2026-09-19T22:11:23Zhttps://ecommons.cornell.edu/server/oai/requestoai:ecommons.cornell.edu:1813/1164782026-05-15T19:50:39Zcom_1813_35col_1813_47
Janmohamed, Alyf
Henderson, Shane
Shmoys, David
Banerjee, Siddhartha
2025-01-14T19:59:42Z
2025-01-14T19:59:42Z
2024-08
ProQuest Submission ID: 14626
ProQuest Publication ID: 31489448
https://hdl.handle.net/1813/116478
https://doi.org/10.7298/4ktb-a285
16611657
130 pages
This thesis has two parts. The first focuses on shared e-bike and e-scooter systems, which have become globally popular solutions for urban mobility.However, they introduce new operational challenges around charging and many charging mechanisms have been proposed (e.g. employees swapping batteries, charging stations, crowd-sourced, etc.). We develop a model that allows the direct comparison of different mechanisms and quantifies their impact on platform performance. In order to achieve this, novel ideas for analyzing the underlying stochastic process are introduced. The second part considers an emerging idea in public transit, using on-demand shuttles for first- and last-mile.We develop a modelling framework to help cities assess the feasibility of integrating on-demand shuttles. It consists of two modular components. The first models individual regions serviced by shuttles and the second efficiently optimizes the deployment of shuttles throughout the day. A key feature of this framework is that it can be easily extended to key considerations of transit operators such as latent demand and equity across regions.
en
Bike sharing
Closed Queueing
Electric Vehicles
Microtransit
Mobility
Modelling and Data Analysis for the Design of Modern Urban Mobility
dissertation or thesis
https://newcatalog.library.cornell.edu/catalog/16611657
application/pdf
Operations Research and Information Engineering
Cornell University
Doctor of Philosophy
Ph. D., Operations Research and Information Engineering
https://hdl.handle.net/1813/59810.2
Publication
Cornell Theses and Dissertations
Janmohamed, Alyf
5893a6ea-7af3-41d7-abc6-04bcd26ab5df
open.access
open.access
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<Keyword>Bike sharing</Keyword>
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<Abstract>This thesis has two parts. The first focuses on shared e-bike and e-scooter systems, which have become globally popular solutions for urban mobility.However, they introduce new operational challenges around charging and many charging mechanisms have been proposed (e.g. employees swapping batteries, charging stations, crowd-sourced, etc.). We develop a model that allows the direct comparison of different mechanisms and quantifies their impact on platform performance. In order to achieve this, novel ideas for analyzing the underlying stochastic process are introduced. The second part considers an emerging idea in public transit, using on-demand shuttles for first- and last-mile.We develop a modelling framework to help cities assess the feasibility of integrating on-demand shuttles. It consists of two modular components. The first models individual regions serviced by shuttles and the second efficiently optimizes the deployment of shuttles throughout the day. A key feature of this framework is that it can be easily extended to key considerations of transit operators such as latent demand and equity across regions.</Abstract>
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