• Title/Summary/Keyword: metropolitan statistical area

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A Research on the Social Relation Network of Middle-aged Women and Preference for Silver Town (중년여성의 사회적관계망과 실버타운 선호도 연구)

  • Ha, Choon-Kwang
    • Journal of Family Resource Management and Policy Review
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    • v.10 no.3
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    • pp.97-111
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    • 2006
  • The objective of this research is to analyze how main social relation network of middle-aged women such as family, friends and neighbors, etc affects the preference for silver town. For this objective, structured questionnaires were distributed to 309 middle-aged women at the age of 40-59 years old living in Seoul and new cities of metropolitan area. Statistics such as ANOVA, Pearson Coefficient and Multiple Regression were adopted for statistical analysis. The main result of this research is as follows: First, housewives showed higher preference for silver town than people involved in other occupations. Second, though the relation of friends and neighbors among the social relation network of middle-aged women affected the preference for silver town, that of family did not affect significantly. The result of this research suggests that it is necessary to adopt policy considering the relation of friends and neighbors among the social relation network of middle-aged women so as to activate silver town.

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The Study of the Relationship between Positive Environmental Behaviors and Nature Related Experiences (환경보전 행위와 자연관련 경험과의 관계 연구)

  • 최현정;윤여창
    • Hwankyungkyoyuk
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    • v.13 no.1
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    • pp.53-64
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    • 2000
  • The objective of this study is to identify the relationship between the individual's environmental behaviors and personal experiences about nature. Interview surveys were done to collect data from 237 adults who live in the metropolitan area of Seoul. Statistical methods such as mean, standard variables, 1-test, ANOVA, multiple regression analysis, GLM(general linear model) were employed to analyze the data using SPSS program. The major results were as follows: 1. The group who has higher nature experience score also has significantly higher environmental behaviors score. 2. Most of nature experiences show significant relationship with positive environmental behaviors. 3. In each demographic group, nature experiences were related to positive environmental behaviors.

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Statistical analysis of material data (분실물 데이터에 대한 통계적 분석)

  • Hur Tai-sung;Boram ko
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.467-468
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    • 2023
  • 본 연구에서는 서울시의 공개 분실물 데이터를 활용하여 분실물 패턴과 트렌드를 분석하였다. 분석 방법으로는 분실물 등록일, 월별 분실물 조회수, 분실물 종류별 개수 등 다양한 관점에서 데이터를 접근하는 것이다. 분석 결과를 통해 분실물의 종류와 위치에 따른 분포, 분실물 발생 시기와 조회수 사이의 관계 등 여러 가지 통찰을 얻을 수 있었다. 이 결과는 분실물 관리와 예방에 대한 이해를 높이는 데 기여하며, 향후 이 분야의 연구에 더욱 심화된 관점을 제공할 것이다.

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Analysis on Passenger Car Travel Characteristics by Household Type (자가용 승용차의 가구그룹별 통행특성 차이에 관한 연구)

  • Joo, Jin Ho;Yeon, Ji Youn;Jang, Dong Ik
    • Journal of Korean Society of Transportation
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    • v.32 no.4
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    • pp.347-356
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    • 2014
  • Passenger cars occupy about 74% among registered vehicles in Korea and the ratio of transportation mode sharing is approximately 60% in the passenger transport part. However, there is no statistics related to travel characteristics of passenger cars, and official statistics are estimated from O/D travel data. Thus, National Transportation DataBase Center in KOTI has attempted to construct various statistical data through Korea Vehicle Use Survey. Based on these data, Analysis of Variance (ANOVA) was conducted to investigate the differences in travel characteristics of each analysis group. As a result, all of the explanatory variables(weekday vs. weekend, metropolitan area vs. non-metropolitan area, male vs. female, commute time vs. other time, routine purpose vs. non-routine purpose) were found to be different across households. In addition, travel distances per trip of weekday, metropolitan area, male, commute time, and non-routine purpose are longer than the opposite variables. Also, the trip distances of small size(1 to 2 persons) households are shorter compared to large size(more than 5 persons) households.

