• Journal of the Korean association of regional geographers
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• v.12 no.5
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• pp.614-630
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• 2006

Improved estimates of populations at risk for quick and effective response to natural and man-made disasters require spatial disaggregation of zonal population data because of the spatial mismatch problem in areal units between census and impact zones. This paper implements a dasymetric surface model to facilitate spatial disaggregation of the population of a census block group into populations associated with each constituent pixel and evaluates the performance of the surface-based spatial disaggregation model visually and statistically. The surface-based spatial disaggregation model employed geographic information systems (GIS) to enable dasymetric interpolation to be guided by satellite-derived land use and land cover data as additional information about the geographic distributor of population. In the spatial disaggregation, percent cover based empirical sampling and areal weighting techniques were used to objectively determine dasymetric weights for each grid cell. The dasymetric population surface for the Atlanta metropolitan area was generated by the surface-based spatial disaggregation model. The accuracy of the dasymetric population surface was tested on census counts using the root mean square error (RMSE) and an adjusted RMSE. The errors related to each census track and block group were also visualized by percent error maps. Results indicate that the dasymetric population surface provides high-precision estimates of populations as well as the detailed spatial distribution of population within census block groups. The results also demonstrate that the population surface largely tends to overestimate or underestimate population for both the rural and forested and the urban core areas.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.155-175
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• 2014

This study targets to recognize needs of spatial pattern analysis and to draw the relationship between relocation of Capital Region firms and population outflow in Capital Region through the regression analysis. The population outflow in Capital Region has moved to and around Yesan-gun and Asan-si. Also, such outflow is found to compose mostly one or two household members for their jobs. In addition to this study has analyzed to find effect factors through the Geographically Weighted Regression. The results of the analysis has confirmed that the most decisive factors affecting population flow from Capital Region to Chungcheongnam-do were population factors and transportation factors and others. Thus, the below policy implications could be derived and also may be applied toward Sejong City which are currently experiencing the relocating of Public sectors and new constructions. Firstly, the effect of Capital Region firms movement on population inflows could be better observed in small-scale towns like "kun" than larger-scale towns like "si.". On the other hand, people in Capital Region moved to larger-scale towns like "si" unlike the Capital Region firms. This difference implicates that people select their residence according to not only their jobs but also residential environment. Secondly, moving people from Capital Region to another region for their jobs are expected to appear more in a form of family units rather than individual units. Sejong city, where public organizations are being relocated, should recognize this particular Chungcheonnam-do phenomenon and be prepared to be more effectively used in perspectives of land use as well as urban planning.

• Korea journal of population studies
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• v.32 no.2
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• pp.141-159
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• 2009

우리나라는 2002년 초저출산 사회(합계출산율 1.3명 이하)로 진입한 후 합계출산율이 평균 1.2 이하인 상황이 지속되고 있다. 이러한 초저출산 상황이 향후 지속된다면 인구고령화의 사회 경제적 여파가 예상보다 클 것으로 전망된다. 과연 이런 초저출산 추세가 일시적인 것인지 아니면 앞으로 계속 지속될 것인지에 대한 검토가 필요하다. 이에 본 연구는 최근 저출산함정 가설(low fertility trap hypothesis)을 제기한 Lutz, Skirbekk and Testa(2006)의 논의를 소개한다. 그들은 크게 인구학적, 사회적, 그리고 경제적 요인과 같이 3가지 요인으로 구분하여 저출산함정의 존재 가능성을 논하고 있다. 그렇다면 과연 우리나라는 저출산함정에 빠져 있는가? 먼저 고령화 가설의 경우 출생아수와 고령화간 부(-)의 관계가 나타나고 있으며, 최근 이상자녀수가 2.2~2.3명이지만, 실제자녀수는 그 수준을 하회하고 있어 이상자녀수가설도 지지된다. 상대소득가설의 경우, 류덕현(2007)의 연구결과에 따르면 연령 계층 간 상대소득이 출산율에 정(+)의 효과를 보여 상대소득가설이 지지되는 것으로 나타났다. 물론 제한된 영역에서 완벽한 검증이 이루어진 것은 아니지만, 적어도 출산율이 대체수준까지 회복되기에는 어려운 상황이라는 점을 발견할 수 있었으며, 이는 우리나라의 저출산 문제가 얼마나 심각한 수준인지를 재확인시켜준다.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.389-392
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• 2012

주식시장은 자본주의 경제에 있어서 기업에게는 자본조달의 창구라는 기능을, 일반 투자자에게는 투자기회를 제공하고 국민경제적 입장에서는 자산과 부의 재분배 기능을 수행하는 등 매우 중요한 역할을 수행하고 있다. 따라서 국민경제를 이루는 거시경제학적 변수와 관계가 있을 것으로 보고 일부 연구자들은 거시 경제변수가 주가에 어떤 영향을 주는 지를 분석하고자 했다. 한편 주식시장에 있어서 인구통계학적 변수 역시 의미있는 변수이다. 특히 주식시장에 투자자로 직접 참여하는 투자자수는 더욱 중요하다. 본 연구는 단지 일부 거시경제학적 변수만의 효과를 다루었던 연구와 달리 인구통계학적 변수까지 종합적으로 고려하여 이들 변수가 주가에 미치는 영향을 분석할 수 있는 이론적인 토대를 정리하고 모형 도출을 위한 선행연구이다.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.1-7
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• 2019

