Collective Mobile Sensing for Urban Health
(2016) ACSA. Association of Collegiate Schools of Architecture
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- Abstract
- As urban citizens, we are often exposed to highly polluted environments. However, despite the growing access to sensing technologies, urban environmental data is still not openly available to the public. Lack of availability of air pollution data not only abstracts the sensitivity of environmental issues for the citizens, but also diminishes the overall understanding of the relationship between urban parameters and pollutant concentrations. In response to these challenges, this paper argues that, in order to better understand urban environmental conditions, we must first work with high-resolution spatio-temporal air pollution data. We argue that collective mobile sensing methods with the use of low-cost and technically accessible devices have the potential to provide sufficient spatio-temporal air pollution data. We must then investigate alternative visualization strategies for better analysis of multivariable spatial data such as, air pollution. The goal is to enhance public awareness and motivate subsequent initiatives to improve and promote urban health. This paper presents a case study developed and implemented at the University of Southern California in the city of Los Angeles. Collective mobile sensing is performed through student engagement and the use of bikes and UAV technologies. The results are displayed and analyzed through three visualization strategies i) GIS analysis ii) 3D spatio-temporal analysis and iii) video filtering analysis
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Citations
Llaguno, M., & et al. (2016). Collective Mobile Sensing for Urban Health. ACSA News, 1, 62-70. https://hdl.handle.net/2078.5/167397 (Original work published 2016)