Manish P. Manohare, Bhavya Garg, E. Rajasekar, M. Parida
Abstract Soundscapes affect the health and quality of life of humans. Noisy soundscapes have a negative impact on humans causing annoyance, sleep disturbance and cardiovascular issues. This paper analyses the change in heart rate variability (HRV) due to exposure of different soundscape stimuli. A total of 40 soundscape stimuli were collected from New Delhi India, which were grouped into three clusters, ‘Loud’, ‘Active’ and ‘Silent’, based on psychoacoustic indicators. Listening experiments were conducted with 25 healthy participants, during which electro-cardiography responses were collected as response variable. HRV analysis was performed to analyse the change in time domain (Heart rate, SDNN, NN50, pNN50) and frequency domain (VLF, LF, HF, LF/LF ratio) parameters. A significant change in heart rate is observed with an increase in loudness of stimuli. The change in HRV is analysed by considering noise sensitivity level of participants. A significant decrease in SDNN is noted for participants with high noise sensitivity. Frequency domain parameters of HRV did not exhibit a significant change due to noise exposure. A significant decrease in SDNN suggests imbalanced autonomic nervous system activation, which increases the risk of cardiovascular diseases, particularly for people with high noise sensitivity.
{"title":"Evaluation of change in heart rate variability due to different soundscapes","authors":"Manish P. Manohare, Bhavya Garg, E. Rajasekar, M. Parida","doi":"10.1515/noise-2022-0158","DOIUrl":"https://doi.org/10.1515/noise-2022-0158","url":null,"abstract":"Abstract Soundscapes affect the health and quality of life of humans. Noisy soundscapes have a negative impact on humans causing annoyance, sleep disturbance and cardiovascular issues. This paper analyses the change in heart rate variability (HRV) due to exposure of different soundscape stimuli. A total of 40 soundscape stimuli were collected from New Delhi India, which were grouped into three clusters, ‘Loud’, ‘Active’ and ‘Silent’, based on psychoacoustic indicators. Listening experiments were conducted with 25 healthy participants, during which electro-cardiography responses were collected as response variable. HRV analysis was performed to analyse the change in time domain (Heart rate, SDNN, NN50, pNN50) and frequency domain (VLF, LF, HF, LF/LF ratio) parameters. A significant change in heart rate is observed with an increase in loudness of stimuli. The change in HRV is analysed by considering noise sensitivity level of participants. A significant decrease in SDNN is noted for participants with high noise sensitivity. Frequency domain parameters of HRV did not exhibit a significant change due to noise exposure. A significant decrease in SDNN suggests imbalanced autonomic nervous system activation, which increases the risk of cardiovascular diseases, particularly for people with high noise sensitivity.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"234 - 248"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47147391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This article analyses the most recent studies on urban traffic noise. About 67 relevant articles on urban road traffic noise and its mitigation strategies were preferred for a critical review. Only 5.97% of items describe how to monitor and record the noise measurement for urban roads, while 7.46% of articles enumerated urban traffic noise pollution exposure. 29.85% of articles proposed a model to evaluate noise reduction effects and predict the noise level. Also, many articles reported noise map generation and its analysis. 56.71% of articles described the noise mitigation strategies in detail, concerning noise control by green vegetation, land use planning, low noise tire and pavement material, noise reduction through façade shielding. Noise pollution standards are being breached in all areas. There is a need for the proper implementation of rules and regulations. Therefore, noise mitigation strategies such as designing noise barriers and other noise control materials are needed. Finally, it is summarized that economic and low-cost optimized noise pollution mitigation strategies like ingeniously made noise barriers, vegetation and landscaping are need of the hour for urban areas of developing countries.
