일한 부담으로 작용하지 않음을 알 수 있었다. 이를 통해 기혼여성들의 첫출산 시점이 결혼연령에 따라 차이가 있고 결혼코호트에 따라 다르더라도 첫출산 자체가 여전히 보편적인 현상이라는 가정을 받아들인다면, 출산율 제고를 위한 정책의 대상은 첫째아를 이미 출산한 여성들이 되어야 할 것으로 보인다. 또한, 자녀를 출산할 계획을 가질 확률에 지역의 구조적 공간효과가 유의미한 영향을 주는 것으로 분석되었다. 지역별 합계출산율의 공간 자기상관분석 결과와 비교해 본 결과 출산계획의 구조적 공간효과가 양의 효과를 미치는 지역에서는 실제 출산행위인 합계출산율도 높지만, 구조적 공간효과가 부적인 효과를 가지고 있는 지역에서는 합계출산율도 낮게 나타남을 알 수 있었다. 따라서 각 지방자치단체에서는 지자체들의 정책수요나 자원 및 재정의 부담능력 등 지역별 차이를 고려하지 않은 일률적인 정책의 추진을 지양하고, 지역 특수성을 고려하여 지역에 적합한 출산정책을 추진해야 할 것이다.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.2
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• pp.123-141
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• 2009

Interregional migration is viewed as the most important component in regional population change in Korea. The purpose of this study is to analyze the structure of interrelationship among influential factors of interregional migration from the macro-viewpoint. During the period of 2000-05 the correlation between immigration and outmigration among 223 shi gun gu spatial unit was over 0.95, indicating that regions with high outmigration received high immigration. In this study the hypothesized cause-and-effect relationship among six influential factors of total migration flow was analyzed using path analysis. Based on the direct effect culturalwelfare environment has the biggest impact on immigration, while education environment and new housing environment are somewhat less and industrial-job opportunity environment the smallest impact. However based on the indirect effect, fiscal environment has the biggest impact on immigration, while industrial-job opportunity environment and infrastructure environment are somewhat less and new housing environment the smallest impact. If we consider the total effect, fiscal environment and cultural-welfare environment have the most significantly influenced on immigration. In particular, the influence of fiscal environment was remarkable in migration process through nonrecursive path and feedback loop.

• 가정의 벗
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• v.33 no.4 s.380
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• pp.10-10
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• 2000

• 가정의 벗
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• v.33 no.10 s.386
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• pp.10-10
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• 2000

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.458-461
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• 2021

유동인구 예측은 상권의 특성에 따른 점포의 입지 선정 및 고객 맞춤형 마케팅 등 민간 분야에서부터 교통망 등 사회 간접 자본 설계를 위한 공공 분야에 이르기까지 다양한 목적으로 연구되어 왔으며, 최근에는 Covid-19 의 확산에 따라 그 중요도가 더욱 높아지고 있다. 보다 정교한 예측을 위해서는 전체적인 유동 인구 뿐만 아니라 특성 별로 세분화된 하위 그룹에 대해서도 정확한 예측이 요구되나, 기존의 예측 모델들은 이러한 데이터의 계층 구조를 고려하지 않았다. 본 연구에서는 세분화된 하위 그룹 별 유동인구의 예측 정확도를 높이기 위해 전체 유동인구의 패턴을 동시에 활용하는 Global-Local 구조 기반의 Deep Learning 유동인구 분석 모델을 제안한다. 실험 결과 단일 시계열 데이터만을 사용하는 경우 대비 5.4%~52.6%의 예측 오류 감소 효과가 있음을 확인하였다.

• Journal of the Korean Regional Science Association
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• v.40 no.2
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• pp.91-106
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• 2024

Around the world, many countries experiencing the issue of shrinking cities are continually expanding high-speed rail networks to enhance regional accessibility and address imbalances. This study analyzed the effects of high-speed train operations on the age-specific population migration in South Korean municipalities from 2012 to 2019, taking into account the risk levels of shrinking cities. For this purpose, an analysis was conducted using age-specific net in-migration population as the dependent variable, employing the spatial panel autoregressive model. The research results indicated that the influence of high-speed rail on regional population inflow varies depending on the risk level of shrinking city. In other words, high-speed railway operations had positive effects on population inflow in the capital areas and some major cities, while explained population outflow in the other regions. High-speed railways particularly exerted a significant impact on the inflow of the young and middle-aged population, representing the working age, but this effect was also limited to regions with a low risk of shrinkage. The findings of this study emphasize the importance of considering planned population and industrial attraction when installing high-speed rail with the goal of achieving regional balanced development and mitigating shrinkage. The results of this study also suggest the need for subsequent research to explore factors that positively influence population structure and inflow based on the level of shrinkage risk in each region, as well as the introduction of new policies tailored to the specific situations of each local government.

• Informatization Policy
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• v.22 no.3
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• pp.61-93
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• 2015

This article assesses and examines democratic potentials of the Internet for U.S. citizens' political participation. The empirical analysis on the data from Pew Research Center's questionnaire survey focuses on four different political activities in both online and offline modes: casual political talk, contact with a government official, petition, and political contribution. The study answers two research inquiries: 1) How does the Internet influence the established patterns of political participation?; and 2) How does the Internet influence the demographic distribution of participatory inequality? Firstly, the Internet, by providing existing participants with additional tools for participation, reinforces conventional participation, rather than mobilizing new participation in politics. Secondly, the online patterns of the participation divide with respect to demographic characteristics imitate the traditional patterns of inequality and disproportionate representativeness in political participation. The Internet is still not a predominant medium for political activities. Citizens' utilization of its transformative and mobilizing potentials remains limited.

• Land and Housing Review
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• v.14 no.2
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• pp.1-17
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• 2023

In Korea, the population size of the elderly is rapidly increasing, and housing for them is emerging as an important issue. In particular, Aging in Place (AIP) has steadily been presented as a direction of welfare for the elderly. This study empirically examines the effect of the interactions of the elderly with their children on residential mobility for older Koreans. To do so, this study employed random effect logistic regression models with the dataset of the 2008-2020 Korean Longitudinal Study of Aging. The findings are as follows. First, it was found that the interaction with their children increased the probability of residential mobility for older Koreans in both metropolitan areas and non-metropolitan areas. Second, as age increased, the interaction with their children tended to further promote residential mobility for older Koreans, but such effects varied depending on related variables. Third, it was confirmed that the possibility of further promoting residential mobility for older Koreans increased through the interaction effects of the variables associated with the interaction with their children. This study suggests policy implications for the residential mobility of older Koreans, i.e., whether the interactions with their children improve independent residential environments by enhancing housing stability, in terms of AIP.

• Proceedings of the Korean Statistical Society Conference
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• 2004.11a
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• pp.29-34
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• 2004

계속 반복하여 실시되는 통계조사에서 조사원은 오차를 발생시키는 주요 요인으로 간주되고 있다 조사원에 의한 오차를 측정하는 방법으로서 조사표 형태별로 조사원, 집락 및 가구 등 변수에 따라 할당하고 선계방법에 따른 추정 값에 대한 효과 및 효과의 분산을 산출하는 모델을 제시한다. 또한 실제 조사모델로부터 품질관리표본을 추출하여 이를 대상으로 리인터뷰를 실시한 결과를 조사원의 인구통계학적 특성별로 분석하고 불일치지수 등을 산출함으로써 오차를 분석하는 방법을 제시한다.