[HTML][HTML] Review of bike-sharing system studies using bibliometrics method

J Zhou, Y Guo, J Sun, E Yu, R Wang - Journal of traffic and transportation …, 2022 - Elsevier
Compared to motorized modes, bike-sharing systems (BSSs) are generally recognized as
an environmentally friendly mode of transport and mobility. Due to the advantages and …

Listen to E-scooter riders: Mining rider satisfaction factors from app store reviews

JJC Aman, J Smith-Colin, W Zhang - Transportation research part D …, 2021 - Elsevier
In this study, app store reviews from two major micromobility companies are investigated
using machine learning techniques to identify the factors that influence rider satisfaction. The …

[HTML][HTML] DeepTSP: Deep traffic state prediction model based on large-scale empirical data

Y Liu, C Lyu, Y Zhang, Z Liu, W Yu, X Qu - … in transportation research, 2021 - Elsevier
Real-time traffic state (eg, speed) prediction is an essential component for traffic control and
management in an urban road network. How to build an effective large-scale traffic state …

Impacts of COVID-19 on bike-sharing usages in Seoul, South Korea

J Jiao, HK Lee, SJ Choi - Cities, 2022 - Elsevier
The COVID-19 pandemic and social distancing restrictions have had a significant impact on
urban mobility. As micro mobility offers less contact with other people, docked or dockless e …

[HTML][HTML] Bike-sharing demand prediction at community level under COVID-19 using deep learning

A Mehdizadeh Dastjerdi, C Morency - Sensors, 2022 - mdpi.com
An important question in planning and designing bike-sharing services is to support the
user's travel demand by allocating bikes at the stations in an efficient and reliable manner …

An attention-based deep learning framework for trip destination prediction of sharing bike

W Wang, X Zhao, Z Gong, Z Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the advancement of communication technology and location acquisition technology in
the context of modern smart cities, the sharing bike systems offer users the great autonomy …

Using topic modeling to unravel the nuanced effects of built environment on bicycle-metro integrated usage

H Bi, H Gao, A Li, Z Ye - Transportation Research Part A: Policy and …, 2024 - Elsevier
Bicycle-metro integration, in which bicycling is used as a flexible feeder mode to connect
with public transport nodes presents new opportunities for sustainable transportation. It is …

[HTML][HTML] Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management

D Gammelli, Y Wang, D Prak, F Rodrigues… - … Research Part C …, 2022 - Elsevier
Bike-sharing systems are a rapidly develo** mode of transportation and provide an
efficient alternative to passive, motorized personal mobility. The asymmetric nature of bike …

Relocating operational and damaged bikes in free-floating systems: A data-driven modeling framework for level of service enhancement

X Chang, J Wu, H Sun, GH de Almeida Correia… - … Research Part A: Policy …, 2021 - Elsevier
Free-floating bike sharing is an innovative and sustainable travel mode, where shared bikes
can be picked up and returned at any proper place on the streets and not just at docking …

Short-term prediction of bike-sharing demand using multi-source data: a spatial-temporal graph attentional LSTM approach

X Ma, Y Yin, Y **, M He, M Zhu - Applied Sciences, 2022 - mdpi.com
As a convenient, economical, and eco-friendly travel mode, bike-sharing greatly improved
urban mobility. However, it is often very difficult to achieve a balanced utilization of shared …