A spectrum based evaluation algorithm for micro scale weather analysis module with application to time series cluster analysis (스펙트럼분석 기반의 미기상해석모듈 평가알고리즘 제안 및 시계열 군집분석에의 응용)

  • Kim, Hea-Jung;Kwak, Hwa-Ryun;Kim, Yu-Na;Choi, Young-Jean
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.1
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    • pp.41-53
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    • 2015
  • In meteorological field, many researchers have tried to develop micro scale weather analysis modules for providing real-time weather information service in the metropolitan area. This effort enables us to cope with various economic and social harms coming from serious change in the micro meteorology of a metropolitan area due to rapid urbanization such as quantitative expansions in its urban activity, growth of population, and building concentration. The accuracy of the micro scale weather analysis modules (MSWAM) directly related to usefulness and quality of the real-time weather information service in the metropolitan area. This paper design a evaluation system along with verification tools that sufficiently accommodate spatio-temporal characteristics of the outputs of the MSWAM. For this we proposes a test for the equality of mean vectors of the output series of the MSWAM and corresponding observed time series by using a spectral analysis technique. As a byproduct, a time series cluster analysis method, using a function of the test statistic as the distance measure, is developed. A real data application is given to demonstrate the utility of the method.

The Effect of Corporate Social Responsibility Activities on Organizational Trust and Job performance

  • Kim, Moon Jun
    • International Journal of Advanced Culture Technology
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    • v.8 no.3
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    • pp.114-122
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    • 2020
  • We study confirmed the effect of corporate social responsibility activities on organizational trust and job performance of organizational members and mediating effects of organizational trust among 351 members of the organization in the metropolitan area and Chungcheong area. For this, the SPSS 24.0 and AMOS 24.0 statistical packages were used to produce the following results. First, as a result of analyzing the impact of CSR activities on organizational trust of organizational members, factors of economic responsibility, legal responsibility, ethical responsibility, and charitable responsibility showed significant effects on organizational trust. Second, as a result of analyzing the relationship between the effects of CSR activities on the job performance of members of the organization, it showed a direct effect on job performance, which is a factor of economic responsibility, legal responsibility, ethical responsibility, and charitable responsibility. Third, organizational trust of organization members was analyzed as a positive factor in job performance. Fourth, it showed the mediating effect of organizational trust on the effect of corporate social responsibility activities on job performance. As a result of this study, the organizational performance and job performance of organizational members showed a direct effect on CSR activities. Therefore, the CSR activity is important as it is a key factor to advance the organizational trust and job performance, which is the company's sustainable management system.

A Study on the Applcation of Small Wind Power System using Meteorological Simulation Data in Pusan (기상수치모의 자료를 이용한 부산지역의 소형풍력발전 시스템 적용에 관한 연구)

  • Lee, KwiOk;Lee, KangYeol;Kang, Dongbae;Park, Changhyoun;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.23 no.6
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    • pp.1085-1093
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    • 2014
  • We investigate the amount of potential electricity energy generated by wind power in Busan metropolitan area, using the mesoscale meteorological model WRF (Weather Research & Forecasting), combined with small wind power generators. The WRF modeling has successfully simulated meteorological characteristics over the urban areas, and showed statistical significant to predict the amount of wind energy generation. The highest amount of wind power energy has been predicted at the coastal area, followed by at riverbank and upland, depending on predicted spatial distributions of wind speed. The electricity energy prediction method in this study is expected to be used for plans of wind farm constructions or the power supplies.