Jeju City is one of the cities where decline of old city-center is appearing due to the reduction of residential and floating population. The decline of old city-center of Jeju City has been on the rise since the 1990s, and has been intensifying in the 2000s. Jeju City is currently activating specific policies to ensure activation and diversification of the local commercial area. In this paper, we propose a new method to increase the number of visitors to Jeju-Mokkwana by using Augmented Reality technology for activating commerce of old city-center. Various Augmented Reality contents based on smart-phone are implemented and operated in Jeju-Mokkwana. Also the survey is conducted to 574 visitors who have experienced online/offline promotion for analyzing effects. Survey results show that the proposed method can be effectively used to activate the old city-center by increasing the floating population.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2017.10a
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• pp.112-114
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• 2017

• 가정의 벗
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• v.37 no.2 s.426
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• pp.4-6
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• 2004

보건복지부는 저출산$\cdot$고령화사회에 효과적으로 대처하고 공공보건 의료 확충 및 통상협력 등에 적극 대응하기 위해 정책기능을 대폭 확충하는 내용의 직제 개편을 단행하였다. 변화하는 미래사회를 대비한 적극적인 사업 추진이 기대되는 2004년도 주요 업무 계획을 살펴보기로 한다.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.147-156
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• 2011

Since the urbanization process has been taking place, negative outcomes such as environmental pollution and traffic congestion have produced as well. Reflecting the phenomenon, our study assumed that physical structure of urban form were implicit in relation to both economic performance and cost. It can be interpreted that as the urban space has been growing bigger, economic performances such as regional product output, economy of scale and the effect of agglomeration economies are increased. On the contrary, the negative effects such as environmental pollution and traffic congestion were incurred as economic loss and expenses. It means that even though economic performance can help increase regional product output, we should consider the loss on economic expenses which are paid for social problems such as environmental pollution and traffic congestion, which are caused by urbanization. Therefore, this study aims to statistically validate the relationship between traffic congestion as the most representative economy costs and physical characteristics of urban in a large city such as Seoul and to suggest its implications. As a result of model development for empirical analysis, GRDP(0.604), the population(0.582), employment GINI coefficients(0.296), population GINI coefficients(0.254) in order led to congestion cost. We can come to the conclusion that in case of scale factor such as the population, if the population tends to concentrate, urban becomes more crowded and that if GINI coefficients (the population, employment) which are variable on inequality according to region have the disparity with surrounding areas, congestion cost is caused a lot on account of movement related with employment. In addition, this phenomenon was caused if both the population and employment were geographically biased on one side.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.1
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• pp.57-67
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• 2020

Recently, smart cities are attracting attention as a solution for a plethora of urban problems, including transportation, environment, safety, and energy. However, despite a substantial body of research dealt with the concept, trends, policy, and legal institutions of smart cities, few researchers have examined how the smart city services influence the cities from the dynamic perspective that considers the entire cycle of a city, including its growth, stagnation, and decline. Thus, it is vital to understand how the city changes with time from the view that a city is a system of sub-elements-population, industry, transportation, environment, housing, and land-closely interacting together. Within this context, this study explores how the urban dynamics of Anyang-city develop for the long term using the System Dynamics method and analyzes the effect of smart city project investment on the dynamics of Anyang-city. According to the result, Anyang-city is a "mature and stable" type, and its population is expected to decrease slowly by 2040. Specifically, the Anyang-city population will be reduced to 553,000 by 2030. It was analyzed that the number will decrease to 543,000 by 2040. It was also found that the investment in smart city projects in Anyang, based on the Plan for Anyang Smart City, would have the following effects: easing population decline, increasing number of businesses, improving urban safety index, and increasing average driving speed. The population will grow by 4,000 and the number of businesses will increase by 761 than before budget investment. The result of this paper is expected to contribute to identifying and predicting the effect of smart city policies from a long-term perspective.

• Korea journal of population studies
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• v.31 no.1
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• pp.27-54
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• 2008

The purpose of this study is to analyze the effect of policy boosting fertility and labor participation rate on potential GDP growth rate. To do this, we employ a growth accounting approach, which decomposes per capita GDP into two parts. The first one is the change of dependency ratio and the other is the change of labor input. The labor input is again decomposed into the qualitative and quantitative parts. The quantitative part considers the change of labor participation rate and working time. The qualitative aspects is based on the trend of productivity of labor. From the scenarios of NSO(National Statistics Office), the effect of the fertility-raising policy on per capita potential GDP growth rate is calculated and projected to the year of 2050. We also forecast the policy effect inducing high labor participating rate of female labor and beyond 55-year old labor. The baseline results show that the per capita GDP growth rate will show mid 4% to the year of 2010, gradually declining to 3.94% by 2020, 3.03% by 2030, 2.41% by 2040. The high fertility rate scenario will not have effects on the potential growth by 2030, but show 0.10%p higher per capita GDP growth rate than that of baseline scenario result. By the high female labor participation policy, the per capita GDP growth rate will reach 0.04%p higher per capita GDP growth rate than that of baseline scenario. Based on the results of this paper, we conclude that the quantitative labor input cannot solely account for the trend decline of potential GDP, and the qualitative aspect, like labor productivity, is much more important element to sustain and boots the economic growth.