Journal ArticleDOI
Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring
TLDR
This paper provides concrete proof that participatory techniques, when implemented properly, can achieve the same accuracy as standard noise mapping techniques through a citizen science experiment for noise mapping a 1 km2 area in the city of Antwerp using NoiseTube.About:
This article is published in Pervasive and Mobile Computing.The article was published on 2013-10-01. It has received 239 citations till now. The article focuses on the topics: Participatory sensing & Participatory GIS.read more
Citations
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Journal ArticleDOI
Urban and transport planning, environmental exposures and health-new concepts, methods and tools to improve health in cities
TL;DR: While in cities there are often silos of urban planning, mobility and transport, parks and green space, environmental department, (public) health department that do not work together well enough, multi-sectorial approaches are needed to tackle the environmental problems.
Journal ArticleDOI
Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges
TL;DR: In this article, a taxonomy of existing incentive mechanisms for participatory sensing systems, which are subsequently discussed in depth by comparing and contrasting different approaches, is presented, and an agenda of open research challenges in incentivizing users in participatory learning is discussed.
Journal ArticleDOI
Participatory Apps for Urban Planning—Space for Improvement
TL;DR: In this article, a typology that identifies types of mobile applications (apps) supporting citizen participation in urban planning is presented. But the impact of planning apps has yet been modest, but i...
Journal ArticleDOI
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
TL;DR: In this paper, the authors provide a new framework for defining and enforcing the Quality of Information (QoI) in mobile crowdsensing and analyze in depth the current state of the art on the topic.
Journal ArticleDOI
Testing the accuracy of smartphones and sound level meter applications for measuring environmental noise
Enda Murphy,Eoin A. King +1 more
TL;DR: In this paper, the authors report on experimental tests undertaken to assess the capability of noise monitoring applications to be utilized as an alternative low cost solution to traditional noise monitoring using a sound level meter.
References
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Proceedings ArticleDOI
Activity sensing in the wild: a field trial of ubifit garden
Sunny Consolvo,David W. McDonald,Tammy Toscos,Mike Y. Chen,Jon E. Froehlich,Beverly L. Harrison,Predrag Klasnja,Anthony LaMarca,Louis LeGrand,Ryan Libby,Ian Smith,James A. Landay +11 more
TL;DR: This work has developed a system, UbiFit Garden, which uses on-body sensing and activity inference and a personal, mobile display to encourage physical activity to address the growing rate of sedentary lifestyles.
Book
Burden of Disease from Environmental Noise: Quantification of Healthy Life Years Lost in Europe
TL;DR: Policy-makers and their advisers are provided with technical support in their quantitative risk assessment of environmental noise and can use the procedure for estimating burdens presented here to prioritize and plan environmental and public health policies.
Proceedings ArticleDOI
Ear-phone: an end-to-end participatory urban noise mapping system
TL;DR: Ear-Phone, for the first time, leverages Compressive Sensing to address the fundamental problem of recovering the noise map from incomplete and random samples obtained by crowdsourcing data collection.
Proceedings ArticleDOI
The BikeNet mobile sensing system for cyclist experience mapping
Shane B. Eisenman,Emiliano Miluzzo,Nicholas D. Lane,Ronald Peterson,G-S. Ahn,Andrew T. Campbell +5 more
TL;DR: A description and prototype implementation of the system architecture, an evaluation of sensing and inference that quantifies cyclist performance and the cyclist environment; a report on networking performance in an environment characterized by bicycle mobility and human unpredictability; and a description of BikeNet system user interfaces are presented.