Revealing relationships between levels of air quality and walkability using explainable artificial intelligence techniques
Joonsik Jo,
Minje Choi,
Juhyeon Kwak
et al.
Abstract:Based on the global interest in environmental and health issues related to air pollution, this study addresses the impact of air quality on walking and related factors in cities. This study analyzes the impact of air quality on pedestrian volume in Seoul, Korea, and the relationship between these two variables. In this study, an Artificial Intelligence (AI) model was first built to predict pedestrian volume using various urban environmental variables. Then, using Explainable Artificial Intelligence (XAI) techn… Show more
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