Urban health state estimation based on multi-source heterogeneous data of traffic and air pollution

Abstract

In order to comprehend the impact of urban health on individuals' lives, behaviors, and choices in metropolitan areas, we suggest a framework known as the Health of the Public (HOTP) framework. This framework utilizes diverse sources of urban data to identify urban health. Firstly, we carry out pre-processing and feature processing of air quality data. Subsequently, we pre-process traffic congestion data and process its relevant features. Finally, we integrate the results from both data feature extraction processes to reason and evaluate the urban health status. The predicted results of our HOTP method corresponded with the actual urban operations. This demonstrates that our methodology proficiently integrates metropolitan commute information and atmospheric contamination data to accurately evaluate the overall health level of the city.