{"title":"Urban road traffic noise monitoring, mapping, modelling, and mitigation: A thematic review","authors":"Ramesh B. Ranpise, B. Tandel","doi":"10.1515/noise-2022-0004","DOIUrl":"https://doi.org/10.1515/noise-2022-0004","url":null,"abstract":"Abstract This article analyses the most recent studies on urban traffic noise. About 67 relevant articles on urban road traffic noise and its mitigation strategies were preferred for a critical review. Only 5.97% of items describe how to monitor and record the noise measurement for urban roads, while 7.46% of articles enumerated urban traffic noise pollution exposure. 29.85% of articles proposed a model to evaluate noise reduction effects and predict the noise level. Also, many articles reported noise map generation and its analysis. 56.71% of articles described the noise mitigation strategies in detail, concerning noise control by green vegetation, land use planning, low noise tire and pavement material, noise reduction through façade shielding. Noise pollution standards are being breached in all areas. There is a need for the proper implementation of rules and regulations. Therefore, noise mitigation strategies such as designing noise barriers and other noise control materials are needed. Finally, it is summarized that economic and low-cost optimized noise pollution mitigation strategies like ingeniously made noise barriers, vegetation and landscaping are need of the hour for urban areas of developing countries.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"48 - 66"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48004848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This study presents the results of a traffic simulation analysis and emissions (greenhouse gas and noise) assessment comparing pre-pandemic (2019) and post-pandemic (2022) periods. The estimation of road traffic demand is based on conventional data sources and floating car data; next, the traffic simulation procedure was performed providing road network traffic volumes, which are the input for the emission models. The diffusion of teleworking, e-commerce, as well as the digitization of many processes, services and activities, lead to a significant change in urban mobility. Results show a significant though still not complete resumption of commuters travel activity (−10% compared to pre-pandemic period) in the morning peak-hour. This translates into an 11% reduction of greenhouse gas emissions and a 0.1% increase in noise emissions.
{"title":"Comparing pre- and post-pandemic greenhouse gas and noise emissions from road traffic in Rome (Italy): a multi-step approach","authors":"F. Aletta, A. Gemma, L. Mannini, S. M. Patella","doi":"10.1515/noise-2022-0161","DOIUrl":"https://doi.org/10.1515/noise-2022-0161","url":null,"abstract":"Abstract This study presents the results of a traffic simulation analysis and emissions (greenhouse gas and noise) assessment comparing pre-pandemic (2019) and post-pandemic (2022) periods. The estimation of road traffic demand is based on conventional data sources and floating car data; next, the traffic simulation procedure was performed providing road network traffic volumes, which are the input for the emission models. The diffusion of teleworking, e-commerce, as well as the digitization of many processes, services and activities, lead to a significant change in urban mobility. Results show a significant though still not complete resumption of commuters travel activity (−10% compared to pre-pandemic period) in the morning peak-hour. This translates into an 11% reduction of greenhouse gas emissions and a 0.1% increase in noise emissions.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"204 - 210"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43177526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Licitra, Matteo Bolognese, C. Chiari, Stefano Carpita, Luca Fredianelli
Abstract Environmental noise prevention starts from strategic noise maps of main transport infrastructures and agglomerations. Graduated colors are representative of the average noise levels produced in space by each individual source, or the by the overall sum. Among their purposes, communication of results to population has been the most neglected. The present paper proposes predominance maps for the first time in environmental acoustic (NSP). NSP are visualization tool showing the predominant source in each point by means of polygons and colors. Also Intensity Noise Source Predominance maps (I-NSP) are proposed, which add visualizations of noise exposure levels to NSP by coloring the polygons according to a color-scale. Both NSP and I-NSP are new visualization that would help understanding and assigning responsibilities for exceeding limits, but they also represent a valid support for locating the acoustic monitoring stations when required. As case studies, the maps are calculated in port areas, as they are large areas with a great variability of different types of noise sources and represent a smaller case than agglomeration, but with higher complexity.
