Road, Tram and Aircraft Traffic Noise Annoyance Related to the Number of Noise Events and the Equivalent Sound Level

• Autorzy: Felcyn Jan , Ptak Patrycja

Identyfikatory

DOI

10.24425/aoa.2022.142892

• Języki publikacji: EN

Abstrakty

EN

Noise mapping is based on long-term noise indicators, such as LN or LDEN. On the other hand, transportation intensity changes during a day (road traffic peak hours) or a year (more flights during holidays) and this variability is not reflected in single sound level values. We wanted to find out whether not only sound level but also the number of noise events is the factor influencing noise annoyance assessment. Ambisonic recordings of real traffic in a city were used. Road, tramway, and aircraft traffic were investigated and two factors were manipulated: the equivalent sound level value and the number of noise events. All stimuli were presented in an anechoic chamber. The results showed that sound level is always a statistically significant parameter while the number of events has an impact only for tramways and airplanes. Moreover, the difference is observed only between one or more subgroups, no matter what the sound level value was. For road traffic this relation was not found to be statistically significant. It was also shown that the existence of tramway bonus or airplane malus is linked with the number of noise events.

Słowa kluczowe

EN

noise annoyance; noise event; transportation noise; sound level

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2022
• Tom: Vol. 47, No. 4
• Strony: 457--467
• Opis fizyczny: Bibliogr. 36 poz., rys., tab., wykr.

Twórcy

autor

Felcyn Jan

• Department of Acoustics, Faculty of Physics, Adam Mickiewicz University Poznań, Poland

• https://orcid.org/0000-0002-5613-4441

autor

Ptak Patrycja

• Department of Acoustics, Faculty of Physics, Adam Mickiewicz University Poznań, Poland

