• Title/Summary/Keyword: National census data

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Population Trends of Wintering Whooper Swans(Cygnus cygnus) in South Korea: Data from the Winter Waterbird Census Program

  • Choi, Jieun;Kim, Ji Yoon;Do, Yuno;Joo, Gea-Jae
    • Korean Journal of Ecology and Environment
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    • v.51 no.4
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    • pp.365-372
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    • 2018
  • The Wintering Waterbird Census of Korea was started in 1999 and monitors 200 major migratory sites in South Korea. Waterfowl counts have been undertaken for more than 20 years since; however, a limited number of studies have analyzed the temporal patterns of waterfowl population. In this study, we analyzed population size changes of wintering whooper swan (Cygnus cygnus) at 112 monitoring sites from 2001 to 2018. The average number of whooper swans was $4,296{\pm}42.66$ and there was a trend for an increase in population size across the survey period. We found that the population in the Nakdong River Estuary, one of the major wintering sites over 18 years (26.22% of the national population), had rapidly decreased (-0.77% per year). Conversely, the whooper swan population in the Junam Reservoir and Sihwa Lake increased (+1.64%, +0.54% per year, respectively). Estuaries showed the highest dominance of whooper swans among the five different habitat types, accounting for 32.13% of the population. Reservoir/lakes had 30.60% of the total population and reclaimed lakes(18.24%), river (13.11%), and coast (5.93%) followed. The annual distribution of the whooper swan population in South Korea has been affected by various habitat conditions resulting from human activities and urbanization. To better understand the complex factors that can cause rapid changes in wintering waterfowl populations, it is necessary to integrate the data from the bird census program with environmental conditions to conduct in-depth pattern analyses over longer time periods.

Change Pattern of Residential Areas in Seoul: Based on Detached Houses Case Studies between 2000 and 2010

  • Jang, Ji Hyuk;Kwon, Young Sang
    • Architectural research
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    • v.19 no.2
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    • pp.35-43
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    • 2017
  • In South Korea, problems such as low fertility, aging population, and income polarization have recently become more serious. In this time of social change, it is necessary to examine the current changes occurring to residences in order to improve the stability and health of residential areas. The purpose of this study is to investigate the changes of residential areas that occurred between 2000 and 2010 based on detached houses, which are the foundation of residential areas in Seoul. Changes in residential areas can be observed by examining changes in the type of housing and the characteristics of the residents. Since the type of housing and the characteristics of the residents change in the same area, it is necessary to study them together, not as individual elements. Census data is suitable for this purpose, because it can show the changes that have occurred to the housing type and the residents' characteristics within the neighborhood unit. Among the census output areas identified as residential areas based on detached houses, six sites were selected as the case study area based on the rate of change of detached houses. From the result of the case study using the census data, the study area was categorized into three regional types: (i) an urban development and redevelopment area; (ii) an area with a concentration or increasing number of detached houses; (iii) an area with an increasing number of multi-family houses based on detached houses.

Regional Difference in Retail Product Association of Market Basket Analysis in US

  • Byong-Kook YOO;Soon-Hong KIM
    • Journal of Distribution Science
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    • v.21 no.4
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    • pp.121-129
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    • 2023
  • Purpose: Market basket analysis is one of the most frequently used methods in the retail industry today as a technique to discover the product association. It is empirically analyzed how these product associations differ regionally in the case of the United States. Research design, data, and methodology: Based on the purchasing data of consumer panels collected from 49 US states, the association rules for each state was extracted with the corresponding lift values indicating product association. The difference in lift values in 49 states by the association rule was compared and tested for 49 states and for 4 census regions (Northeast, Midwest, South, West). Results: The association rules of 3/4 of the same association rules show positive associations or negative associations depending on the lift values of the states. There were significant differences in the lift values for 49 states, and for 4 census regions. These significant differences in the lift values were found to be related to the distance between states and whether states belong to the same census region. Conclusions: Retail product associations shown by market basket analysis may vary depending on regional distance or regional heterogeneity. It is necessary to pay attention to these points in multi-store environment.

Analysis of Population Depending on Spatial Unit for Setting Suitable Spatial Unit to Rural Planning (농촌계획 수립에 적합한 공간단위 설정을 위한 공간 단위에 따른 인구 비교 분석)

  • Lee, Jimin
    • Journal of Korean Society of Rural Planning
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    • v.25 no.3
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    • pp.1-9
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    • 2019
  • Population is important as a fundamental element of local industry and economy, and census data is essential to regional planning and policy making. Although there have been many researches on population and regional planning, there are few studies on population considering spatial unit. In this study, the population of three spatial scales were compared in order to establish the spatial unit suitable for the rural planning. The study area is Gangwon, Chungcheong-Nam, Chungcheong-Buk, Jeolla-Nam, Jeolla-Buk, Gyeonsang-Nam, Gyeonsang-Buk and Jeju province. Population were compared using statistical data analysis, GIS visualization, and spatial statistics. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. As the results, the census output area unit is difficult to interpret spatial analysis results. Administrative district unit has the limit that includes areas where the population does not live. The grid unit is well suited to the geographical characteristics but has many disadvantages of the grid with small population. Therefore, It is necessary to complement the limits of the Eup and Myeon-dong administrative district through the grid unit data.

