Yanyan Ding
PhD student
Hong Kong University of Science and Technology
Miss Yanyan Ding is a final year Ph.D. student in Transportation engineering from Hong Kong University of Science and Technology (HKUST). Her research interests focus on (i) Synergies of energy, mobility, and supply chain systems (e.g., electric vehicles, renewables), (ii) The sharing economy, information economics, and platform competition (e.g., ride-sharing), and (iii) Sustainable development, environmental governance, and equity (e.g., carbon policy and market morality). She develops models and tools for strategic resource allocation, information design, and incentive mechanisms to achieve socially desirable outcomes in socio-technical systems.
Miss Ding will complete her Ph.D. in the summer of 2023 from HKUST. She holds a B.S. in energy and power engineering from North China Electric Power University. She is a recipient of the First Runner-up of the Outstanding Student Paper Award for the 26th HKSTS international conference in 2022 and the Best Presentation Award for the 4th ISMT conference in 2021.
The high penetration of electric vehicles (EVs) synergizes the mobility and power systems, requiring redesigning the power and transportation infrastructure. Meanwhile, the boom of the platform economy stimulates ridesharing firms to redetermine their marketing strategies regarding optimal fleet sizes and service prices. This further affects congestion in mobility and power systems. Our study unfolds in three aspects: First, we develop a bottleneck model to quantify the impacts of EV dis/charging behavior on traffic congestion by considering a single O-D pair. Second, we propose a dynamic pricing and fleet size optimization problem by considering shared electric vehicle companies interacting with power network operators at a network level. Results show that traffic congestion varies as the synergies of the two network changes. Third, we conduct a game-theoretic analysis to examine the feasibility of the build-operate-transfer scheme in developing charging infrastructure in urban cities by considering the demand-supply congestion effects. In general, our study reveals that the heterogeneous EV users and marketing strategies of mobility service providers will influence the degree of synergies between mobility and energy systems. This requires policy markets and operators to design nimble pricing and operation strategies at both strategic and tactical levels.
