Modeling of Urban Area Stop-and-Go Traffic Noise

1999 ◽  
Vol 125 (2) ◽  
pp. 152-159 ◽  
Author(s):  
Pichai Pamanikabud ◽  
Chaisri Tharasawatpipat
Keyword(s):  
Urban Area ◽  
Traffic Noise ◽  
Stop And Go

Traffic Noise and Physiciansʼ Prescriptions of Drugs for Specific Diseases in the Urban Area of Rome

Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S237
Author(s):  
Carla Ancona ◽  
Chiara Badaloni ◽  
Giulia Cesaroni ◽  
Ursula Kirchmayer ◽  
Valeria Belleudi ◽  
...  
Keyword(s):  
Urban Area ◽  
Traffic Noise

A research on assessment of soundscape in urban area by means of Caption Evaluation Method: effects of context on evaluation of soundscape

2021 ◽  
Vol 263 (2) ◽  
pp. 4592-4597
Author(s):  
Takeshi Akita ◽  
Masahiro Tomioka ◽  
Hanui Yu ◽  
Naoko Sano ◽  
Ayako Matsuo
Keyword(s):  
Urban Area ◽  
Evaluation Method ◽  
Traffic Noise ◽  
Display System ◽  
Information Display ◽  
Research Results ◽  
The People ◽  
Method Effects ◽  
Almost All

Caption Evaluation Method is a technique that was developed in Japan to learn about the reason of evaluation of landscape. The investigative method is a formalized one and can show the element of landscape that a person focused on when he made an evaluation of the landscape, and the reason why he made a good or bad evaluation on it. In the present research, Caption Evaluation Method is applied to the survey of soundscape in urban area. Twenty-one subjects were instructed to walk along the predetermined route, and to take a picture and make evaluation of soundscape when they found out sound that attracted their attention. They rated the sound as good, bad or normal, and they reported the character and impression of it by formalized questionnaire. As a result, one hundred fifty-seven sound elements were obtained. They were classified under the proposed way in the previous research. Results show that traffic noise is assessed bad by almost all the people because of its noisy character, but sound from information display system receives different assessment among people. It is supposed that evaluation of not so noisy sound can be easily affected by the context in a person's mind.

Highway traffic noise effects on land price in an urban area

2007 ◽  
Vol 12 (4) ◽  
pp. 275-280 ◽  
Author(s):  
Kwang Sik Kim ◽  
Sung Joong Park ◽  
Young-Jun Kweon
Keyword(s):  
Urban Area ◽  
Traffic Noise ◽  
Highway Traffic ◽  
Land Price ◽  
Noise Effects

Dynamic modeling of road traffic noise around buildings in an urban area

2012 ◽  
Vol 60 (4) ◽  
pp. 353-362 ◽  
Author(s):  
Wei-Ii Luo ◽  
Ming Cai ◽  
Feng Li ◽  
Ji-ke Liu
Keyword(s):  
Urban Area ◽  
Dynamic Modeling ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise

Contingent valuation of road traffic noise: A case study in the urban area of Quito, Ecuador

2017 ◽  
Vol 5 (4) ◽  
pp. 722-730 ◽  
Author(s):  
Luis Bravo-Moncayo ◽  
Ignacio Pavón-García ◽  
José Lucio-Naranjo ◽  
Roberto Mosquera
Keyword(s):  
Contingent Valuation ◽  
Urban Area ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise

scholarly journals The Effects of Signal System and Traffic Flow on the Sound Level

2020 ◽  
Vol 10 (13) ◽  
pp. 4454
Author(s):  
Chi-kwong Wong ◽  
Yiu-yin Lee
Keyword(s):  
Traffic Flow ◽  
Research Effort ◽  
Traffic Noise ◽  
Sound Level ◽  
Large Cities ◽  
Stop Time ◽  
Stop And Go ◽  
Pollution Problem ◽  
Moving Vehicles ◽  
Noise Measurements

Traffic noise is a major pollution problem in Hong Kong and many large cities throughout the world. Indeed, traffic noise and traffic flow patterns interact, however, there is a very little research effort studying it. To the best knowledge of the authors, the present research is the first on-site measurement study about the effect of a traffic signal on the noise level of moving vehicles. Various cases of “stop and go” and “non-stop” were considered in the traffic noise measurements, where the terms “stop and go” and “non-stop” represent a traffic road with and without traffic signals, respectively. The L10 and Leq noise levels were recorded and compared in the present study. From the results, it was found that the stop time and traffic flow are factors that also affect the sound level properties.

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