A Study on the Classification of Physical Decline in Small and Medium Cities - Focused on the analysis of building DB in the unit of Census Output Area - (중소도시의 물리적 쇠퇴등급 분류 연구 - 집계구 단위의 건축물 DB 분석을 중심으로 -)

  • Han, Da-Hyuck;Lee, Min-Seok
    • Journal of the Korean Institute of Rural Architecture
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    • v.22 no.3
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    • pp.41-48
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    • 2020
  • The purpose of this research is to manage the physical sectors systematically, needed for the selection and direction of declining areas, such as urban regeneration and revitalization projects, by grading the density of decline indicators of buildings in small and medium cities. In five small and medium-sized cities in Jeollanam-do, the data were divided into three stages according to the density, according to the use, structure, and age of the building. Rating by element of Census Output Area, detailed designation, and management of declining areas in small and medium-sized cities are required, rather than setting the scope of declining areas based on administrative districts. It is also necessary to manage cities through complex and intra-element phasing rather than single elements in defining physical decline. The analysis based on the complex factors and boundary of the Census Output Area is meaningful in order to maintain and manage such cities in a more detailed and precise manner according to such characteristics of each region.

Analysis of the Status of Agricultural Communities and Location Quotient (LQ) using Regional Survey Data in 2015 Census of Agriculture, Forestry, and Fisheries (2015 농림어업총조사 지역조사 자료를 이용한 농업공동체 현황과 지역별 입지계수(Location Quotient: LQ) 분석)

  • Lee, Jimin
    • Journal of Korean Society of Rural Planning
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    • v.26 no.2
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    • pp.83-93
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    • 2020
  • Rural areas have been faced with various problems such as aging and population decline, and in these circumstances, the activation of local communities is suggested as a solution. Agricultural producer organizations are a powerful means of maintaining rural society. The purpose of this study is to understand the characteristics of agricultural community activities by region by comparing the status of organization and activities and analyzing Location Quotient(LQ) based on the regional survey data in the 2015 census of agriculture, forestry, and fisheries. As the results of the analysis, it was found that 38.35% of villages participated in economic organizations and 32.22% of villages were having urban-rural exchange activities. The crop clubs were actively operated in the Gyeongsangbuk province, and other economic organizations were organized in Jeju, Haenam-gun, and Dangjin-si more than other regions. And the urban-rural exchange activities were found in Chungcheongnam province mainly. The results of detailed LQ analysis by organization and activity showed that specialized regions for each community or activity were different. These results could be used for regional planning or the establishment of strategies for community activation.

Visual census and hydro-acoustic survey of demersal fish aggregations in Ulju small scale marine ranching area (MRA), Korea (수중촬영조사법과 음향자원조사법을 활용한 울주군 연안 소규모 바다목장 해역의 어류 군집 조사)

  • Hwang, Bo-Kyu;Lee, Yoo-Won;Jo, Hyun-Su;Oh, Jeong-Kyu;Kang, Myounghee
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.1
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    • pp.16-25
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    • 2015
  • Visual census and hydro-acoustic survey was carried out at Ulju small scale marine ranching area (MRA) to estimate demersal fish aggregations on September and November 2013. In this hydro-acoustic survey, the authors combined an image sonar with a scientific echo sounder to monitor an underwater situation and compare two acoustic data. Consequently, visual census survey was useful to estimate fish species composition for hydro-acoustic survey, because it is easy to identify aggregated fish species and overcome limits on a fishing depth and ability of an conventional fishing gear like a bottom gill-net or a fish trap at marine ranching area. Mean fish density was estimated as $0.757g/m^2$ on September and $0.219g/m^2$ on November and Fish abundance was finally calculated as 1.51ton (coefficient of variation, CV=13.1%) on September and 0.44ton (CV=47.7%) on November, respectively. Hydro-acoustic survey combined with the image sonar was useful to monitor fish aggregations and estimate fish stocks around artificial reefs at shallow coastal MRA. We were able to easily identify the underwater structures like an artificial reef and a fishing rope as well as fish aggregations from image sonar data. Therefore, the method was effective to separate unwanted echo signals in acoustic data of scientific echo sounder.

