Welcome to our Team Page!
With over half of the global population now lives in urban areas and an increasing rate of urbanization, identifying a sustainable path for urban development while conserving natural resources and constraining emissions is of critical importance.
Our group uses agent-based modeling, life cycle assessments, system dynamics, big data analytics, GIS, and optimization tools to study the environmental implications of emerging technologies from the systems perspective. Our research interests include energy-water nexus, emerging transportation systems, energy policy, sustainable consumption, and sustainable and resilient supply chains.
News
Publications
- Luo, H., Zhao, F., Chen, W., Cai, H., (2020) “Optimizing bike sharing systems from the life cycle greenhouse gas emissions perspective”, Transportation Research Part C: Emerging Technologies, 117: 102705
- Wang, J., Li, L., Guo, S., Cai, H., Zhang, J., Ni, Y., “Can China's BEV market sustain without government subsidies?: an explanation using cues utilization theory”, Journal of Cleaner Production, 272(1): 122589
- Xiao, D., An, S., Cai, H., Wang, J., Cui, J. (2020) “An optimization model for electric vehicle charging infrastructure planning considering queuing behavior with finite queue length”, Journal of Energy Storage, 29:101317