Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative routes’ potential to improve exposure levels per exposure type, and (3) by combining multiple exposures. We demonstrate the approach’s feasibility by analysing cyclists’ air pollution, noise, and greenery exposure in Helsinki, Finland. We apply an in-house developed route-planning and exposure assessment software and integrate to the analysis 3.1 million cycling trips from the local bike-sharing system. We show that especially noise exposure from cycling exceeds healthy thresholds, but that cyclists can influence their exposure by route choice. The proposed approach enables planners and individual citizens to identify (un)healthy travel environments from the exposure perspective, and to compare areas in respect to how well their environmental quality supports active travel. Transferable open tools and data further support the implementation of the approach in other cities.

中文翻译：

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骑自行车的人暴露于空气污染、噪音和绿色植物：一种人口水平的空间分析方法

城市旅行使人们接触到一系列具有重大健康和福祉影响的环境质量。然而，对与旅行相关的环境暴露的了解仍然有限。在这里，我们提出了一种新方法，用于对主动旅行的多重环境暴露进行人口水平评估。它可以分析 (1) 城市规模暴露变化，(2) 替代路线提高每种暴露类型暴露水平的潜力，以及 (3) 通过组合多次暴露。我们通过分析芬兰赫尔辛基骑自行车者的空气污染、噪音和绿化暴露来证明该方法的可行性。我们应用了内部开发的路线规划和暴露评估软件，并将来自当地自行车共享系统的 310 万次自行车出行整合到分析中。我们表明，尤其是骑自行车的噪音暴露超过健康阈值，但骑自行车的人可以通过路线选择影响他们的暴露。拟议的方法使规划者和公民个人能够从暴露的角度识别（不）健康的旅行环境，并比较其环境质量支持积极旅行的区域。可转移的开放工具和数据进一步支持该方法在其他城市的实施。