•           Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques
- Danyue Zhi, Hepeng Zhao, Yan Chen, Weize Song,  Yitao Yang
 
·         Urban aerosol, its radiative and temperature response in comparison with urban canopy effects in megacity based on COSMO-ART modelling
- Natalia Chubarova, Elizaveta Androsova, Alexander Kirsanov, Mikhail Varentsov, Gdaliy Rivin
 
·         Research on the air pollution reduction effect of winter clean heating policy
- Dongri Han, Su Yan, Xiumei Sun
 
·         Local mortality and costs from ship-related emissions in three major Portuguese ports
- Rafael A.O. Nunes, Maria C.M. Alvim-Ferraz, Fernando G. Martins, Sofia I.V. Sousa
 
·         High exposure of ultrafine particles at Guangzhou bus stops and the impact of urban layout
- Xinyi Lan, Yuchao Jin, Liye Zhu
 
·         Evaluation of the impact of intensive PM2.5 reduction policy in Seoul, South Korea using machine learning
- Eunjung Cho, Hyunsoo Yoon, Youngsang Cho
 
·         Urban fragmentation approach for assessing thermal environment dynamics: A case study of semi-arid city from a comfort perspective
- Sheewani Patle, Vidya V. Ghuge
 
·         Utilizing LSTM models to predict PM2.5 levels during critical episodes in Delhi, the world's most polluted capital city
- Sanchit Bedi, Arpit Katiyar, N.M. Anoop Krishnan, Sri Harsha Kota
 
·         How can informal environmental regulation improve urban air quality? Evidence from PITI publication in Chinese cities
- Huan-yu Cui, Yue-qun Cao
 
·         Characterising temporal variability of PM2.5/PM10 ratio and its correlation with meteorological variables at a sub-urban site in the Taj City
- Simran Bamola, Gunjan Goswami, Surat Dewan, Isha Goyal, Anita Lakhani