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국회도서관 홈으로 정보검색 소장정보 검색

결과 내 검색

동의어 포함

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Abstract 8

Ⅰ. 서론 10

1. 연구 배경 및 필요성 10

2. 연구 목적 13

Ⅱ. 연구 방법 14

1. 시간활동양상 분석 14

2. 직업 및 산업군의 활동양상 빈도 분석 15

Ⅲ. 결과 17

1. 특성에 따른 시간활동양상 분석 17

2. 직장인의 활동양상 빈도 분포 23

1) 우리나라 국민의 활동양상 빈도 분포 23

2) 직업군의 활동양상 빈도 분포 24

3) 산업군의 활동양상 빈도 분포 38

Ⅳ. 고찰 51

Ⅴ. 결론 53

참고 문헌 56

부록 59

표목차

Table 1. Classification of indoor and outdoor activity using weighting 15

Table 2. Time activity pattern according to characteristics 19

Table 3. Activity classification frequency distribution of house indoor and outdoor of Korean 24

Table 4. Activity classification frequency distribution of residential indoor of occupation 26

Table 5. Activity classification frequency distribution of residential outdoor of occupation 27

Table 6. Activity classification percentage frequency of according to time of managers 28

Table 7. Activity classification percentage frequency of according to time of professionals and related workers 29

Table 8. Activity classification percentage frequency of according to time of clerks 30

Table 9. Activity classification percentage frequency of according to time of service workers 31

Table 10. Activity classification percentage frequency of according to time of sales workers 32

Table 11. Activity classification percentage frequency of according to time of skilled agricultural forestry and fishery workers 33

Table 12. Activity classification percentage frequency of according to time of craft and related trades workers 34

Table 13. Activity classification percentage frequency of according to time of equipment, machine operation and assembling workers 35

Table 14. Activity classification percentage frequency of according to time of elementary workers 36

Table 15. Activity classification percentage frequency of according to time of armed forces 37

Table 16. Activity classification frequency distribution of residential indoor of industry 39

Table 17. Activity classification frequency distribution of residential outdoor of industry 40

Table 18. Activity classification percentage frequency of according to time of agriculture, forestry and fishing 41

Table 19. Activity classification percentage frequency of according to time of manufacturing 42

Table 20. Activity classification percentage frequency of according to time of construction 43

Table 21. Activity classification percentage frequency of according to time of wholesale or retail trade 44

Table 22. Activity classification percentage frequency of according to time of transportation 45

Table 23. Activity classification percentage frequency of according to time of accommodation and food service activities 46

Table 24. Activity classification percentage frequency of according to time of financial and insurance activities 47

Table 25. Activity classification percentage frequency of according to time of Etc 1. 48

Table 26. Activity classification percentage frequency of according to time of public administration and defence; compulsory social security 49

Table 27. Activity classification percentage frequency of according to time of Etc 2. 50

그림목차

Figure 1. Alternative exposure model. 12

Figure 2. Time of the day in occupation 59

Figure 3. Time of the day in industry 60

Figure 4. Time of day of sleep and working in occupation 61

Figure 5. Time of day of sleep and working in industry 62

초록보기

 Personal exposure relies on characteristics of time activity patterns of the population of concern as human activities impact the timing, location, and level of personal pollutant exposure. Information on time spent in microenvironments has a critical role for personal exposure to environmental pollutant because exposure can be explained by concentration and retention time in microenvrionments. It is useful to determine the precise times of the day that the subjects are in certain locations or engaging in specific activities because exposure to some air pollutants can depend on temporal trends. The purposes of this paper were time activity patterns for workers according to industry and occupation of Korean population over 19 years old with 13,093 workers in weekday. Time activity was different by gender and the mean times stayed at home were 13.52 hours in female and 11.81 hours in male, respectively. The major factors on residential indoor time, other indoor, outdoor and transportation spent time were gender, age, work position, industry and occupation type. In this study, time activity patterns according to industry and occupation were different. According to activity pattern, have dinner with other people of worker in other indoors were shown as one of major activities except friendship with other people, which may be exposed to other indoor air pollutants. Consequently, exposure of Korean workers could be estimated by time activity pattern and measured concentration of air pollutants. Time of day is useful to determine the precise times of the day that the workers are in certain locations or engaging in specific activities.