• Title/Summary/Keyword: 인구 특성

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Analysis of Changes in the Characteristics of Urban Spatial Structure in Korea through the Population Gradient Curve (인구밀도경사함수를 이용한 우리나라 도시공간구조의 지역별.규모별 변화특성 분석)

  • Yun, Kapsik;Lee, Gabjeong
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.3
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    • pp.445-457
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    • 2013
  • This paper aims to investigate changes in the characteristics of urban spatial structure in Korea by regional groups and city size between 2000 and 2010. The characteristics of urban spatial structure is analyzed by Clark's population gradient curve in this paper. Therefore key parameters in population gradient function, such as population density gradients and population density in CBD represent the characteristics of urban spatial structure. The result shows that most of cities in Korea have experienced suburbanization rather than concentration, but small-size cities have experienced concentration during the period.

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The Characteristics of Migration in Gangwon Innovation City and Wonju Company Town (강원혁신도시와 원주기업도시의 인구이동 특성 분석)

  • Hong, Giljong;Bae, Sunhak
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.3
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    • pp.300-312
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    • 2021
  • The purpose of this study was to compare and analyze characteristics of Gangwon Innovation City and Wonju Company Town. Both were created with similar purpose, place, time, and scale. However, they were created with different approaches: relocating public institutions and attracting private institutions. For research data, population microdata provided by the National Statistical Office were used. As a result of the analysis, the Gangwon Innovation City and the Wonju Company Town greatly influenced the population growth of Wonju and the movement of the population within Wonju. The influx of population into the study area brought positive changes in both demographic structure and population indices. Excluding relocation to Wonju-si, Innovation Cities and Company Town accounted for more than 50% of those who migrated from the metropolitan area (Seoul, Gyeonggi and Incheon). The supply of apartment houses (apartments) in the Innovation City and the Company Town stimulated the transfer from the inside of Wonju to this area. For households that moved to Gangwon Innovation City and Wonju Company Town, the most common reasons for moving in were housing, occupation, and family.

Analysis of Relationship between the Spatial Characteristics of the Elderly Population Distribution and Heat Wave based on GIS - focused on Changwon City - (GIS 기반 노인인구 분포지역의 공간적 특성과 폭염의 관계 분석 - 창원시를 대상으로 -)

  • SONG, Bong-Geun;PARK, Kyung-Hun;KIM, Gyeong-Ah;KIM, Seoung-Hyeon;Park, Geon-Ung;MUN, Han-Sol
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.3
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    • pp.68-84
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    • 2020
  • This study analyzed the relationship between spatial characteristics and heat waves in the distribution area of the elderly population in Changwon, Gyeongsangnam-do. For analysis, the Statistics Census data, the Ministry of Environment land cover, Landsat 8 surface temperature, and the Meteorological Agency's heat wave days data were used. The spatial characteristics of the distribution of the elderly population was classified into 5 types through K-mean cluster analysis considering the land use types. The characteristics of the elderly population by spatial type were higher in the urbanized type(cluster-3), but the proportion of the elderly population was higher in the agricultural and forest area types(cluster-1, cluster-2). In the characteristics of the surface temperature and the heat wave days, the surface temperature was the highest in the urban area, but heat wave days were the highest in the rural area. As a result of analyzing the heat wave characteristics according to the spatial type of the distribution area of elderly population, cluster-2 with the largest area in agricultural areas was highest at 15.95 days, and cluster-3 with a large area in urbanized types was the lowest at 9.41 days and 9.18 days. In other words, the elderly population living in rural areas is more exposed to heat waves than the elderly population living in urban areas, and the damage is expected to increase. The results of this study could be used as basic data to prepare various policy measures for effective management and prevention of vulnerable areas in summer.

A Study on the Structural Characteristics of Marginal Village : The Case of Goheung-gun in Jeollanamdo (우리나라 한계촌락의 구조적 특성에 관한 연구 - 전라남도 고흥군을 사례로 -)

  • Jeong, Won-Gi;Ahn, Young-Jin
    • Journal of the Korean association of regional geographers
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    • v.22 no.3
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    • pp.515-528
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    • 2016
  • Since 1960s the rural population of Korea has continually decreased as a result of the rapid rural-to-urban migration and this caused an economic recession as well as the accelerated aging phenomenon in the rural communities. Such problems got worse in smaller rural villages and marginal villages began to appear among the rural communities. This study aims to analyze the structures and characteristics of rural marginal villages. A case study on the county of Goheung, Jeollanamdo, is carried out using survey and stakeholder interviews. With the survey results a series of comparative analysis are done revealing the commonalities and peculiarities between two different types of marginal villages. This study also tries to reveal the residents's perceptions on the marginal villages and the potential determinants of rural rehabilitation.

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Chungbuk Province's Migration Characters Based on the Centrality Indicators : Comparative Observations of 2001 and 2008 Examples (중앙성 지표에 따른 충청북도 인구이동 특성 : 2001년과 2008년 사례 비교분석)

  • Park, Ju-Hye;Hong, Sung-Ho;Ahn, Yoo-Jeong;Lee, Man-Hyung
    • Journal of the Korean association of regional geographers
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    • v.16 no.4
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    • pp.369-386
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    • 2010
  • Migration usually derived from the gap of spatial efficiency and the attractiveness difference between the origin and the destination puts forth significant impact on the regional dynamics of population. Both migration and regional planning or policy are structurally interconnected, exerting impact each other within the circular loops. In order to observe migration characters in the regional dimension, this research depends on social network analysis(SNA) methods which easily portray interrelationship and its weight between the origin and the destination. In specific, it focuses on the application of centrality indicators in order to understand the in- and out-migration patterns and visualize them with spring graphs, pinpointing the in- and out-migration administrative units. This research deals with three migration patterns in 2001 and 2008, respectively: i) in- and out-migration between the nation and Chungbuk Province; ii) in- and out-migration within Chungcheong Areas; and iii) in- and out-migration within Chungbuk Province. Judging from Chungbuk examples, the highest in-migration was recorded at Heungduck District in terms of in- and out-migration between the nation and Chungbuk Province. Seoul and Gyeonggi were two major origins towards Chungbuk Province. Within Chungcheong Areas, Daejeon produced the highest in-migration in 2001. However, Chungnam took that position in 2008.

