The SENSEable Pisa Project: Citizen‐Participation in Monitoring Acoustic Climate of Mediterranean City Centers

The concept of urban sustainability and liveability closely depends on multi-level approaches to environmental issues. The ultimate goal in the field of noise management is to involve citizens and facilitate their participation in urban environmental decisions. The SENSEable Pisa project, based on the concept of Real-Time City and Smart City, presents an acoustic urban monitoring system based on a low-cost data acquisition method for a pervasive outdoor noise measurement. The system is based on the use of noise sensors located on private houses in the centre of Pisa, which provide a good model for the current acoustic climate of Mediterranean city centres. In this study, SENSEable acquisitions show a strong anthropogenic component not revealed by public strategic maps. The anthropogenic component, commonly known as movida, becomes increasingly critical in Mediterranean cities, therefore, it is necessary to explore methods highlighting this new source and to adopt strategies for the creation of reliable noise pollution maps.

[1]  W. Williams,et al.  Clubbing: the cumulative effect of noise exposure from attendance at dance clubs and night clubs on whole-of-life noise exposure. , 2010, Noise & health.

[2]  Jan Grabowski,et al.  Noise map validation by continuous noise monitoring , 2011 .

[3]  Skariyachan Sinosh,et al.  合成アゾ染料とそれにより汚染されたインドKarnatakaの繊維工業廃水に対するPleurotus ostreatus(Jacq.:Fr.)P.Kumm.子実体の分解能の環境アセスメント , 2016 .

[4]  Lígia Torres Silva,et al.  Urban form indicators as proxy on the noise exposure of buildings , 2014 .

[5]  B. K. Swain,et al.  A preliminary assessment of noise level during Deepawali festival in Balasore, India. , 2013, Journal of environmental biology.

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

[7]  Vittorio Loreto,et al.  Awareness and Learning in Participatory Noise Sensing , 2013, PloS one.

[8]  H. Kuttruff A mathematical model for noise propagation between buildings , 1982 .

[9]  Åke Grönlund,et al.  e‐democracy: in search of tools and methods for effective participation , 2003 .

[10]  Carlo Ratti,et al.  Enabling the Real-Time City: LIVE Singapore! , 2012 .

[11]  Maria E. Niessen,et al.  NoiseTube: Measuring and mapping noise pollution with mobile phones , 2009, ITEE.

[12]  Andrzej Czyzewski,et al.  Software for Calculation of Noise Maps Implemented on Supercomputer , 2009 .

[13]  Mark H. Hansen,et al.  Urban sensing: out of the woods , 2008, CACM.

[14]  Katja Hose,et al.  Partout: a distributed engine for efficient RDF processing , 2012, WWW.

[15]  P. Cohen,et al.  The impact of an urban park on air pollution and noise levels in the Mediterranean city of Tel-Aviv, Israel. , 2014, Environmental pollution.

[16]  S. Nicholson,et al.  A pollution model for street-level air. , 1975, Atmospheric environment.

[17]  Giovanni Zambon,et al.  LIFE DYNAMAP project: The case study of Rome , 2017 .

[18]  G Brambilla,et al.  Cluster categorization of urban roads to optimize their noise monitoring , 2015, Environmental Monitoring and Assessment.

[19]  Michael D. Barnes,et al.  Use of Social Media in Health Promotion , 2012, Health promotion practice.