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Mobile crowd-sensing as a resource for contextualized urban public policies: a study using three use cases on noise and soundscape monitoring
Copyright policy )Mobile crowd-sensing as a resource for contextualized urban public policies: a study using three use cases on noise and soundscape monitoring
International audience; Environmental noise is a major pollutant in contemporary cities and calls for the ac-10 tive monitoring of noise levels to spot the locations where it most affects the people's health and well-being. However, due to the complex relationship between environmental noise and its perception by the citizens, it is not sufficient to quantitatively measure environmental noise. We need to collect and aggregate contextualized-both quantitative and qualitative-data about the urban environmental noise so as to be 15 able to study the objective and subjective relationships between sound and living beings. This complex knowledge is a prerequisite for making efficient territorial public policies for soundscapes that are inclined towards living beings welfare. In this paper, we investigate how Mobile Phone Sensing (MPS)-aka crowdsensing-enables the gathering of such knowledge, provided the implementation of sensing protocols 20 that are customized according to the context of use and the intended exploitation of the data. Through three case studies that we carried out in France and Finland, we show that MPS is not solely a tool that contributes to sensitizing citizens and decision-makers about noise pollution; it also contributes to increasing our knowledge about the impact of the environmental noise on people's health and well-being 25 in relation to its physical and subjective perception.
Microsoft Academic Graph classification: Soundscape Resource (biology) Public policy Use case Environmental noise Environmental planning Active monitoring Noise Geography Urban health
[SHS.INFO]Humanities and Social Sciences/Library and information sciences, Well-being, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS/K.6.1: Project and People Management, Environmental Noise, Crowd-sensing, [INFO.INFO-MC]Computer Science [cs]/Mobile Computing, Noise maps, Mobile Phone Sensing, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS/K.6.1: Project and People Management/K.6.1.3: Strategic information systems planning, Ambiciti, Urban Health, Public Health, Environmental and Occupational Health, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.5: Sound and Music Computing/H.5.5.0: Methodologies and techniques, Urban Studies, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS, Soundscape, [INFO.INFO-ES]Computer Science [cs]/Embedded Systems
[SHS.INFO]Humanities and Social Sciences/Library and information sciences, Well-being, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS/K.6.1: Project and People Management, Environmental Noise, Crowd-sensing, [INFO.INFO-MC]Computer Science [cs]/Mobile Computing, Noise maps, Mobile Phone Sensing, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS/K.6.1: Project and People Management/K.6.1.3: Strategic information systems planning, Ambiciti, Urban Health, Public Health, Environmental and Occupational Health, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.5: Sound and Music Computing/H.5.5.0: Methodologies and techniques, Urban Studies, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS, Soundscape, [INFO.INFO-ES]Computer Science [cs]/Embedded Systems
Microsoft Academic Graph classification: Soundscape Resource (biology) Public policy Use case Environmental noise Environmental planning Active monitoring Noise Geography Urban health
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!
International audience; Environmental noise is a major pollutant in contemporary cities and calls for the ac-10 tive monitoring of noise levels to spot the locations where it most affects the people's health and well-being. However, due to the complex relationship between environmental noise and its perception by the citizens, it is not sufficient to quantitatively measure environmental noise. We need to collect and aggregate contextualized-both quantitative and qualitative-data about the urban environmental noise so as to be 15 able to study the objective and subjective relationships between sound and living beings. This complex knowledge is a prerequisite for making efficient territorial public policies for soundscapes that are inclined towards living beings welfare. In this paper, we investigate how Mobile Phone Sensing (MPS)-aka crowdsensing-enables the gathering of such knowledge, provided the implementation of sensing protocols 20 that are customized according to the context of use and the intended exploitation of the data. Through three case studies that we carried out in France and Finland, we show that MPS is not solely a tool that contributes to sensitizing citizens and decision-makers about noise pollution; it also contributes to increasing our knowledge about the impact of the environmental noise on people's health and well-being 25 in relation to its physical and subjective perception.