{"title":"Noise Source Predominance Map: a new representation for strategic noise maps","authors":"G. Licitra, Matteo Bolognese, C. Chiari, Stefano Carpita, Luca Fredianelli","doi":"10.1515/noise-2022-0163","DOIUrl":"https://doi.org/10.1515/noise-2022-0163","url":null,"abstract":"Abstract Environmental noise prevention starts from strategic noise maps of main transport infrastructures and agglomerations. Graduated colors are representative of the average noise levels produced in space by each individual source, or the by the overall sum. Among their purposes, communication of results to population has been the most neglected. The present paper proposes predominance maps for the first time in environmental acoustic (NSP). NSP are visualization tool showing the predominant source in each point by means of polygons and colors. Also Intensity Noise Source Predominance maps (I-NSP) are proposed, which add visualizations of noise exposure levels to NSP by coloring the polygons according to a color-scale. Both NSP and I-NSP are new visualization that would help understanding and assigning responsibilities for exceeding limits, but they also represent a valid support for locating the acoustic monitoring stations when required. As case studies, the maps are calculated in port areas, as they are large areas with a great variability of different types of noise sources and represent a smaller case than agglomeration, but with higher complexity.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"269 - 279"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47794987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samuele Schiavoni, F. D’Alessandro, G. Baldinelli, C. Turrioni, C. Schenone, D. Borelli, G. Marsico
Abstract The paper reports the main contents of the guidelines developed in the framework of the project ANCHOR, acronym of Advanced Noise Control strategies in HarbOuR, which is a European Project funded as part of the announcement Life 2017. The guidelines represent an updated version of those elaborated in the NoMEPorts project named ‘Good Practice Guide on Port Area Noise Mapping and Management’; the aim is to define a common approach in port noise monitoring and assessment, considering the outcomes of previous EU funded projects and the algorithms defined by the European Directive 2015/996, in order to produce Port Noise Impact Assessments to be included in ports Environmental Management Systems (EMS). The procedures described in the guidelines will guide professionals in organizing and managing geographical data, in characterizing noise sources and defining, for each of them, the correct noise emission power level, in evaluating noise propagation and people exposure to noise and, finally, in selecting the most efficient mitigation action by means of a cost benefit analysis. Moreover, the paper reports the results of a comparison between noise mapping outcomes obtained using the new noise mapping algorithms defined by the 2015/996 Directive and the old 2002/49/EC Annex II ones; especially at long distances from the source the differences between the two methodologies are not negligible.
{"title":"Guidelines for a common port noise impact assessment: the ANCHOR LIFE project","authors":"Samuele Schiavoni, F. D’Alessandro, G. Baldinelli, C. Turrioni, C. Schenone, D. Borelli, G. Marsico","doi":"10.1515/noise-2022-0006","DOIUrl":"https://doi.org/10.1515/noise-2022-0006","url":null,"abstract":"Abstract The paper reports the main contents of the guidelines developed in the framework of the project ANCHOR, acronym of Advanced Noise Control strategies in HarbOuR, which is a European Project funded as part of the announcement Life 2017. The guidelines represent an updated version of those elaborated in the NoMEPorts project named ‘Good Practice Guide on Port Area Noise Mapping and Management’; the aim is to define a common approach in port noise monitoring and assessment, considering the outcomes of previous EU funded projects and the algorithms defined by the European Directive 2015/996, in order to produce Port Noise Impact Assessments to be included in ports Environmental Management Systems (EMS). The procedures described in the guidelines will guide professionals in organizing and managing geographical data, in characterizing noise sources and defining, for each of them, the correct noise emission power level, in evaluating noise propagation and people exposure to noise and, finally, in selecting the most efficient mitigation action by means of a cost benefit analysis. Moreover, the paper reports the results of a comparison between noise mapping outcomes obtained using the new noise mapping algorithms defined by the 2015/996 Directive and the old 2002/49/EC Annex II ones; especially at long distances from the source the differences between the two methodologies are not negligible.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"89 - 108"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45393137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Jasim, A. H. Iswanto, A. Jalil, Ngakan Ketut Acwin Dwijendra, H. H. Kzar, Muhaned Zaidi, Wanich Suksatan, Khaldoon T. Falih, O. Alkadir, Yasser Fakri Mustafa
Abstract Noise pollution is one of the environmental factors that severely threaten humans’ mental, emotional, and physical health. One of the most significant sources of this pollution is the noise generated by traffic and urban transportation, mainly the urban railway. This paper assessed noise pollution at stations, passenger cars, and the train operator’s cabin. Four consecutive Baghdad subway stations were used to collect information. There were three modes of measurement: entering the station, stopping at the station, and leaving the station. Leq (equivalent continuous noise level) at station 3 is more significant than at three other stations, confirming that the initial hypothesis regarding the noise pollution rate was correct. Among the studied stations, Station 1 was the quietest. The stations with the highest and lowest Leq values are 3 and 2, respectively. The Leq values recorded in the cabin are within the permissible range. The highest Leq value measured at station 3 is 81.87 dB(A), and the lowest Leq value measured at station 2 is 61.24 dB(A). The operator’s cabin at station 3 has the highest measured Leq of 70.26 dB(A), and station 1 has the lowest measured Leq of 61.5 dB(A). While the measured value in the operator’s cabin was within the acceptable range, the noise levels in the wagons were above standard.