Bibliografia

• 1. Asensio C., Recuero M., Ruizn M. (2012), Aircraft noise-monitoring according to ISO 20906. Evaluation of uncertainty derived from the classification and identification of aircraft noise events, Applied Acoustics, 73(3): 209-217, doi: 10.1016/j.apacoust.2011.09.002.
• 2. Beim M., Tölle A. (2008), Segregation processes between declining older buildings and suburbanisation - Case study Posen, disP - The Planning Review, 174(3): 51-65, doi: 10.1080/02513625.2008.10557016.
• 3. Beutel M.E. et al. (2016), Noise annoyance is associated with depression and anxiety in the general population - The contribution of aircraft noise, PLOS ONE, 11(5), doi: 10.1371/journal.pone.0155357.
• 4. Brink M. et al. (2019), A survey on exposure-response relationships for road, rail, and aircraft noise annoyance: Differences between continuous and intermittent noise, Environment International, 125: 277-290, doi: 10.1016/j.envint.2019.01.043.
• 5. Brown A.L., De Coensel B. (2018), A study of the performance of a generalized exceedance algorithm for detecting noise events caused by road traffic, Applied Acoustics, 138: 101-114, doi: 10.1016/j.apacoust.2018.03.031.
• 6. Dzhambov A.M., Dimitrova D.D. (2016), Association between noise pollution and prevalent ischemic heart disease, Folia Medica, 58(4): 273-281, doi: 10.1515/folmed-2016-0041.
• 7. Elmenhorst E.-M., Quehl J., Müller U., Basner M. (2014), Nocturnal air, road, and rail traffic noise and daytime cognitive performance and annoyance, The Journal of the Acoustical Society of America, 135(1): 213-222, doi: 10.1121/1.4842475.
• 8. European Union (2002), Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 Relating to the Assessment and Management of Environmental Noise.
• 9. Fastl H., Kuwano S., Namba S. (1996), Assessing the railway bonus in laboratory studies, Journal of the Acoustical Society of Japan (E), 17(3): 139-148, doi: 10.1250/ast.17.139.
• 10. Felcyn J. (2021), The influence of a signal’s time structure on the perceived noise annoyance of road traffic noise, Journal of Environmental Health Science and Engineering, 19: 881-892, doi: 10.1007/s40201-021-00655-4.
• 11. Fields J.M. (1984), The effect of numbers of noise events on people’s reactions to noise: An analysis of existing survey data, The Journal of the Acoustical Society of America, 75(2): 447-467, doi: 10.1121/1.390469.
• 12. Fields J.M. (1993), Effect of personal and situational variables on noise annoyance in residential areas, The Journal of the Acoustical Society of America, 93(5): 2753-2763, doi: 10.1121/1.405851.
• 13. Fields J.M., Walker J.G. (1982), Comparing the relationships between noise level and annoyance in different surveys: A railway noise vs. aircraft and road traffic comparison, Journal of Sound and Vibration, 81(1): 51-80, doi: 10.1016/0022-460X(82)90177-8.
• 14. Gajardo C.P., Morillas J.M.B., Escobar V.G., Vílchez-Gómez R., Gozalo G.R. (2014), Effects of singular noisy events on long-term environmental noise measurements, Polish Journal of Environmental Studies, 23(6): 2007-2017.
• 15. Gjestland T. (2007), The socio-economic impact of noise: A method for assessing noise annoyance, Noise and Health, 9(35): 42-44, doi: 10.4103/1463-1741.36979.
• 16. International Organization for Standardization (2021), ISO/TS 15666:2021 - Acoustics - Assessment of noise annoyance by means of social and socio-acoustic surveys, https://www.iso.org/standard/74048.html (access: 12.10.2021).
• 17. Jeffreys H. (1998), The Theory of Probability, 3rd ed., Oxford University.
• 18. Job R.F.S. (1988), Community response to noise: A review of factors influencing the relationship between noise exposure and reaction, The Journal of the Acoustical Society of America, 83(3): 991-1001, doi: 10.1121/1.396524.
• 19. Kaczmarek T., Preis A. (2010), Annoyance of time varying road-traffic noise, Archives of Acoustics, 35(3): 383-393.
• 20. Kass R.E., Raftery A.E. (1995), Bayes factors, Journal of the American Statistical Association, 90(430): 773-795, doi: 10.1080/01621459.1995.10476572.
• 21. Kim J., Min K., Jung M., Chi S. (2020), Occupant behavior monitoring and emergency event detection in single-person households using deep learning-based sound recognition, Building and Environment, 181: 107092, doi: 10.1016/j.buildenv.2020.107092.
• 22. Kłaczynski M., Pawlik P. (2015), Automatic detection system of aircraft noise events during acoustic climate long-term monitoring near airport, Vibroengineering PROCEDIA, 6: 352-356.
• 23. Marquis-Favre C., Premat E., Aubrée D. (2005), Noise and its effects - A review on qualitative aspects of sound. Part II: Noise and Annoyance, Acta Acustica united with Acustica, 91(4): 626-642.
• 24. Miedema H.M., Oudshoorn C.G. (2001), Annoyance from transportation noise: relationships with exposure metrics DNL and DENL and their confidence intervals, Environmental Health Perspectives, 109(4): 409-416, doi: 10.1289/ehp.01109409.
• 25. Morinaga M., Tsukioka H., Kaku J., Kuwano S., Namba S. (2018), A laboratory investigation into the effect of quiet-time interval between aircraft noise events on overall noisiness, The Journal of the Acoustical Society of America, 144(1): 11-22, doi: 10.1121/1.5044403.
• 26. Müller U., Elmenhorst E.-M., Mendolia F., Basner M., McGuire S., Aeschbach D. (2016), Effects of nocturnal air and rail traffic noise on sleep, [in:] Proceedings of the 22nd International Congress on Acoustics.
• 27. Rice C.G. (1977), Development of cumulative noise measure for the prediction of general annoyance in an average population, Journal of Sound and Vibration, 52(3): 345-364, doi: 10.1016/0022-460X(77)90564-8.
• 28. Rice C.G. (1980), Trade-off effects of aircraft noise and number of events, [in:] Proceedings of the 3rd International Congress on Noise as a Public Health Problem, pp. 495-510.
• 29. Sato T., Yano T., Björkman M., Rylander R. (1999), Road traffic noise annoyance in relation to average noise level, number of events and maximum noise level, Journal of Sound and Vibration, 223(5): 775-784, doi: 10.1006/jsvi.1999.2153.
• 30. Schultz T.J. (1978), Synthesis of social surveys on noise annoyance, The Journal of the Acoustical Society of America, 64(2): 377-405, doi: 10.1121/1.382013.
• 31. Torija A.J., Ruiz D.P., Alba-Fernandez V., Ramos-Ridao Á. (2012), Noticed sound events management as a tool for inclusion in the action plans against noise in medium-sized cities, Landscape and Urban Planning, 104(1): 148-156, doi: 10.1016/j.landurbplan.2011.10.008.
• 32. Vogt J. (2005), The relative impact of aircraft noise and number in a full-factorial laboratory design, Journal of Sound and Vibration, 282(3-5): 1085-1100, doi: v10.1016/j.jsv.2004.03.059.
• 33. Vogt J., Lemburg C., Jaencke L., Kalveram K.-T. (1995), Trading level for number: further evidence that experimentally induced annoyance does not increase, Inter-Noise 95 Proceedings, pp. 857-860.
• 34. Wang Y., Zhao G., Xiong K., Shi G., Zhang Y. (2021), Multi-scale and single-scale fully convolutional networks for sound event detection, Neurocomputing, 421: 51-65, doi: 10.1016/j.neucom.2020.09.038.
• 35. World Health Organization (2018), Environmental Noise Guidelines for the European Region (2018), available at: https://www.who.int/europe/publications/i/item/9789289053563 (access: 25.02.2019).
• 36. Wunderli J.M. et al. (2016), Intermittency ratio: A metric reflecting short-term temporal variations of transportation noise exposure, Journal of Exposure Science and Environmental Epidemiology, 26(6): 575-585, doi: 10.1038/jes.2015.56.