Middle-Class Baby-Boomers' Preferred Characteristics of Continuing Care Retirement Communities (중산층 베이비부머의 연속보호체계형 은퇴주거단지에 대한 선호특성)

  • Kim, Mi-Hee;Moon, Hee-Jeong
    • Journal of the Korean housing association
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    • v.28 no.3
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    • pp.75-83
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    • 2017
  • The purpose of this study was to identify some residential characteristics of Post-retirement and characteristics of the Continuing Care Retirement Communities (CCRCs) favored by those baby-boomer generations soon retiring. A web-based online survey was conducted with middle-class baby-boomers living in the Seoul-Incheon-Gyengki capital area and the five metropolitan cities of Korea between 9th and 20th of February in 2017. A total 0f 507 responses were valid for statistical analysis. The findings obtained that they preferred living Urban outskirts after retirement; Desired area of post-retirement was differentiated depending on asset and educational attainment; 63.4% of respondents had no intentions to live with adult child; a combination of independent living and assisted living was the most preferred form of the CCRCs; Over 80% of respondents had intention to live in independent living, assisted living and nursing home; and Intention to live in assisted living and nursing home was differentiated depending on Intention to live with adult child. Among the four Community-linked types, the Hospital-based one was most popular. The University-based and Religion-based ones were then preferred by females than males. The results obtained here can be used for reflecting the residents needs when planning the CCRCs in Korea.

Analyzing the Evolution of Summer Thermal Anomalies in Busan Using Remote Sensing and Spatial Statistical Tool

  • Njungwi, Nkwain Wilfred;Lee, Daeun;Kim, Minji;Jin, Cheonggil;Choi, Chuluong
    • Korean Journal of Remote Sensing
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    • v.37 no.4
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    • pp.665-685
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    • 2021
  • This study focused on the a 20-year evaluation of the dynamism of critical thermal anomalies in Busan metropolitan area prompted by unusual infrastructural development and demographic growth rate. Archived Landsat thermal data derived-LST was the major input for UTFVI and hot spot analysis (Getis-Ord Gi*). Results revealed that the surface urban heat island-affected area has gradually expanded overtime from 23.32% to 32.36%; while the critical positive thermal anomalies (level-3 hotspots) have also spatially increased from 19.88% in 2000 to 23.56% in 2020, recording a net LST difference of > 5℃ between the maximum level-3 hotspot and minimum level-3 coldspot each year. It is been observed that thermal conditions of Busan have gradually deteriorated with time, which is potentially inherent in the rate of urban expansion. Thus, this work serves as an eye-opener to powers that be, to think and act constructively towards a sustainable thermal conform for city dwellers.

Geographical Characteristics of PM2.5, PM10 and O3 Concentrations Measured at the Air Quality Monitoring Systems in the Seoul Metropolitan Area (수도권 지역 도시대기측정소 PM2.5, PM10, O3 농도의 지리적 분포 특성)

  • Kang, Jung-Eun;Mun, Da-Som;Kim, Jae-Jin;Choi, Jin-Young;Lee, Jae-Bum;Lee, Dae-Gyun
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.657-664
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    • 2021
  • In this study, we investigated the relationships between the air quality (PM2.5, PM10, O3) concentrations and local geographical characteristics (terrain heights, building area ratios, population density in 9 km × 9 km gridded subareas) in the Seoul metropolitan area. To analyze the terrain heights and building area ratios, we used the geographic information system data provided by the NGII (National Geographic Information Institute). Also, we used the administrative districts and population provided by KOSIS (Korean Statistical Information Service) to estimate population densities. We analyzed the PM2.5, PM10, and O3 concentrations measured at the 146 AQMSs (air quality monitoring system) within the Seoul metropolitan area. The analysis period is from January 2010 to December 2020, and the monthly concentrations were calculated by averaging the hourly concentrations. The terrain is high in the northern and eastern parts of Gyeonggi-do and low near the west coastline. The distributions of building area ratios and population densities were similar to each other. During the analysis period, the monthly PM2.5 and PM10 concentrations at 146 AQMSs were high from January to March. The O3 concentrations were high from April to June. The population densities were negatively correlated with PM2.5, PM10, and O3 concentrations (weakly with PM2.5 and PM10 but strongly with O3). On the other hand, the AQMS heights showed no significant correlation with the pollutant concentrations, implying that further studies on the relationship between terrain heights and pollutant concentrations should be accompanied.