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한국의 인구주택 총조사 발전

  • 이강우
    • 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.

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Patterns of Migration in the Busan Metropolitan Area(II) : Household Characteristics and Migration Selectivity (부산 대도시권의 인구이동(II) : 이동 가구 특성과 선택성)

  • Choi, Eun-Young;Koo, Dong-Hoe;Joe, Soon-Kee
    • Journal of the Korean association of regional geographers
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    • v.16 no.2
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    • pp.123-136
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    • 2010
  • To grasp the migration characteristics in the Busan Metropolitan Area (BMA), this study analyzed household characteristics and migration selectivity. The major findings of the study are as follows: first, young (especially 25 to 34 years of age) and single person households have greater propensity to migrate out from BMA, and their home ownership rate is low. These trends are much stronger in households that migrate out towards the Seoul Metropolitan Area from Busan. Second, age and educational selectivity of migration is evident. The characteristics of movers are quite different from those of stayers at Busan. Young people are more likely to migrate out of Busan, and higher levels of education are deeply associated with higher mobility. Through analyzing four high schools in Busan, it is acknowledged that most honor students entered 4-year universities in Seoul. The outflow of highly educated young people may induce the brain drain. Busan is undergoing both population decline and the problems caused by the brain drain.

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A Study on Population Change and Projection in Korea Mountainous Area (산촌지역 인구변동의 특성 분석과 장래 추계)

  • Min, Kyung-Taek;Kim, Myeong-Eun
    • Journal of Korean Society of Forest Science
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    • v.103 no.4
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    • pp.670-678
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    • 2014
  • This paper analyzes the characteristics of population change and makes the population projection in the mountainous area of Korea. Mountainous areas are defined as local towns (eup or myeon) with forest area more than 70 percent of land area, population density less than 111 people per square kilometer, and plowland area less than 21 percent of land area. The population in mountainous areas has decreased dramatically, while the ageing index has increased over the past two decades. To make the population projection, the cohort-change ratios method is applied. The results revealed that a multitude of young people aged 10 to 39 moved to cities to find education and job chance and some people aged 40 and over moved to mountainous areas as the trends of urban-to-rural migration. This continuing trend will culminate in 680 thousand people in population and 1,035 of ageing index in 2030, which will lead to the unequal land development and inefficient forest management. Thus, policy makers need to develop stimulus plans to revitalize and stabilize the economy of mountainous areas.

Demographic, Living, and Behavioral Differentials of the Elderly's Dementia in Gyeongsan Area in Northern Gyeongsang Province (노인들의 치매 실태와 치매노인들의 인구학적 및 생활습관적 특성- 경상북도 경산지역을 중심으로)

  • Kim, Han-Gon
    • Korea journal of population studies
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    • v.27 no.2
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    • pp.231-255
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    • 2004
  • 본 연구의 목적은 경상북도 경산지역에 거주하는 65세 이상 노인들의 치매실태를 알아보고 치매노인들의 인구학적 특성 및 생활 습관적 특성을 알아보는데 있다. 본 연구에서는 모집단의 약 6%에 해당하는 1,120 명을 표본으로 추출하여 한국형 간이정신상태 검사를 포함한 면담표를 이용하여 2003년 8월 1일부터 2003년 9월 2l일까지 수행되었다. 면담에 응하지 않거나 분석 자료로 활용할 수 없는 160 사례를 제외한 960 사례가 최종분석에 이용되었다. 본 연구에서 밝혀진 내용은 다음과 같다. 한국형 간이정신상태 검사에 따르면 응답자들의 10.6%가 치매에 이환된 것으로 나타났으며 그들 가운데 54.9%는 경증, 31.4%는 중등증, 13.7%는 중증이었다. 치매노인들의 인구학적 및 생활 습관적 특성을 알아보기 위하여 교차분석을 도입하였으며 치매에 영향을 미치는 인구학적 및 생활 습관적 특성들을 경험적으로 규명하기 위하여 로지스틱회귀분석을 사용하였다. 로지스틱회귀분석 결과 정신노동에 관련된 직업에 종사했던, 규칙적인 운동을 하는 응답자, 규칙적 식사를 하는 사람과 적당량의 음식을 섭취하는 응답자들이 치매이환의 대수승산을 감소시키는 것으로 밝혀졌으며 통계적으로 유의미한 것으로 나타났다. 반면 나이가 높을수록 노인들의 치매이환의 대수승산을 증가시키는 것으로 밝혀졌다. 끝으로 노인들의 치매이환을 감소시키기 위한 여러 가지 정책적 대안들을 논의하였다.

A Study on Deep Learning Model Based on Global-Local Structure for Crowd Flow Prediction (유동인구 예측을 위한 Global - Local 구조 기반의 시계열 Deep Learning 모델에 관한 연구)

  • Go, Dennis Heounmo;Park, Sanghyun
    • 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.