Comparison of Community Annoyance From Railway Noise Evaluated by Different Category Scales

Yano, Takashi; Yamashita, Toshio; Izumi, Kiyoto

doi:10.1006/jsvi.1997.1018

Cited by 21 publications

(16 citation statements)

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“…Disturbance*day-time 0)36 0)32 0)97 0)98 0)95 0)99 (n"744) (n"599) (n"11) (n"9) (n"7) (n"5) Disturbance*night-time 0)26 0)24 0)84 0)94 0)83 0)99 (n"647) (n"710) (n"10) (n"8) (n"6) (n" 5) night. These night-time values serve as indicators for quiet or restless sleep or sleep disturbances.…”

Section: Physiological Surveymentioning

confidence: 98%

“…Since then, further "eld studies have been carried out in Austria by Lang [4], and in Japan by Yano et al [5], which have produced very di!erent results; whilst the above railway bonus was con"rmed in the Austrian study, there was no railway bonus in the Japanese study, because of the special Japanese situation (e.g., no tra$c at night). Laboratory tests carried out by Fastl et al [6,7] showed a railway bonus of 5 dB(A).…”

Section: Introductionmentioning

confidence: 96%

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Differences Between Railway and Road Traffic Noise

Moehler¹,

Liepert²,

Schuemer

et al. 2000

Journal of Sound and Vibration

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Section: Physiological Surveymentioning

confidence: 98%

Section: Introductionmentioning

confidence: 96%

Differences Between Railway and Road Traffic Noise

Moehler¹,

Liepert²,

Schuemer

et al. 2000

Journal of Sound and Vibration

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“…In general, the Likert scale is used to measure this attitude. According to Yano et al (1997), the degree of annoyance from transportation noise is not influenced by the number of steps in the scale. Hence, the sevenstep response scale used in many preceding studies was also used here, as shown in Table 2.…”

Section: Analysis Methodsmentioning

confidence: 99%

“…For example, Kryter (1982) reported that annoyance from aircraft noise is greater than that from other transportation noises and that annoyance from road traffic noise is higher than that from railway noise (see also Fields and Walker, 1982;Schultz, 1982;Miedema, 2004). However, Yano et al (1997) and Morihara et al (2004) found no significant difference between road traffic noise and railway noise. It is speculated that these differences stem from differences among societies and nations.…”

Section: Introductionmentioning

confidence: 99%

Indoor Noise Annoyance Due to Transportation Noise

Park

2018

Journal of Asian Architecture and Building Engineering

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This study examined the relationship between noise annoyance and sound pressure levels in indoor environments due to various modes of transportation including road traffic, railways, and aircraft. The experiments were conducted in a laboratory environment, where the limited sense of presence was overcome by using an appropriate exposure duration. The degree of annoyance was surveyed and the average score was converted into percent of annoyance (%PA) and percent high annoyance (%HA) values among respondents for comparisons with the noise levels. As expected, the subjective response increased in proportion with the noise level and there was an extremely high correlation. Notably, the smallest deviation in responses was found for road traffic noise. Overall, the noise levels corresponding to a %PA of 50% were 41 dB(A), 48 dB(A), and 49 dB(A) for road traffic noise, railway noise, and aircraft noise, respectively. In addition, the levels corresponding to a %HA of 20% were 45 dB(A), 51 dB(A), and 53 dB(A), respectively. The %HA values coincided well with current regulations for indoor noise in Korea (45 dB(A)).

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“…Before starting the main test, subjects were given an explanation of the purpose of the test and were asked to rate the degree of annoyance, as if they were resting in their home. According to the study by Yano et al 10 , the degree of annoyance elicited by transportation noise is not affected by the numerical scale used for the purpose of rating. Therefore, a scale ranging from one (not at all annoying) to seven (extremely annoying) was used to rate the level of annoyance in this study.…”

Section: Subjectsmentioning

confidence: 99%

Predictive Model of Annoyance Induced by Combined Transportation Noise

Park

Song

Baek

et al. 2010

Journal of Asian Architecture and Building Engineering

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A series of studies on the subjective response to aircraft, railway, and road traffic noise has previously been carried out. However few studies have examined the optimal physical parameters for this type of measurement and evaluation. To date, several physical parameters, such as the equivalent sound level (L eq ), day-night average sound level (L dn ), and day-evening-night average sound level (L den ), have been used to evaluate various types of transportation noise. However, physical parameters that are universally applicable to all types of transportation noise have not been developed. The present study was designed to analyze the relationship between transportation noise and the subjective response. The study is currently in the preliminary stages of developing a physical parameter that can evaluate both individual and combined transportation noises. In conclusion, the regression model, which includes a set of variables that describe sound levels for single and mixed source noise, predicts annoyance levels with an accuracy of >95%, as measured by the determination coefficient.

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Comparison of Community Annoyance From Railway Noise Evaluated by Different Category Scales

Cited by 21 publications

References 0 publications

Differences Between Railway and Road Traffic Noise

Differences Between Railway and Road Traffic Noise

Indoor Noise Annoyance Due to Transportation Noise

Predictive Model of Annoyance Induced by Combined Transportation Noise

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