• The Korean Journal of Applied Statistics
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• v.29 no.3
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• pp.487-503
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• 2016

Urban-to-rural migration for farming has recently emerged as a new way to vitalize rural economies in a fast-aging rural Korea. In this paper, we analyze the 2013 data of returning farmers with statistical network methods. We identify urban to rural migration hubs with centrality measures and find migration trends based on regional clusters with similar features via statistical network models. We also fit a latent distance model to investigate the role of distance in migration.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.479-492
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• 2020

Purpose: The purpose of this study is to analyze the impact of regional characteristics on population movement on the Seoul metropolitan areas. Method: To this end, 66 basic entities in the Seoul metropolitan area were divided into three regions by analyzing the demographic movement data from 2010 to 2016 and the factors for determining population movement within and between regions were identified by applying a stepwise regression technique. Result: The major analysis confirmed that the increase in the number of apartments in all areas of the Seoul metropolitan area, the increase in the number of single-family homes, the increase in the number of employees, the increase in manufacturers, the growth rate of knowledge, culture, and leisure industries, the increase rate of GRDP, and the opening of new subway stations. In particular, the growth rate of the number of apartments, the growth rate of the knowledge, culture and leisure industries, the increase rate of GRDP, and the opening of new subway stations played a positive role in increasing population inflow. Conclusion: The result showed that by region, the growth rate of knowledge, culture and leisure industries contributed greatly to the inflow of population in the first region, and that the opening of new subway stations and the increase of GRDPs were the main factors. The increase in the number of apartments and subway stations were the main factors in the three areas.

• 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.

• 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.

• The Korean Journal of Applied Statistics
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• v.3 no.2
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• pp.7-15
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• 1990

인구주택 센서스 즉, 인구주책 총조사는 일정시점을 기준으로 일정한 영역 또는 제한된 지역에 있어서의 모든 사람에 관한 개개의 특성과 경제 및 사회적 제반자료 및 주택실태에 관한 자료를 수집, 공표하는 일련의 과정(total process)을 말한다. [4] 이러한 인구주택 총조사는 인구통계 뿐만 아니라 모든 통계의 기초가 되며, 이구주택 총조 사의 정확도는 한나라의 통계발전 수준을 평가할 수 있는 척도가 된다. 우리나라에서는 인 구에 관한 대부분의 정보가 총조사를 원천으로 하여 작성 되어왔고, 장래 인구추계 및 인구 이동과 생명표에 관한 분석 등이 총조사 자료를 기초로 하여 이루어 지고 있기 때문에 인구 주택 총조사에 대한 의존도가 상당히 높게 나타나고 있다. 특히, 인구주택 총조사에서 수집, 생산되는 자료를 국가와 지역사회의 교육, 보건, 고용, 후생, 주택, 지역발전 등 각종 정책의 수립과 평가를 위한 기초자료로서 이용되는 등 그 중요성은 날로 커지고 있다. 그러나 산업 화와 급진적인 도시화 과정에서 수반된 높은 인구이동으로 인하여 인구주택 총조사의 실시 는 점차 복잡하고 어려워 지고 있다. 따라서 본고에서는 우리나라 인구주택 총조사의 발전 과 그 여건을 살펴봄으로써 인구주택 총조사의 중요성 및 곤란성을 인식하는데 일조하고자 한다.

• Information Systems Review
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• v.7 no.1
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• pp.65-80
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• 2005

The Seoul Metropolitan Subway Corporation (SMS) and the Seoul Metropolitan Rapid Transit Corporation (SMRT), which manage the city's eight subway lines, are intending to overcome their operational inefficiencies. The two investigators of the paper realize with emphasis that it is essential for the two subway authorities to analyze subway transit data prior to put policies and plans into practice. In this paper, the investigators propose a new, and an intuitive, way of analyzing subway passenger transit patterns. To achieve this goal, they have implemented a data mart by blending the "Pass Card" log data into the multidimensional model. The subway passenger's transit patterns and the practical implications of this system are also investigated.

• Proceedings of the KGS Conference
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• 2004.05a
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• pp.29-29
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• 2004

통계청에 따르면 2000년 현재 우리나라는 노인인구 7.2%로 이미 고령화사회에 진입하였고, 2019년 노인인구 14%로 예측된다. 이렇듯 고령화가 급격히 진행됨에 따라 전체 인구에서 노인의 비중이 커지게 되었고, 노인은 지역계획의 주요한 요소로 자리잡아, 이에 관련된 연구가 활발히 진행되고 있다. 그러나 현재 노인관련연구는 식생활과 생활상, 지역특성으로 인한 수명변화 등 피동적인 연구에 집중되고 있으며, 인구이동과 같은 개인의 능동적인 선택에 관한 연구는 미흡한 면이 있다. (중략)

• Journal of the Korean association of regional geographers
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• v.22 no.1
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• pp.120-134
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• 2016

This study aims to investigate the hierarchical stepwise migration and its influences on regions (metropolitan areas, cities and counties of Korea administrative district) through analyzing the city rank-size and the changes of natural increase of population. The result shows that the inter-regional migration has been associated to the decrease of the population and the decline of NIR in the regions where outflows have been persisted. Also, theses demographic events have sequentially occurred through the hierarchy of settlement system: gradually from rural (gun) and lower ranked regions in the system of city rank-size, to urban (si) and regions in the high ranks in the system. Based on the result of this study, it is possible to understand and expect the major origins of inter-regional migration, the presence of the hierarchical stepwise migration and most significantly, the spatial expansion of depopulation problems.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.95-102
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• 2023

This study aims to empirically verify the moderating effect of population drop on the relationship between demographic changes and crime decline in local cities facing population decline in Korea. The study employs changes in the population of young adults, men, elderly, foreign residents, and population movement as factors of demographic changes, including types of the city as a control variable in the research model. The rate of change in population drop is used as a moderator variable and the rate of change in crime decline as a dependent variable. Data are collected from 155 cities with declining populations from 2010 to 2022 through KOSIS, the National Statistics Portal, and information disclosure requests. Data collected are analyzed using moderated regression analysis. In the first and second stages of the analysis, they show that changes in the population of young adults, population movement, foreign people, population drop, and the type of city affect the change in crime. Moderated regression analysis shows that only the interaction terms among changes in the population of young adults, changes in population movement, and changes in the population of foreigners and the population drop affects change in crime significantly.

• Proceedings of the Population Association of Korea Conference
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• 2006.12a
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• pp.247-266
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• 2006