My doctoral research employs a data-driven approach to enhance our understanding of shared e-scooter ridership, aiming to inform policy development for sustainable and inclusive urban growth. The study addresses three key questions: (1) Understanding shared e-scooter ridership profiles through spatiotemporal patterns and their characteristics in relation to points of interest, as well as understanding how they share roads with other users, which could influence transportation policy. (2) Assessing the errors between tracked and predicted e-scooter trajectories to ensure the accuracy and reliability of e-scooter research, which is critical for research credibility. (3) Delimitating optimal parking locations for e-scooters to integrate safely into urban infrastructure, reducing safety risks and enhancing connectivity and accessibility. This research aims to foster environmentally sustainable transportation and safer urban environments.
Thesis Working Title:
The role of shared electric scooters in urban mobility and sustainable transport: a decade of problems or solutions?
Supervisory panel:
Primary Supervisor: Dr Vanessa Bastos
Co-Supervisor:
Prof Simon Kingham
Dr Lindsey Conrow
Dr Katarzyna Sila-Nowicka (University of Auckland)
Dr Grant McKenzie (McGill University)
Research Interests:
- Spatial Data Science
- GeoAI
- Micromobility
- Drone Delivery
- Autonomous vehicles
- Transportation and Urban Planning
Academic History:
- Bachelor of Arts, Geography, University of Hong Kong (2002)
- Bachelor of Business Management Studies, University of Hong Kong (2007)
- Graduate Diploma in Science, Statistics, Victoria University of Wellington (2021)
- Master of Applied Data Science, University of Canterbury (2023)
