Accurately predicting weather and climate in cities is critical for safeguarding human health and strengthening urban resilience. Multimodel evaluations can lead to model improvements; however, there have been no major intercomparisons of urban-focussed la ...
We propose a novel system leveraging deep learning-based methods to predict urban traffic accidents and estimate their severity. The major challenge is the data imbalance problem in traffic accident prediction. The problem is caused by numerous zero values ...
This article seeks to address current debates on ongoing China’s urban development and makes a theoretical proposal that links financialization and ecological civilization through the perspective of the increasing role of consumption in today’s transition ...
More than 59 million people reside in the six member countries of the Gulf Cooperation Council (GCC) (the United Arab Emirates, Bahrain, Kuwait, Oman, Qatar, and Saudi Arabia). The rate of urbanization is more than 80% in each of these countries. To better ...
This research is the result of four years of practical and scientific investigation of the phenomenon of traffic evaporation, which was considered and then demonstrated to be the opposite of traffic induction. It has anchored, in practice and in time, an o ...