Method on Constructing Precision Population-statistical Map Integrating GIS and National Census Data for Location Analysis (GIS와 국가인구통계자료 통합에 의한 입지분석용 정밀인구통계지도 구축 방법)

  • Lee, Yong-Ik;Hong, Sung-Eon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.11
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    • pp.3302-3307
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    • 2009
  • The objective of the present study lies in providing the method to construct the precision population-statistical map for statistical demographics making full advantage of GIS and the national census data in an attempt to improve accuracy and reliability of population estimation applicable for a variety of location analysis. More specifically, it adopts the multiple regression analysis by segmented land use type(biotope) taking into account that the land use diversified as residence, commercial and office areas has the close connectivity and interdependence with population. Based on the analyzed result above, the study finalizes the modeling to construct demographic map with higher precision by prioritizing the population density by weight value and then re-distributing the population according to jurisdictional dong's and types of use for the land. The study consequently is expected to be conducive to improving precision and reliability rather than the existing method for population estimation widely acceptable thus far.

Analysis of Vehicle Selection Factors Using Energy Census (에너지총조사를 이용한 차량 선택 요인 분석)

  • Shin, Him Chul;Won, DooHwan
    • Environmental and Resource Economics Review
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    • v.31 no.2
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    • pp.291-317
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    • 2022
  • This study tried to analyze the factors affecting consumers' vehicle selection for the spread of eco-friendly vehicles. We used the energy census data for this purpose, and although the energy census collects useful information from a large number of samples, it has been limitedly used to create simple statistics in many cases. Based on 2,771 transport sector microdata from the 2017 Energy Census, we collected vehicle price, fuel efficiency, and number of vehicle models, which are alternative characteristic variables that change according to consumers' choice, and converted and analyzed data to enable conjoint analysis. The analysis results in two-folds. First, it was confirmed that the official fuel efficiency of a vehicle and the fuel cost, which is affected by changes in the relative price of each fuel, are important variables in selecting an eco-friendly vehicle. In order to achieve the goal of spread of eco-friendly vehicles, it is necessary to develop technologies to improve fuel efficiency and set appropriate electric rates for charging electric vehicles. Second, an increase in the number of vehicle models through the expansion of the eco-friendly car industry and market also affects consumers' choice of eco-friendly vehicles, so efforts to expand the supply of eco-friendly vehicles will be an important factor. In addition, it is also significant that this study showed that the use of the energy census can be diversified by deriving meaningful policy implications using the results of the energy census periodically conducted in the country without a separate survey.

Associations between Exposure to Unhealthy Food Outlets Within Residential District and Obesity: Using Data from 2013 Census on Establishments and 2013-2014 Korea National Health and Nutrition Examination Survey (거주지 주변의 식품환경과 비만의 관련성 연구: 2013 전국사업체조사와 2013-2014 국민건강영양조사 자료를 이용하여)

  • Kim, Yoonjung;Han, Sung Nim
    • Korean Journal of Community Nutrition
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    • v.21 no.5
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    • pp.463-476
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    • 2016
  • Objectives: Environmental, social and personal factors influence eating patterns. This study aimed to investigate the relationship between unhealthy food outlets within a residential area and obesity using nationally representative Korean survey data and data from the Census on Establishments. Methods: Data on the food intakes and socioeconomic variables of a total of 9,978 adults aged ${\geq}19$ years were obtained from the 2013-2014 Korea National Health and Nutrition Examination Survey. Geographic locations of restaurants were obtained from the 2013 Census on Establishments in Korea. Administrative area was categorized into tertiles of count of unhealthy food outlets based on the distribution of number of unhealthy food outlets among all urban (Dong) and rural (Eup or Myun) administrative districts in Korea. Multilevel logistic regressions model were used to assess the association between the number of unhealthy food outlets and obesity. Results: People living in the district with the highest count of unhealthy food outlets had higher intakes of fat (45.8 vs. 44.4 g/day), sodium (4,142.6 vs. 3,949.8 mg/day), and vitamin A (753.7 vs. $631.6 {\mu}gRE/day$) compared to those living in the district with the lowest count of unhealthy food outlets. A higher count of unhealthy food outlets was positively associated with frequent consumption of instant noodles, pizza, hamburgers and sandwiches, sweets and sour pork or pork cutlets, fried chicken, snacks, and cookies. Higher exposure to unhealthy food outlets was associated with increased odds of obesity (1st vs. 3rd tertile; OR 1.689; 95% CI 1.098-2.599). Conclusions: A high count of unhealthy food outlets within a residential area is positively associated with the prevalence of obesity in Korea. The results suggest that food environmental factors affects the health outcomes and interventions aiming to restrict the availability of unhealthy food outlets in local neighborhoods may be a useful obesity prevention strategy.