Democratizing air: A co-created citizen science approach to indoor air quality monitoring

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-10-22 DOI:10.1016/j.scs.2024.105890
Sachit Mahajan , Rosy Mondardini , Dirk Helbing
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Abstract

Indoor air quality (IAQ) is crucial for public health, yet many remain unaware of indoor pollutants. Although Citizen Science has enhanced outdoor air quality understanding, its application to IAQ remains underexplored. This study introduces a new co-creation methodology that addresses key limitations in existing IAQ monitoring practices by integrating value-sensitive design principles and a ‘facilitated emergence’ paradigm. Through three co-creation workshops, we engaged multiple stakeholders in every stage, from problem definition to data interpretation. We employed adaptive facilitation strategies to effectively balance power dynamics among stakeholders, ensuring inclusive decision-making and mitigating potential biases. Our 30-day data collection campaign provided real-time measurements of Particulate Matter (PM) concentrations. Analysis revealed several locations with Indoor/Outdoor (I/O) PM2.5 ratios close to or above 1, uncovering hidden IAQ complexities and emphasizing the need for localized monitoring. We showed how citizen-generated data can improve spatial resolution, detecting local variations missed by official networks. Feedback from the co-creation workshops demonstrated shifts in participants’ perceptions regarding IAQ, accountability, and their role in environmental decision-making, moving from passive awareness to active engagement. Our findings demonstrate how this value-sensitive and community-driven bottom-up approach can enhance air quality assessment, inform targeted IAQ management strategies, and empower citizens in environmental health decisions.

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空气民主化:共同创建的室内空气质量监测公民科学方法
室内空气质量(IAQ)对公众健康至关重要,但许多人仍然不了解室内污染物。虽然 "公民科学 "增强了人们对室外空气质量的了解,但其在室内空气质量方面的应用仍未得到充分探索。本研究引入了一种新的共同创造方法,通过整合价值敏感设计原则和 "促进涌现 "范式,解决了现有室内空气质量监测实践中的主要局限性。通过三次共同创造研讨会,我们让多个利益相关者参与了从问题定义到数据解释的每个阶段。我们采用了适应性促进策略,以有效平衡利益相关者之间的权力动态,确保决策的包容性并减少潜在的偏见。我们为期 30 天的数据收集活动提供了颗粒物 (PM) 浓度的实时测量数据。分析显示,多个地点的室内/室外(I/O)PM2.5 比率接近或超过 1,揭示了隐藏的室内空气质量复杂性,并强调了本地化监测的必要性。我们展示了公民生成的数据如何提高空间分辨率,发现官方网络所忽略的地方变化。共同创造研讨会的反馈表明,参与者对室内空气质量、问责制及其在环境决策中的作用的看法发生了转变,从被动认识转变为主动参与。我们的研究结果表明,这种价值敏感和社区驱动的自下而上的方法可以加强空气质量评估,为有针对性的室内空气质量管理策略提供信息,并增强公民在环境健康决策中的能力。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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