{"title":"Noise pollution in rail transport. Case study: Baghdad subway","authors":"S. Jasim, A. H. Iswanto, A. Jalil, Ngakan Ketut Acwin Dwijendra, H. H. Kzar, Muhaned Zaidi, Wanich Suksatan, Khaldoon T. Falih, O. Alkadir, Yasser Fakri Mustafa","doi":"10.1515/noise-2022-0007","DOIUrl":"https://doi.org/10.1515/noise-2022-0007","url":null,"abstract":"Abstract Noise pollution is one of the environmental factors that severely threaten humans’ mental, emotional, and physical health. One of the most significant sources of this pollution is the noise generated by traffic and urban transportation, mainly the urban railway. This paper assessed noise pollution at stations, passenger cars, and the train operator’s cabin. Four consecutive Baghdad subway stations were used to collect information. There were three modes of measurement: entering the station, stopping at the station, and leaving the station. Leq (equivalent continuous noise level) at station 3 is more significant than at three other stations, confirming that the initial hypothesis regarding the noise pollution rate was correct. Among the studied stations, Station 1 was the quietest. The stations with the highest and lowest Leq values are 3 and 2, respectively. The Leq values recorded in the cabin are within the permissible range. The highest Leq value measured at station 3 is 81.87 dB(A), and the lowest Leq value measured at station 2 is 61.24 dB(A). The operator’s cabin at station 3 has the highest measured Leq of 70.26 dB(A), and station 1 has the lowest measured Leq of 61.5 dB(A). While the measured value in the operator’s cabin was within the acceptable range, the noise levels in the wagons were above standard.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"113 - 119"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42553217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Noise, defined as unwanted or misplaced sound, produces negative impacts on people’s health and well-being and is a growing concern of health authorities, administrators, educators. Some reviews of the legislative and regulatory scenarios, show a clear lack of consideration of the non-auditory effects produced by exposure to noise and poor acoustic quality in the workplace, this paper refers to experiences and methods aimed at understanding the different aspects of risk. Non-auditory aspects are added to the auditory ones, considered at the moment as the only area of noise risk assessment. The acute extra-auditory effects from exposure to noise are also studied. Among the risk-enhancing factors we consider the negative synergy between noise and air pollution. Analysis of industrial noise at operator’s positions of different industrial sites was carried out. The results of measurements are allowing determine positions with significant excesses of the sanitary standards of noise levels and valid sanitary norms. Especially significant noise values were observed in low frequency range. Maps of noise levels at working places of different industrial sites were developed.
