Research Experience

Heuristic Siting and Sizing of Public-Private Charging Stations and Anticipating Operational Impacts

Aug. 2023 - Present

Apply an agent-based travel-demand model (POLARIS) to conduct micro-simulations of charging demand from household EVs (HHEV) and shared autonomous electric vehicle (SEAV) fleets.
Co-locating fleet-owned electric vehicle charging stations (EVCS) with current public EVCS and opening their charging access for public use, called public-private (PP) EVCS, to tackle the growing charging demand from expanding SAEV fleets and HHEVs.
A heuristic is adopted to site and size the PP EVCS.
Estimate and reveal the spatial variations in the SAEV fleet and PP EVCS service performance.
Evaluate the financial & operational impacts of the co-locating strategy.
Recommend policies & incentives to accelerate PP EVCS.

Shared EVCS for the Austin area: Opportunities for public-private partnerships

Aug. 2022 - Aug. 2023

Literature review of current EVCS siting issues, EV adopters’ charging behavior, and EVCS cost trends.
Apply POLARIS to simulate EVs’ charging demand and energy consumption within the Austin area.
Based on current EVCS distribution and simulated charging demand, give suggestions for potential sites for co-locating the private EVCS with current public chargers.
Explore the PP EVCS opportunities and create design examples for EVCS sites.

Comparative Equity Analysis for Two Micromobility Options: Dockless E-scooters vs Station-based Bikeshare

Apr. 2021– Aug. 2022

Developed an analytical framework to examine how dockless e-scooter and station-based bike-share service systems differ over a set of equity-related outcomes (including availability, accessibility, and idle time).
Applied ArcGIS’ kernel density tool to measure accessibility of micromobility resources across space.
Calculated and mapped spatial distribution of indicators’ outcomes to compare equity performance of the micromobility options.

Applied Data Science for Civil and Environmental Engineers Project: Use of shared mobility for First-Mile (FM)/Last-Mile (LM) service

Aug. 2021 - Aug. 2022

• Processed GBFS data with certain feature threshold to filter out outliers of OD trips and created buffers with different ranges for transfer stations to identify corresponding FM/LM trips respectively.

• Analyzed changes in FM/LM trip proportions over time of day.

• Analyzed the spatial distribution of FM/LM trips combined with land use and environmental factors.

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