Wogan Rebecca, Kennedy John
Department of Mechanical, Manufacturing and Biomedical Engineering, Trinity College Dublin, University of Dublin, D02 PN40 Dublin, Ireland.
Heliyon. 2024 Mar 17;10(6):e27918. doi: 10.1016/j.heliyon.2024.e27918. eCollection 2024 Mar 30.
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 was used to visualise the relationship between noise pollution and cycling activity. Estimating traffic noise levels across two cycle routes, direct vs popular detour, revealed a +10 dB(A) increase in exposure for a saving of approximately 4 min on the direct route compared to the detour. Spatial inequities in exposure levels may have serious health consequences for cyclists in a city such as Dublin. The methodology is demonstrated as suitable for policy level interventions and planning purposes.
本研究展示了一种整合免费可用数据集的方法，以了解中等规模城市中道路交通噪声与骑行体验之间的关系。该方法的一个示例取自爱尔兰都柏林的数据。我们将当地环境数据与81403次Strava骑行行程进行汇总，并结合335名骑行者的反馈进行情境分析，以估计暴露水平并推断对体验和行为的影响。结果表明，骑行者意识到自己受到更高噪声水平的影响，并因此经历负面的心理生理后果，但他们往往将噪声的影响淡化，仅仅视为一个小烦恼。噪声也会影响行为，最明显的是通过时间和空间上的绕行。地理空间映射被用于可视化噪声污染与骑行活动之间的关系。通过估计两条骑行路线（直接路线与常用绕行路线）上的交通噪声水平，发现与绕行路线相比，直接路线上的暴露增加了10分贝（A），但节省了大约4分钟。暴露水平的空间不平等可能会给都柏林这样的城市中的骑行者带来严重的健康后果。该方法被证明适用于政策层面的干预和规划目的。
