Using phone data to track noise pollution in the city
Following previous blog posts highlighting the dire health and environmental impacts of urban noise pollution, strategies of tackling noise pollution in the city quickly became top priority of the city planners. In order to implement noise pollution strategies, the first step needed is to have sufficient data describing sources and concentration of the noise. Typical data collection method today tend to be expensive and complex, hence novel solutions that can cut back these costs are greatly welcomed by noise pollution researchers.
In recent times, researchers came up with the ingenious idea of utilising the good quality microphones built into the mobile phones most citizens carry on a daily basis. This allows researchers to not only tap in on a large pool of data collectors, it also saves immense cost in providing for additional equipment for data collecting.
However, several technical challenges are still to be considered for. Things such as unobtrusiveness and correctness of usage. Unobtrusiveness refers to how much extra effort the person tracking noise levels need to make when collecting data. This will not only affect the frequency of which the users have their microphones on and tracking, it will also affect their willingness to participate. Several users have raised the concern of mistrusting the data tracking application, fearing that their private conversations might be recorded.
As for correctness, it affects the quality of data collected. When developing the noise recording app, researchers have to consider the fact that most mobile phone’s microphones have built in noise cancelling functions to facilitate better conversations. This however is the opposite of what the data collectors want. As such, the app must be able to bypass such technology for a more accurate result. Users must also be educated on the proper ways of to record the noise level; phones must not be placed in a bag or in pockets, and the microphones should not be obstructed.
Although the use of mobile phones for tracking of noise data still poses several challenges, the potential of this method is great in terms of volume and ease of data collected.
References:
S. Santini, B. Ostermaier and R. Adelmann, “On the use of sensor nodes and mobile phones for the assessment of noise pollution levels in urban environments,” 2009 Sixth International Conference on Networked Sensing Systems (INSS), 2009, pp. 1-8, doi: 10.1109/INSS.2009.5409957.