Social and Behavioral Sciences Commons^™

Data-Driven Optimization For E-Scooter System Design, Abolhassan Mohammadi Fathabad, Xiaofeng Li, Jianqiang Cheng, Yao-Jan Wu

TREC Final Reports

The objective of this project is to develop data-driven, decision-making models for shared-mobility system design and operation. Specifically, we will use shared e-scooters as a representative system, with the ultimate goal of facilitating an electric shared-mobility revolution that promises a more sustainable future. In the past few years, shared e-scooter systems have gained increased popularity around the world because of their benefits to health, traffic congestion, the environment, and accessibility. As of 2018, approximately 100 U.S. cities have launched shared e-scooter programs, accounting for 38.5 million trips. However, the business model to manage e-scooter sharing remains nascent, with many challenges …