Factors influencing shared micromobility services: An analysis of e-scooters and bikeshare

A Hosseinzadeh, A Karimpour, R Kluger - Transportation Research Part D …, 2021 - Elsevier
This study explores how factors, including weather, day of the week, holidays, and special
events, influence the trip frequency of two micromobility modes, shared e-scooters and …

Understanding dockless bike-sharing spatiotemporal travel patterns: Evidence from ten cities in China

F Meng, L Zheng, T Ding, Z Wang, Y Zhang… - … , Environment and Urban …, 2023 - Elsevier
Dockless bike-sharing (DBS) has gained popularity in many cities in recent years. However,
little attention has been given to the commonalities and differences in DBS travel patterns …

[HTML][HTML] Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China

X Xu, J Wang, S Poslad, X Rui, G Zhang… - International Journal of …, 2023 - Elsevier
In recent years, the emergence of dockless bike-sharing has brought new ways of
transportation, while also providing support for observing urban dynamics at a finer …

Mobility pattern recognition based prediction for the subway station related bike-sharing trips

Y Lv, D Zhi, H Sun, G Qi - Transportation Research Part C: Emerging …, 2021 - Elsevier
The free-floating bike-sharing (BS) system plays an important role in connection with the
public transit system. However, few studies have addressed the impacts of the subway …

Exploring and evaluating the spatial association between commercial and residential spaces using Baidu trajectory data

L Zhou, C Wang, F Zhen - Cities, 2023 - Elsevier
The spatial association between commercial and residential spaces strongly influences
residents' daily lives, social equity, and economic performance. Based on Baidu trajectory …

Changes in emerging mobility tool adoption: A path towards sustainability?

M Sweet, DM Scott - Transportation Research Part D: Transport and …, 2024 - Elsevier
Emerging mobility technologies, such as car sharing, ride hailing, bike sharing, and telework
have led to aspirations of sustainable transportation. But how quickly are emerging mobility …

A spatiotemporal analysis of the impact of lockdown and coronavirus on London's bicycle hire scheme: from response to recovery to a new normal

X Gao, H Chen, J Haworth - Geo-spatial Information Science, 2023 - Taylor & Francis
The coronavirus pandemic that started in 2019 has had wide-ranging impacts on many
aspects of people's daily lives. At the peak of the outbreak, lockdown measures and social …

Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul

S Leem, J Oh, J Moon, M Kim, S Rho - The Journal of Supercomputing, 2024 - Springer
Bike-sharing is a powerful solution to urban challenges (eg, expanding bike communities,
lowering transportation costs, alleviating traffic congestion, reducing emissions, and …

FF-STGCN: A usage pattern similarity based dual-network for bike-sharing demand prediction

D Yang, R Wu, P Wang, Y Li - Plos one, 2024 - journals.plos.org
Accurate bike-sharing demand prediction is crucial for bike allocation rebalancing and
station planning. In bike-sharing systems, the bike borrowing and returning behavior exhibit …

Analysis of the Relationship between Dockless Bicycle‐Sharing and the Metro: Connection, Competition, and Complementation

Y Wu, W Li, Q Yu, J Li - Journal of Advanced Transportation, 2022 - Wiley Online Library
Dockless bicycle‐sharing (DLBS) is one of the novel transportation modes emerging in
recent years. As a newly arisen mode, dockless bicycle‐sharing inevitably has influence on …