인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Urban traffic noise pollution is a growing environmental concern affecting public health, urban development, and life quality. This research aimed to understand current situation of noise in the normal traffic, collected and processed data of noise levels from various high traffic areas in Jakarta. This research used primary, quantitative, and statistical analysis to assess noise exposure in high-traffic areas and found significant variations in LAeq, Max Level, and LC Peak measurements. Findings showed that excessive noise levels were beyond safe exposure limits, even reaching a peak value of 124.4 dB. Prolonged exposure to noise that exceeded safe exposure levels may lead to stress, sleep problems, and heart-related conditions. The weak correlation (R² = 0.0419) of noise levels with time found in this study suggests that external factors like traffic volume and city infrastructure are more important than time of day in determining noise levels in the city. Acknowledging past research on the negative implications of noise pollution on population’ wellbeing, this study’s findings underscore the need for better noise mitigation policies. These include improved traffic control, increased adoption of low-noise vehicles, tighter restrictions on vehicle noise emissions, and overall, a more effective urban traffic planning and implementation. In addition to traffic control measures, greater use of sound-absorbing construction materials for urban infrastructure and intensified public awareness campaigns on the dangers of noise pollution are essential. Future research should use advanced predictive models that integrate a wider range of environmental variables.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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