by admin | Jun 30, 2022 | Research_5
The rapid growth in personal e-bike ownership brings both benefits and costs similarly arise concerns about safety, disruption to traffic, and environmental impacts of such vehicles. The paper conducted a choice experiment for conventional and electric bike-share in...
by admin | Jun 30, 2022 | Research_5
We estimated the demand elasticity of deployed e-scooter vehicles by comparing actual demand (e-scooter usage) with supply dimensions (vehicles deployed). The study used almost a year-long geographically disaggregated e-scooter trip summary data and the location of...
by admin | Jun 30, 2022 | Research_5
Using Big Data and Machine learning approaches, we proposed a framework for high-resolution analyzing micromobility data based on temporal, spatial, and weather attributes. This study scrutinized over a million e-scooter trips in Nashville, Tennessee to identify five...
by admin | Jun 30, 2022 | Research_5
This published work presents the first-year operational experience of CycleUshare, an e-bike sharing system in the campus of the University of Tennessee Knoxville that combined bike-sharing with and e-bike. CycleUshare is North America’s first e-bike-sharing system...
