Songhua Hu

My work at the nexus of urban sensing, human mobility, and environment aims to streamline an end-to-end process from raw data sensors to tangible solutions and contribute to the development of a smarter, greener, more resilient, and equitable future mobility system. I am particularly interested in using crowdsensing techniques and other novel sensors to gather large-scale, fine-grained, and spatiotemporal-continuous human, vehicle, and environment data in both normal and abnormal contexts, exploring their synergy with established transportation and economic theories, and developing new methods to solve complex mobility problems in a data-driven bottom-up way. 

I’ve been working with a diverse set of sensors (Mobile phones, Mobile apps, Traffic cameras, Floating cars, Social media) using different modelling approaches (Deep learning, Statistics, Simulation, Network science, Cloud computing). My work has been applied to various scenarios such as Digit-twin mobility system, Travel demand modelling, Transport geography, Mobility as a Service (MaaS), Travel behavioral economics, Disaster response, Transportation decarbonization, and Travel and Infectious Disease.