Crowdsourced cycling data applications to estimate noise pollution exposure during urban cycling.

ABSTRACT: This research demonstrates a methodology to integrate freely available datasets to understand the relationship between road traffic noise and cycling experiences in a medium sized city. An illustrative example of the methodology was drawn from data for Dublin, Ireland. We aggregate local environmental data with 81,403 Strava cycle trips, contextualised by feedback from 335 cyclists to estimate exposure levels and infer impacts on experiences and behaviours. Results demonstrate that cyclists recognise that they are subjected to increased noise levels and experience negative psychophysical consequences as a result, but they tend to downplay the impact of noise as merely a minor annoyance. Noise also impacts behaviour, most noticeably through temporal and spatial detours. Geospatial mapping w

SUBMITTER: Wogan R 

PROVIDER: S-EPMC10963327 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature