“…For the purpose of obtaining a more realistic distribution of district-wise traffic emissions, for the modelling of spatial pollution profiles, which might open new windows for conducting health exposure assessment especially during peak hours, this study attempts to develop a systematic geo-processing framework via data analytic means, which process available hourly traffic NO x and PM 2.5 emission records of all roads in Hong Kong. To the best of our knowledge, such fine-scale spatial investigations and potential health assessments (with social assumptions imposed) have only been conducted in other countries, like Canada, Poland and the United States [ 35 , 36 , 37 ], but not in highly dense and populated cities. Therefore, the main objectives, desired results and findings of this study are: (1) To establish an improved and comprehensive framework that combines geo-processing techniques, working norms, peak hours for human mobility, and building morphologies of Hong Kong to retrieve more realistic district-wise and street-level traffic NO x and PM 2.5 emissions from eight key road transport types; (2) to obtain diurnal variabilities of traffic NO x and PM 2.5 emissions from each transport type, with the aim of incorporating peak hours into the framework in a more scientific manner; (3) to look for the potential linkages between district-wise traffic emissions and health attributes in different case studies, with respective assumptions outlined in the framework; (4) to identify outlying districts in a highly dense city, then suggest feasible measures for reducing traffic-related health risks and maintaining environmental sustainability and living quality, based on prescribed statistical assumptions.…”