Songhua Hu

Songhua Hu

CrowdSensing, Human Mobility, GeoAI, Network Science

Sustainable, equitable, and resilient mobility infrastructure

Unexpected events lead to substantial impacts on mobility systems and irreversibly change human travel behaviors. My work focuses on qualitatively and quantitatively examining the time-varying resilience of transportation infrastructure under abnormal interventions, for example, modeling road traffic flow under inclement weather and comparing recovery patterns of multi-modal travel demand during the COVID-19 pandemic. My particular attention to accessibility inequities, policy barriers, and resilient disparities in underserved communities under unusual interventions provides valuable suggestions for a more sustainable, equitable, and resilient urban mobility system.

Journals

  1. Hu, Songhua, Chenfeng Xiong, Zhanqin Liu, and Lei Zhang. “Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic.” Journal of transport geography 91 (2021): 102997.
  2. Hu, Songhua, and Peng Chen. “Who left riding transit? Examining socioeconomic disparities in the impact of COVID-19 on ridership.” Transportation Research Part D: Transport and Environment 90 (2021): 102654.
  3. Xiong, Chenfeng, Songhua Hu, Mofeng Yang, Hannah Younes, Weiyu Luo, Sepehr Ghader, and Lei Zhang. “Mobile device location data reveal human mobility response to state-level stay-at-home orders during the COVID-19 pandemic in the USA.” Journal of the Royal Society Interface 17, no. 173 (2020): 20200344.
  4. Sun, Qianqian, Weiyi Zhou, Aliakbar Kabiri, Aref Darzi, Songhua Hu, Hannah Younes, and Lei Zhang. “ COVID-19 and income profile: How people in different income groups responded to disease outbreak, case study of the United States.” Regional Science Policy & Practice (2022).

Conferences

  1. Chen, Peng, Xiankui Yang, Yu Zhang, and Songhua Hu. The Renaissance of Transit and Ridesharing: From Pandemic Towards the New Normal, Transportation Research Board 102th Annual Meeting (2023), Washington DC.
  2. Hu, Songhua, Hangfei Lin, Kun Xie, Jianjun Dai, and Jiandong Qui. Impacts of rain and waterlogging on traffic speed and volume on urban roads, The 21st IEEE International Conference on Intelligent Transportation Systems ( 2018).
  3. Hu, Songhua, Jianjun Dai, Jiandong Qiu, and Hangfei Lin. Identification of Urban Road Waterlogging Using Floating Car Data. In CICTP 2018: Intelligence, Connectivity, and Mobility (pp. 1885-1894)(2018). Reston, VA: American Society of Civil Engineers.