کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
506254 864883 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A soundscape approach to analyze traffic noise in the city of Taipei, Taiwan
ترجمه فارسی عنوان
رویکرد نمای صوتی به تجزیه و تحلیل صدای ترافیک در شهر تایپه، تایوان
کلمات کلیدی
جغرافیای شهری؛ آلودگی صوتی ترافیک؛ نمای صوتی شهری؛ طیف نگاره؛ آنالیز مولفه های اصلی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی

Highlight
• To implement spatial-temporal representation of urban soundscape.
• To analyze dominant traffic noise under various urban land use types.
• To customize a better plan for noise reduction based on different notions of comfort levels and acoustic factors.
• This holistic approach suggests a new way in presenting dimensions of urban sounds through qualitative means.

Traffic noise has been a serious issue in urbanized areas and caused annoyance and health problems. It is thus essential to monitor and reduce traffic noise Traditional approaches focus on the measurement of amplitude or frequency of noise. Nonetheless, these measurements hardly help researchers distinguish unique features of dominant noise at different types of land use. This study adopts the theoretical framework of urban soundscape to examine noise patterns. Amplitude, frequency and time, are three key parameters for the analysis of soundscape. Sound recordings are made at four urban sites (downtown, one commercial, and two residential areas) in the City of Taipei, Taiwan, during three time periods (8 am, 3 pm, and 8:30 pm). Sound data is processed by seewave and XLSTAT software for the representation of spatiotemporal patterns of urban soundscape. Principal Component Analysis (PCA) approach is introduced to analyze the dominant sources of noise under various types of land use. The analytical results intuitively explain how various types of vehicles play vital roles under different types of land use. For instance, cars or taxis are the dominant sources of noise in residential and commercial areas in the afternoon and evening. The results also specify the dominance of public transport such as buses in the downtown areas during daytime. In summary, the adoption of the descriptive soundscape pattern and computer-based statistical analysis in this study helps researchers not only understand the relation between traffic noise and urban landscape but also develop a conceptual framework to reduce impacts of noise and improve the quality of life in cities.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers, Environment and Urban Systems - Volume 59, September 2016, Pages 78–85
نویسندگان
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