Autonomous driving paper index

What are the optimal strategies to communicate the risk of poor air quality exposure to vulnerable groups?

2026-06-18 · Frontiers in Public Health

autonomous driving

One-line summary

Findings We developed a theory- and evidence-based framework for communicating the health impacts of poor air quality.

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Background Ambient air pollution is a critical global health concern. Individuals living with preexisting health conditions in urban and/or deprived areas and ethnic minorities groups are at particular risk. The WHO Global Air Quality Guidelines have highlighted the importance of effectively communicating the risk of poor air quality exposure to vulnerable groups so they can take actions to protect themselves. This study explored the optimal strategies to communicate this risk to vulnerable groups. Methods In-depth, semi-structured interviews and focus groups with participants ( n = 50) across a diverse range of vulnerable demographic groups living in North East England, to explore their perspectives around poor air quality and how to communicate this information. Findings We developed a theory- and evidence-based framework for communicating the health impacts of poor air quality. We identified key components of a communication strategy focussing on the need for: tailored information on risks and harms, a range of inclusive and actionable recommendations, and considerations around the source (healthcare-provider, peers) and channel of communication (SMS, community-based). Interpretation This study provides novel insights from vulnerable demographic groups supporting the need for air quality information to be accessible, understandable and tailored. Communicating via trusted sources, e.g., healthcare professionals and/or community-based peer networks is important. Further research should explore the impact of interventions on behaviour change, particularly across vulnerable groups.

5.0Engineering value
8.0Research novelty
5.0Business relevance

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