ExpoAware: Environmental VGI for personal exposure awareness and healthy mobility behavior

城市地区是噪音、空气污染和高温等环境压力源的热点地区。这些压力源对我们的健康有影响，并且在空间和时间上具有高度的特定背景。个人传感器推进了这些压力源的环境监测方式，并使移动中的暴露测量成为可能。因此，外行人积极收集的环境VGI可以立即提供有关时空暴露和移动行为的有价值的知识。智能手机感应方法还可以提供主动感应选项，以收集用户对暴露的感知和意见。这种主观和客观VGI的结合是一个丰富的数据集，不仅可以研究个体在日常移动中的暴露，还可以研究个体的行为和决策动机。因此，在这个项目中，我们致力于三个主要目标：1)如何使用智能手机生成的环境VGI来提取时空移动模式和暴露？2)在报告暴露数据时，我们如何检索主观数据并分析行为变化？3)如何将环境VGI用于流动性和暴露模型的改进？我们使用智能传感器和基于自己开发的时间地理学和心理学理论框架的干预性研究设计来收集来自不同社会经济背景的外行人的VGI。我们将使用基于GIS的时空分析和心理统计测试方法对数据进行分析。为了将经验数据与模型进行比较，我们运行了基于智能体的模拟。该项目的主要目的是研究环境VGI的潜力，通过提高暴露意识来改变出行行为，从而做出更健康的路线决策。

Urban areas are hotspots environmental stressors like noise, air pollution and heat. These stressors have an impact on our health and are to a high degree context specific distributed in space and time. Personal sensors advanced the way of environmental monitoring of these stressors and enable exposure measurements on the move. Therefore environmental VGI that is actively collected by laypeople can provide valuable knowledge about spatio-temporal exposures and mobility behavior at once. Smartphone sensing methods can additionally provide active sensing options to collect users perceptions and opinions about the exposure. This combination of subjective and objective VGI is a rich dataset to investigate not only the exposure, but also behavior and decision motifs of individuals during everyday mobility.In this project we therefore work on three main objectives: 1) How can environmental VGI generated with smartphones be used to extract spatio-temporal mobility pattern and exposure? 2) How can we retrieve subjective data and analyze behavioral changes when reporting back exposure data? 3) How can environmental VGI be used for the refinement of mobility and exposure models?We use smart sensors and an interventional study design based on an own developed framework of time geography and psychological theory to collect the VGI with laypeople from different socio-economic backgrounds. We will analyze the data with GIS based methods of space-time analytics and psychological statistics testing. To compare the empirical data with models we run agent-based simulations.The main aim of this project is to investigate the potential of environmental VGI to change mobility behavior according to a healthier route decision-making through raising exposure awareness.