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Predicting College Students’ Bike-Sharing Intentions Based on the Theory of Planned Behavior [PDF]

open access: yesFrontiers in Psychology, 2022
Shared bicycles are sustainable and effective transportation tools in college campuses. Accordingly, this study aimed to assess the behavioral intention of college students toward bike-sharing as an environmentally friendly and social mode of travel.
Xiaofang Chen
doaj   +2 more sources

Dataset on the behavior of local and foreign users in their willingness to pay for bike sharing in medium-sized cities [PDF]

open access: yesData in Brief
The data provide information from a face-to-face survey of 370 potential dock-based e-bike-sharing users in Santander, Spain. The survey was designed to collect information about the current and future use of the city's bike-sharing service, including ...
Andres Rodriguez   +3 more
doaj   +2 more sources

Understanding the intention to use bike-sharing system: A case study in Xi'an, China. [PDF]

open access: yesPLoS ONE, 2021
Bike-sharing is widely recognized as an eco-friendly mode of transportation and seen as one of the solutions to the problem of air pollution and congestion.
Xiaonan Zhang   +3 more
doaj   +2 more sources

Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning. [PDF]

open access: yesSensors (Basel), 2022
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 which may require accurate short-time demand prediction.
Mehdizadeh Dastjerdi A, Morency C.
europepmc   +2 more sources

How Is Urban Greenness Spatially Associated with Dockless Bike Sharing Usage on Weekdays, Weekends, and Holidays?

open access: yesISPRS International Journal of Geo-Information, 2021
Dockless bike sharing plays an important role in residents’ daily travel, traffic congestion, and air pollution. Recently, urban greenness has been proven to be associated with bike sharing usage around metro stations using a global model. However, their
Feng Gao   +5 more
doaj   +2 more sources

Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approach

open access: yesApplied Sciences, 2022
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 bikes due to the asymmetric spatio-temporal user demand distribution ...
Xinwei Ma   +4 more
doaj   +2 more sources

Dockless bike-sharing systems: what are the implications?

open access: yesTransport Reviews, 2020
The emergence of dockless bike-sharing services has revolutionised bike-sharing markets in recent years, and the dramatic growth of shared bike fleets in China, as well as their rapid expansion throughout the world, exceeds prior expectations.
Zheyan Chen, Dea van Lierop, Dick Ettema
exaly   +2 more sources

COMPARING THE SPATIOTEMPORAL TRAVEL PATTERNS AND INFLUENCING FACTORS OF BIKE SHARING AND E-BIKE SHARING SYSTEMS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The emergence of micromobility, exemplified by bike sharing and e-bike sharing systems, has ushered in a low-carbon, environmentally friendly, and sustainable revolution in urban transportation.
Y. Chen   +11 more
doaj   +1 more source

Improving short-term bike sharing demand forecast through an irregular convolutional neural network [PDF]

open access: yesSocial Science Research Network, 2022
As an important task for the management of bike sharing systems, accurate forecast of travel demand could facilitate dispatch and relocation of bicycles to improve user satisfaction.
Xinyu Li   +5 more
semanticscholar   +1 more source

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