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的热点地区。这些应激源对我们的健康有影响，并且在很大程度上是特定背景下在空间和时间上的分布。个人传感器推动了对这些应激源的环境监测，并使移动中的暴露测量成为可能。因此，外行人主动收集的环境VGI可以同时提供关于时空暴露和运动行为的有价值的知识。智能手机传感方法还可以提供主动传感选项，以收集用户对暴露的看法和意见。这种主客观结合的VGI是一个丰富的数据集，不仅可以研究个体在日常活动中的暴露，而且还可以调查个人在日常活动中的行为和决策主题。在本项目中，我们的工作主要有三个：1)如何利用智能手机产生的环境VGI来提取时空流动性模式和暴露；2)如何在报告暴露数据时检索主观数据和分析行为变化？3)如何使用环境VGI来改进流动性和暴露模型？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。我们将使用基于地理信息系统的时空分析和心理统计测试的方法对数据进行分析。为了将经验数据与模型进行比较，我们运行了基于代理的模拟。本项目的主要目的是调查环境VGI通过提高暴露意识来改变移动行为的潜力，从而根据更健康的路线决策。

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.