{"title":"Auditory and non-auditory effects, monitoring and mapping of occupational exposure to noise","authors":"S. Luzzi, A. Vasilyev","doi":"10.1515/noise-2022-0154","DOIUrl":"https://doi.org/10.1515/noise-2022-0154","url":null,"abstract":"Abstract Noise, defined as unwanted or misplaced sound, produces negative impacts on people’s health and well-being and is a growing concern of health authorities, administrators, educators. Some reviews of the legislative and regulatory scenarios, show a clear lack of consideration of the non-auditory effects produced by exposure to noise and poor acoustic quality in the workplace, this paper refers to experiences and methods aimed at understanding the different aspects of risk. Non-auditory aspects are added to the auditory ones, considered at the moment as the only area of noise risk assessment. The acute extra-auditory effects from exposure to noise are also studied. Among the risk-enhancing factors we consider the negative synergy between noise and air pollution. Analysis of industrial noise at operator’s positions of different industrial sites was carried out. The results of measurements are allowing determine positions with significant excesses of the sanitary standards of noise levels and valid sanitary norms. Especially significant noise values were observed in low frequency range. Maps of noise levels at working places of different industrial sites were developed.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"146 - 156"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45860917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chiara Bartalucci, Raffaella Bellomini, S. Luzzi, Paola Pulella, G. Iannuzzi, Giulia Torelli
Abstract The rapid habitual changes induced by the emergence of the COVID-19 pandemic first and the end of the most restrictive phase coinciding with the lock-down later resulted in significant changes, also occurred at an environmental level and, specifically, with regard to the perception of the soundscape in all European countries. The seek for knowledge underlying the research illustrated in this article concerned whether or not the perception of the soundscape following the almost normal resumption of daily activities had returned to that of the period before the restrictions came into force. This article illustrates how an online questionnaire structured in 16 questions was designed and administered to a sample of Italian citizens, in order to understand whether and how the habits of the respondents had changed in the three reference time periods (before the pandemic spread, the period marked by lock-down or other restrictions in early 2020 and the period afterwards) and their perception of the perceived soundscape of the place where they spend most of their days. A total of around 70 questionnaires distributed throughout Italy were collected and analysed. The results obtained, through the use of descriptive statistical analyses and logistic models, are also presented in this article.
{"title":"A renewed perception of living environments after restrictions due to pandemic in Italy","authors":"Chiara Bartalucci, Raffaella Bellomini, S. Luzzi, Paola Pulella, G. Iannuzzi, Giulia Torelli","doi":"10.1515/noise-2022-0155","DOIUrl":"https://doi.org/10.1515/noise-2022-0155","url":null,"abstract":"Abstract The rapid habitual changes induced by the emergence of the COVID-19 pandemic first and the end of the most restrictive phase coinciding with the lock-down later resulted in significant changes, also occurred at an environmental level and, specifically, with regard to the perception of the soundscape in all European countries. The seek for knowledge underlying the research illustrated in this article concerned whether or not the perception of the soundscape following the almost normal resumption of daily activities had returned to that of the period before the restrictions came into force. This article illustrates how an online questionnaire structured in 16 questions was designed and administered to a sample of Italian citizens, in order to understand whether and how the habits of the respondents had changed in the three reference time periods (before the pandemic spread, the period marked by lock-down or other restrictions in early 2020 and the period afterwards) and their perception of the perceived soundscape of the place where they spend most of their days. A total of around 70 questionnaires distributed throughout Italy were collected and analysed. The results obtained, through the use of descriptive statistical analyses and logistic models, are also presented in this article.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"189 - 203"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42556577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. D’Alessandro, Paola Di Mascio, Lorenzo Lombardi, Benedetta Ridolfi
Abstract The aim of the paper is to define a method for evaluating infrastructural interventions for the mitigation of noise generated by roads based on multi-criteria analysis which considers a series of parameters (environmental, social, economic and health) that could give broader evaluations than just economic convenience. The research develops a guideline based on an already known methodology applied in other fields, which has been adapted to the above-mentioned topic: the multi-criteria analysis. The decision to use this method originates from an in-depth study of the state of the art regarding the issue of noise pollution related to transport infrastructures in Italy and at a European level. The Multi-criteria Analysis proved to be the best solution both for completeness and versatility. In particular, the developed methodology uses the Analytic Hierarchy Process as a multi-criteria analysis method. Through its hierarchical structure, this method offers a comparison not only between possible interventions, but also between the same criteria taken into consideration for the choice of the best intervention. The model was validated by analyzing a real noise mitigation project on an Italian main road. The results showed how the model could represent a valid support to decision-making processes.
