Zeyu Lin

Zeyu Lin

Incoming Ph.D. student in Operations Management and Statistics at the Rotman School of Management, University of Toronto. Research: OR/OM, network games, shared mobility, and on-demand platforms.

Publications

You can also find my articles on my Google Scholar profile.

Working Papers

Moving Lifelines: Fixed Sites or Mobile Fleets for Emergency Medical Device Delivery?

SSRN Working Paper, 2026

We study how cities should allocate a limited AED budget between static (fixed-site) and mobile (taxi/ride-hailing fleet) deployment systems to maximize timely AED deliveries for out-of-hospital cardiac arrest. Working paper available on SSRN.

Recommended citation: Zeyu Lin, W. Liu, and J. Zhang. (2026). "Moving Lifelines: Fixed Sites or Mobile Fleets for Emergency Medical Device Delivery?" Available at SSRN: https://ssrn.com/abstract=7119321.
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Towards sustainable urban mobility: User-collaborative battery swapping for shared electric micromobility

Transportation Research Part B: Methodological (under review), 2025

We study user-collaborative battery swapping strategies for shared electric micromobility systems. Manuscript submitted to Transportation Research Part B: Methodological (Manuscript No. TRB-D-25-01174).

Recommended citation: R. Guan, Zeyu Lin, Y. Zhou, and J.-B. Sheu. (2025). "Towards sustainable urban mobility: User-collaborative battery swapping for shared electric micromobility." Transportation Research Part B: Methodological. Submitted (Manuscript No. TRB-D-25-01174).

Who benefit from crowd-sourcing in rental network competition

Working Paper (Reject & Resubmit Invited at MSOM), 2025

We build a Networked Cournot model to study competition under crowd-sourced labor in rental networks, analyzing firm profits, labor surplus, and consumer surplus under firm, crowd, and dual sourcing. Working paper, Reject & Resubmit (Invited) at MSOM.

Recommended citation: Zeyu Lin, Y. Zhou, and Y.-J. Chen. (2025). "Who benefit from crowd-sourcing in rental network competition." Working paper. Reject & Resubmit (Invited) at Manufacturing & Service Operations Management.

Journal Articles

User-based relocation for e-bike sharing systems through power-level recommendation

Published in IEEE Transactions on Intelligent Transportation Systems, 2025

We develop a user-incentive mechanism with power-level recommendations to complement staff-based relocation for e-bike sharing. A multi-battery-state Markov model and variable neighborhood search algorithm are devised; empirical validation demonstrates profit gains of up to 12.6%.

Recommended citation: R. Guan, Zeyu Lin, Y. Zhou, and Z. Zhu. (2025). "User-based relocation for e-bike sharing systems through power-level recommendation." IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 9, pp. 13954-13966. doi: 10.1109/TITS.2025.3564359.
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Dynamic battery swapping and rebalancing strategies for e-bike sharing systems

Published in Transportation Research Part B: Methodological, 2023

We develop a staff-based operational strategy for e-bike sharing systems that integrates e-bike relocation and battery swapping through unified optimization. Using a Markov chain model, we propose an adaptive one-step Markovian strategy and a globally optimal rolling-horizon strategy, achieving over 20% profit improvement against industrial baselines in real-world simulations.

Recommended citation: Y. Zhou, Zeyu Lin, R. Guan, and J.-B. Sheu. (2023). "Dynamic battery swapping and rebalancing strategies for e-bike sharing systems." Transportation Research Part B: Methodological. doi: 10.1016/j.trb.2023.102820.
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