Abstract
The daily journeys people make are known to have significant effects on human health. Previously, capturing and modeling population mobility was difficult or costly, especially in developing countries. However, the spread of mobile phones now allows us to generate population mobility data relatively easily. Using call detail records (CDRs) of mobile phones in Dhaka, Bangladesh, we generated a dataset, known as a “dynamic census,” which modeled how people move daily and predicted their population characteristics. In this study, we implemented a heat exposure assessment that integrated population mobility extracted from the dynamic census. The result shows that incorporating population mobility can alter heat exposure assessments, regardless of population characteristics. Specifically, it was found that the heat exposure of people from suburban areas is underestimated if their mobility is not integrated into the model. Generating the dynamic census is still under active development. With future development of the dataset, it will be possible to do further analyses, such as incorporating seasonal changes in mobility, greater sample size, or wider study areas for environmental risk assessments.
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Yasumoto, S., Watanabe, C., Arai, A., Shibasaki, R., Oyoshi, K. (2019). Population Mobility Modeling Based on Call Detail Records of Mobile Phones for Heat Exposure Assessment in Dhaka, Bangladesh. In: Watanabe, T., Watanabe, C. (eds) Health in Ecological Perspectives in the Anthropocene. Springer, Singapore. https://doi.org/10.1007/978-981-13-2526-7_3
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