{"title":"Methodology for the identification of economic, environmental and health criteria for road noise mitigation","authors":"F. D’Alessandro, Paola Di Mascio, Lorenzo Lombardi, Benedetta Ridolfi","doi":"10.1515/noise-2022-0002","DOIUrl":"https://doi.org/10.1515/noise-2022-0002","url":null,"abstract":"Abstract The aim of the paper is to define a method for evaluating infrastructural interventions for the mitigation of noise generated by roads based on multi-criteria analysis which considers a series of parameters (environmental, social, economic and health) that could give broader evaluations than just economic convenience. The research develops a guideline based on an already known methodology applied in other fields, which has been adapted to the above-mentioned topic: the multi-criteria analysis. The decision to use this method originates from an in-depth study of the state of the art regarding the issue of noise pollution related to transport infrastructures in Italy and at a European level. The Multi-criteria Analysis proved to be the best solution both for completeness and versatility. In particular, the developed methodology uses the Analytic Hierarchy Process as a multi-criteria analysis method. Through its hierarchical structure, this method offers a comparison not only between possible interventions, but also between the same criteria taken into consideration for the choice of the best intervention. The model was validated by analyzing a real noise mitigation project on an Italian main road. The results showed how the model could represent a valid support to decision-making processes.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"10 - 22"},"PeriodicalIF":2.8,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43727342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sergey V. Kuznetsov, W. Siswanto, F. Sabirova, I. Pustokhina, Lucia Balejčíková, R. Zakieva, M. Nomani, Ferry Fadzlul Rahman, Ismail Husein, Lakshmi Thangavelu
Abstract Noise is considered one of the most critical environmental issues because it endangers the health of living organisms. For this reason, up-to-date knowledge seeks to find the causes of noise in various industries and thus prevent it as much as possible. Considering the development of railway lines in underdeveloped countries, identifying and modeling the causes of vibrations and noise of rail transportation is of particular importance. The evaluation of railway performance cannot be imagined without measuring and managing noise. This study tried to model the maximum A-weighted noise pressure level with the information obtained from field measurements by Emotional artificial neural network (EANN) models and compare the results with linear and logarithmic regression models. The results showed the high efficiency of EANN models in noise prediction so that the prediction accuracy of 95.6% was reported. The results also showed that in noise prediction based on the neural network-based model, the independent variables of train speed and distance from the center of the route are essential in predicting.
{"title":"Emotional artificial neural network (EANN)-based prediction model of maximum A-weighted noise pressure level","authors":"Sergey V. Kuznetsov, W. Siswanto, F. Sabirova, I. Pustokhina, Lucia Balejčíková, R. Zakieva, M. Nomani, Ferry Fadzlul Rahman, Ismail Husein, Lakshmi Thangavelu","doi":"10.1515/noise-2022-0001","DOIUrl":"https://doi.org/10.1515/noise-2022-0001","url":null,"abstract":"Abstract Noise is considered one of the most critical environmental issues because it endangers the health of living organisms. For this reason, up-to-date knowledge seeks to find the causes of noise in various industries and thus prevent it as much as possible. Considering the development of railway lines in underdeveloped countries, identifying and modeling the causes of vibrations and noise of rail transportation is of particular importance. The evaluation of railway performance cannot be imagined without measuring and managing noise. This study tried to model the maximum A-weighted noise pressure level with the information obtained from field measurements by Emotional artificial neural network (EANN) models and compare the results with linear and logarithmic regression models. The results showed the high efficiency of EANN models in noise prediction so that the prediction accuracy of 95.6% was reported. The results also showed that in noise prediction based on the neural network-based model, the independent variables of train speed and distance from the center of the route are essential in predicting.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"9 1","pages":"1 - 9"},"PeriodicalIF":2.8,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48723522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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