Smartphone-Based Participatory Soundscape Mapping for a More Sustainable Acoustic Environment

The urban environmental planning, a fundamental dynamic process for cities’ sustainability, could benefit from the soundscape approach, dealing with the perception of the acoustic environment in which sound is considered as a resource rather than a waste (noise). Noise and soundscape maps are useful tools for planning mitigation actions and for communication with citizens. Both mappings can benefit from crowdsourcing and participatory sound monitoring that has been made possible due to the large use of internet connections and mobile devices with dedicated apps. This paper is a “scoping review” to provide an overview of the potential, benefits, and drawbacks of participatory noise monitoring in noise and soundscape mapping applications, while also referring to metrological aspects. Gathering perceptual data on soundscapes by using digital questionnaires will likely be more commonly used than printed questionnaires; thus, the main differences between the experimental protocols concern the measurement of acoustic data. The authors propose to classify experimental protocols for in-field soundscape surveys into three types (GUIDE, MONITOR, and SMART) to be selected according to the survey’s objectives and the territorial extension. The main future developments are expected to be related to progress in smartphone hardware and software, to the growth of social networks data analysis, as well as to the implementation of machine learning techniques.

[1]  Hao Xia,et al.  Mapping Urban Environmental Noise Using Smartphones , 2016, Sensors.

[2]  Massimiliano Masullo,et al.  Urban Soundscapes: Characterization of a Pedestrian Tourist Route in Sorrento (Italy) , 2016 .

[3]  Catherine Lavandier,et al.  A study of the accuracy of mobile technology for measuring urban noise pollution in large scale participatory sensing campaigns , 2017 .

[4]  Georgios K. Ouzounis,et al.  Smart cities of the future , 2012, The European Physical Journal Special Topics.

[5]  Dietrich Henckel,et al.  Citizens as smart, active sensors for a quiet and just city. The case of the “open source soundscapes” approach to identify, assess and plan “everyday quiet areas” in cities , 2018 .

[6]  Arnaud Can,et al.  Noise mapping based on participative measurements , 2016 .

[7]  Luigi Maffei,et al.  Representation of the soundscape quality in urban areas through colours , 2019, Noise Mapping.

[8]  Eja Pedersen,et al.  The Role of Soundscape in Nature-Based Rehabilitation: A Patient Perspective , 2016, International journal of environmental research and public health.

[9]  Oliver Bones,et al.  Sound Categories: Category Formation and Evidence-Based Taxonomies , 2018, Front. Psychol..

[10]  Rossano Schifanella,et al.  Chatty maps: constructing sound maps of urban areas from social media data , 2016, Royal Society Open Science.

[11]  André Fiebig,et al.  A Review of Socio-acoustic Surveys for Soundscape Studies , 2018, Current Pollution Reports.

[12]  Catherine Lavandier,et al.  Urban soundscape maps modelled with geo-referenced data , 2016 .

[13]  Andrew Mitchell,et al.  The Soundscape Indices (SSID) Protocol: A Method for Urban Soundscape Surveys—Questionnaires with Acoustical and Contextual Information , 2020, Applied Sciences.

[14]  E. Hand,et al.  Citizen science: People power , 2010, Nature.

[15]  Jian Kang,et al.  Towards standardization in soundscape preference assessment , 2011 .

[16]  Wen Hu,et al.  Ear-Phone: A context-aware noise mapping using smart phones , 2013, Pervasive Mob. Comput..

[17]  Mario A. Bochicchio,et al.  Crowd-sensing our Smart Cities: a Platform for Noise Monitoring and Acoustic Urban Planning , 2017 .

[18]  Metod Celestina,et al.  Smartphone-based sound level measurement apps: Evaluation of compliance with international sound level meter standards , 2018, Applied Acoustics.

[19]  Salil S. Kanhere,et al.  A survey on privacy in mobile participatory sensing applications , 2011, J. Syst. Softw..

