Pervasive Computing and Communications Workshops
(San Diego, CA, Mar. 18–22). IEEE, Piscataway, NJ,
670–675.
25. Salamon, J. and Bello, J. Deep convolutional neural
networks and data augmentation for environmental
sound classification. IEEE Signal Processing Letters
24, 3 (Mar. 2017), 279–283.
26. Salamon, J., Jacoby, C., and Bello, J.P. A dataset and
taxonomy for urban sound research. In Proceedings of
the 22nd ACM International Conference on Multimedia
(Orlando, FL, Nov. 3–7). ACM Press, New York, 2014.
27. Salamon, J., McConnell, D., Cartwright, M., Li, P.,
and Bello, J. SCAPER: A library for soundscape
synthesis and augmentation. In Proceedings of the
IEEE Workshop on Applications of Signal Processing
to Audio and Acoustics (Mohonk, New Paltz, NY, Oct.
15–18). IEEE, Piscataway, NJ, 2017.
28. Schweizer, I., Meurisch, C., Gedeon, J., Bärtl, R.,
and Mühlhäuser, M. Noisemap: Multi-tier incentive
mechanisms for participative urban sensing. In
Proceedings of the Third International Workshop on
Sensing Applications on Mobile Phones (Toronto, ON,
Canada, Nov. 6–9). ACM Press, New York, 2012, 9.
29. Steele, D., Krijnders, D., and Guastavino, C. The Sensor
City Initiative: Cognitive sensors for soundscape
transformations. In Proceedings of GIS Ostrava 2013:
Geoinformatics for City Transformation (Ostrava,
Czech Republic, Jan. 21–23). Technical University of
Ostrava, 2013.
30. Theebe, M. A. Planes, trains, and automobiles: The
impact of traffic noise on house prices. The Journal
of Real Estate Finance and Economics 28, 2–3 (Mar.
2004), 209–234.
Juan Pablo Bello ( jpbello@nyu.edu) is a professor of
music technology and computer science and engineering
at New York University, New York, USA, and director of the
Center for Urban Science of Progress and of the Music and
Audio Research Laboratory.
Claudio Silva ( csilva@nyu.edu) is a professor of computer
science and engineering and data science at New York
University, New York, USA.
Oded Nov ( onov@nyu.edu) is an associate professor of
technology management and innovation at New York
University, New York, USA.
R. Luke DuBois ( dubois@nyu.edu) is co-director and an
associate professor of integrated digital media at New
York University, New York, USA.
Anish Arora ( arora.9@osu.edu) is a professor of computer
science and engineering at The Ohio State University,
Columbus, OH, USA.
Justin Salamon ( justin.salamon@nyu.edu) is a senior
research scientist at the Music and Audio Research
Laboratory and the Center for Urban Science and Progress
at New York University, New York, USA.
Charles Mydlarz ( cmydlarz@nyu.edu) is a senior
research scientist at the Music and Audio Research
Laboratory and the Center for Urban Science and Progress
at New York University, New York, USA.
Harish Doraiswamy ( harishd@nyu.edu) is a research
assistant professor of computer science and engineering
and a research scientist at the Center for Data Science at
New York University, New York, USA.
Copyright held by authors.
ronment, they will be better equipped
to voice their concerns when interacting with city authorities.
Conclusion
SONYC is a smart-cities, next-gener-ation application of a cyber-physical
system. Its development calls for innovation in various fields of computing and engineering, including
sensor networks, machine learning,
human-computer interaction, citizen
science, and data science. The technology will be able to support novel
scholarly work on the effects of noise
pollution on public health, public
policy, environmental psychology,
and economics. But the project is far
from purely scholarly. By seeking to
improve urban-noise mitigation, a
critical quality-of-life issue, SONYC
promises to benefit urban citizens
worldwide. Our agenda calls for the
system to be deployed, tested, and
used in real-world urban conditions,
potentially resulting in a model that
can be scaled and replicated throughout the U.S. and beyond.
Acknowledgments
This work is supported in part by the
National Science Foundation (Award
# 1544753), NYU’s Center for Urban
Science and Progress, NYU’s Tandon
School of Engineering, and the Translational Data Analytics Institute at The
Ohio State University.
References
1. Ausejo, M., Recuero, M., Asensio, C., Pavón, I., and
Pagán, R. Study of uncertainty in noise mapping. In
Proceedings of 39th International Congress on Noise
Control Engineering, Internoise (Lisbon, Portugal,
June 13–16). Portuguese Acoustical Society, Lisbon,
2010, 6210–6219.
2. Basner, M., Babisch, W., Davis, A., Brink, M., Clark,
C., Janssen, S., and Stansfeld, S. Auditory and non-auditory effects of noise on health. The Lancet 383,
9925 (Apr. 2014), 1325–1332.
3. Becker, M., Caminiti, S., Fiorella, D., Francis, L.,
Gravino, P., Haklay, M. M., Hotho, A., Loreto, V.,
Mueller, J., Ricchiuti, F. et al. Awareness and learning
in participatory noise sensing. PloS One 8, 12 (Dec.
2013), 1–12.
4. Bell, M.C. and Galatioto, F. Novel wireless pervasive
sensor network to improve the understanding of noise
in street canyons. Applied Acoustics 74, 1 (Jan. 2013),
169–180.
