Smartphone-based noise mapping: Integrating sound level meter app data into the strategic noise mapping process.
The strategic noise mapping process of the EU has now been ongoing for more than ten years. However, despite the fact that a significant volume of research has been conducted on the process and related issues there has been little change or innovation in how relevant authorities and policymakers are conducting the process since its inception. This paper reports on research undertaken to assess the possibility for smartphone-based noise mapping data to be integrated into the traditional strategic noise mapping process. We compare maps generated using the traditional approach with those generated using smartphone-based measurement data. The advantage of the latter approach is that it has the potential to remove the need for exhaustive input data into the source calculation model for noise prediction. In addition, the study also tests the accuracy of smartphone-based measurements against simultaneous measurements taken using traditional sound level meters in the field.
School of Architecture, Planning and Environmental Policy, University College Dublin, Ireland. Electronic address: enda.murphy@ucd.ie.
Enda
E
Murphy
Acoustics Program and Lab, Department of Mechanical Engineering, University of Hartford, USA.
Eoin A
EA
King
D004784:Environmental Monitoring / Q000295:instrumentation* / Q000379:methods; D062305:Geographic Mapping; D009622:Noise; D000068997:Smartphone
Environmental noise directive; Noise mapping; Smartphone noise apps