[20]  Juan-Carlos Cano,et al.  A Survey on Smartphone-Based Crowdsensing Solutions , 2016, Mob. Inf. Syst..

[21]  Jian Kang,et al.  A model for implementing soundscape maps in smart cities , 2018 .

[22]  Jian Kang,et al.  The Impact and Outreach of Soundscape Research , 2018 .

[23]  Luca Evangelisti,et al.  Exploring the compatibility of “Method A” and “Method B” data collection protocols reported in the ISO/TS 12913-2:2018 for urban soundscape via a soundwalk , 2019 .

[24]  Brigitte Schulte-Fortkamp,et al.  Exploring Our Sonic Environment Through Soundscape Research & Theory , 2014 .

[25]  Jin Yong Jeon,et al.  Exploring spatial relationships among soundscape variables in urban areas: A spatial statistical modelling approach , 2017 .

[26]  Ioannis N. Athanasiadis,et al.  Privacy-preserving computation of participatory noise maps in the cloud , 2014, J. Syst. Softw..

[27]  Juan-Carlos Cano,et al.  Accurate Ambient Noise Assessment Using Smartphones , 2017, Sensors.

[28]  I. Aspuru,et al.  CITI-SENSE: methods and tools for empowering citizens to observe acoustic comfort in outdoor public spaces , 2016 .

[29]  M. Southworth The Sonic Environment of Cities , 1969 .

[30]  Jian Kang,et al.  Soundscape descriptors and a conceptual framework for developing predictive soundscape models , 2016 .

[31]  Jian Kang,et al.  Effect of soundscape dimensions on acoustic comfort in urban open public spaces , 2018 .

[32]  B. Berglund,et al.  A principal components model of soundscape perception. , 2010, The Journal of the Acoustical Society of America.

[33]  Aimilia Karapostoli,et al.  Urban soundscapes in the historic centre of Thessaloniki: sonic architecture and sonic identity , 2018, Sound Studies.

[34]  B. Berglund,et al.  Soundscape quality in suburban green areas and city parks. , 2006 .

[35]  Dick Botteldooren,et al.  On the ability of consumer electronics microphones for environmental noise monitoring. , 2011, Journal of environmental monitoring : JEM.

[36]  Kian Meng Lim,et al.  An averaging method for accurately calibrating smartphone microphones for environmental noise measurement , 2019, Applied Acoustics.

[37]  Francesc Alías,et al.  Review of Wireless Acoustic Sensor Networks for Environmental Noise Monitoring in Smart Cities , 2019, J. Sensors.

[38]  Francesco Asdrubali,et al.  Innovative Approaches for Noise Management in Smart Cities: a Review , 2018, Current Pollution Reports.

[39]  Pierre Aumond,et al.  An open-science crowdsourcing approach for producing community noise maps using smartphones , 2019, Building and Environment.

[40]  Jian Kang,et al.  Soundscape mapping in environmental noise management and urban planning: case studies in two UK cities , 2017 .

[41]  Klaus Genuit,et al.  Prediction of Psychoacoustic Parameters , 2005 .

[42]  D. Levitin,et al.  Ecological validity of soundscape reproduction , 2004 .

[43]  Jian Kang,et al.  Assessing the changing urban sound environment during the COVID-19 lockdown period using short-term acoustic measurements , 2020 .

[44]  Peter B Shaw,et al.  Evaluation of smartphone sound measurement applications. , 2014, The Journal of the Acoustical Society of America.

[45]  Eoin A. King,et al.  Testing the accuracy of smartphones and sound level meter applications for measuring environmental noise , 2016 .

[46]  Judicaël Picaut,et al.  Collaborative noise data collected from smartphones , 2017, Data in brief.

[47]  Peter B Shaw,et al.  Evaluation of smartphone sound measurement applications (apps) using external microphones-A follow-up study. , 2016, The Journal of the Acoustical Society of America.

[48]  Marc Green,et al.  Environmental sound monitoring using machine learning on mobile devices , 2020, Applied Acoustics.