Small Fleet, Big Impact: Enhancing Shared Micromobility Efficiency through Minimal Autonomous Vehicle Deployment [PDF]
Shared micromobility systems, such as electric scooters and bikes, have gained widespread popularity as sustainable alternatives to traditional transportation modes.
Heng Tan, Hua Yan, Lucas Yang, Yu Yang
semanticscholar +4 more sources
Shared micromobility services are experiencing rapid growth, particularly in addressing last-mile transportation needs. The most crucial questions focus on identifying the determinants of user behavior and the factors driving demand for micromobility ...
Gokhan Yurdakul +3 more
doaj +2 more sources
Integration of Shared Micromobility into Public Transit: A Systematic Literature Review with Grey Literature [PDF]
Shared micromobility services have become increasingly prevalent and indispensable as a means of transportation across diverse geographical regions.
Can Cui, Yu Zhang
openalex +2 more sources
Integrating Topographical Map Information in SUMO to Simulate Realistic Micromobility Trips in Hilly and Steep Terrains [PDF]
Nowadays, shared micromobility has become a trend in cities as an alternative to conventional automotive vehicles, especially for short-distance travel.
Andreas Freymann +4 more
doaj +3 more sources
Assessing Environmental Performance of Micromobility Using LCA and Self-Reported Modal Change: The Case of Shared E-Bikes, E-Scooters, and E-Mopeds in Barcelona [PDF]
Altres ajuts: Institut de Cultura, Ajuntament de Barcelona. Grant number 19S01360-006Unidad de excelencia María de Maeztu CEX2019-000940-MMicromobility is often thought of as a sustainable solution to many urban mobility challenges.
Pol Felipe-Falgas +2 more
openalex +4 more sources
Shared micromobility (e.g., shared bikes and electric scooters), as a kind of emerging urban transportation, has become more and more popular in the world.
Heng Tan +4 more
openalex +2 more sources
Meta-analysis of Shared Micromobility Ridership Determinants
Arash Ghaffar +2 more
openalex +2 more sources
ICN: Interactive convolutional network for forecasting travel demand of shared micromobility
Accurate shared micromobility demand predictions are essential for transportation planning and management. Although deep learning models provide powerful tools to deal with demand prediction problems, studies on forecasting highly-accurate spatiotemporal shared micromobility demand are still lacking.
Xu, Yiming +3 more
openaire +3 more sources
Partnering with Communities to Understand Social Determinants of Health (SDoH) Impacts on Access to Shared Micromobility. [PDF]
McClain EK +8 more
europepmc +3 more sources
From paper to Practice: Shared micromobility equity policies yield mixed outcomes
Existing research documents shared micromobility equity policies currently implemented by US cities. But do equity policies on paper translate to outcomes in practice?
Anne Brown, Amanda Howell
doaj +2 more sources