5. Bronzaft, A. and Van Ryzin, G. Neighborhood Noise
and Its Consequences: Implications for Tracking
Effectiveness of NYC Revised Noise Code. Special
Report #14. Survey Research Unit, School of Public
Affairs, Baruch College, CUNY, New York, Apr. 2007;
http://www.noiseoff.org/document/cenyc.noise.
report. 14.pdf
6. Cartwright, M., Seals, A., Salamon, J., Williams, A.,
Mikloska, S., McConnell, D., Law, E., Bello, J., and
Nov, O. Seeing sound: Investigating the effects of
visualizations and complexity on crowdsourced
audio annotations. In Proceedings of the 21st ACM
Conference on Computer-Supported Cooperative
Work and Social Computing (Jersey City, NJ, Nov.
3–7). ACM Press, New York, 2018, 29:1–29: 21.
7. Doraiswamy, H., Ferreira, N., Damoulas, T., Freire,
J., and Silva, C. T. Using topological analysis to
support event-guided exploration in urban data. IEEE
Transactions on Visualization and Computer Graphics
20, 12 (Dec. 2014), 2634–2643.
8. Fekete, J.-D. and Silva, C. Managing data for visual
analytics: Opportunities and challenges. IEEE Data
Engineering Bulletin 35, 3 (Sept. 2012), 27–36.
9. Ferreira, N., Lage, M., Doraiswamy, H., Vo, H., Wilson,
L., Werner, H., Park, M.C., and Silva, C. Urbane: A
3D framework to support data-driven decision
making in urban development. In Proceedings of the
IEEE Conference on Visual Analytics Science and
Technology (Chicago, IL, Oct. 25–30), 2015, 97–104.
10. Ferreira, N., Poco, J., Vo, H. T., Freire, J., and Silva, C. T.
Visual exploration of big spatiotemporal urban data: A
study of New York City taxi trips. IEEE Transactions
on Visualization and Computer Graphics 19, 12 (Dec.
2013), 2149–2158.
11. Fritschi, L., Brown, L., Kim, R., Schwela, D.,
and Kephalopolos, S. Burden of disease from
environmental noise: Quantification of healthy
years life lost in Europe. World Health Organization,
Bonn, Germany, 2012; http://www.euro.who.int/en/
publications/abstracts/burden-of-disease-from-environmental-noise.-quantification-of-healthy-life-years-lost-in-europe
12. Hammer, M. S., Swinburn, T. K., and Neitzel, R. L.
Environmental noise pollution in the United States:
Developing an effective public health response.
Environmental Health Perspectives 122, 2 (Feb. 2014),
115–119.
13. Kaliski, K., Duncan, E., and Cowan, J. Community and
regional noise mapping in the United States. Sound
and Vibration 41, 9 (Sept. 2007), 12.
14. Maibach, M., Schreyer, C., Sutter, D., Van Essen, H.,
Boon, B., Smokers, R., Schroten, A., Doll, C., Pawlowska,
B., and Bak, M. Handbook on estimation of external
costs in the transport sector. CE Delft, Feb. 2008;
https://ec.europa.eu/transport/sites/transport/files/
themes/sustainable/doc/2008_costs_handbook.pdf
15. Manvell, D., Marcos, L.B., Stapelfeldt, H., and Sanzb,
R. SADMAM—Combining measurements and
calculations to map noise in Madrid. In Proceedings
of the 33rd Congress and Exposition on Noise Control
Engineering (Internoise) (Prague, Czech Republic, Aug.
22–25). Institute of Noise Control Engineering, Reston,
VA, 2004.
16. Mizutani, F., Suzuki, Y., and Sakai, H. Estimation of
social costs of transport in Japan. Urban Studies 48,
16 (Apr. 2011), 3537–3559.
17. Murphy, E. and King, E. Strategic environmental
noise mapping: Methodological issues concerning
the implementation of the EU Environmental Noise
Directive and their policy implications. Environment
International 36, 3 (Apr. 2010), 290–298.
18. Mydlarz, C., Salamon, J., and Bello, J. The
implementation of low-cost urban acoustic monitoring
devices. Applied Acoustics, Special Issue on Acoustics
for Smart Cities 117, B (Feb. 2017), 207–218.
19. Mydlarz, C., Shamoon, C., and Bello, J. Noise
monitoring and enforcement in New York City using
a remote acoustic sensor network. In Proceedings
of the IN TER-NOISE and NOISE CON Congress and
Conference (Hong Kong, China, Aug. 27–30). Institute
of Noise Control Engineering, Reston, VA, 2017.
20. National Academy of Engineering. Technology for a
Quieter America: NAEPR-06-01-A. Technical Report.
The National Academies Press, Washington, D. C.,
Sept. 2010; https://www.nap.edu/catalog/12928/
Technology-for-a-quieter-america
21. Nelson, J. P. Highway noise and property values:
A survey of recent evidence. Journal of Transport
Economics and Policy 16, 2 (May 1982), 117–138.
22. New York City Department of Health and Mental
Hygiene. Ambient Noise Disruption in New York City,
Data Brief 45. New York City Department of Health
and Mental Hygiene, Apr. 2014; https://www1.nyc.gov/
assets/doh/downloads/pdf/epi/databrief45.pdf
23. Pham, C. and Cousin, P. Streaming the sound of smart
cities: Experimentations on the SmartSantander testbed. In Proceedings of IEEE International Conference
on Green Computing and Communications, IEEE
Internet of Things, and IEEE Cyber, Physical and
Social Computing (Beijing, China, Aug. 20–23). IEEE,
Piscataway, NJ, 2013, 611–618.
24. Ruge, L., Altakrouri, B., and Schrader, A. Sound of the
city: Continuous noise monitoring for a healthy city. In
Proceedings of the IEEE International Conference on
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