FF-STGCN: A usage pattern similarity based dual-network for bike-sharing demand prediction. [PDF]
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 strong spatio-temporal characteristics. Meanwhile, the bike-sharing demand
Di Yang +3 more
doaj +2 more sources
Predicting College Students’ Bike-Sharing Intentions Based on the Theory of Planned Behavior [PDF]
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]
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]
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
Features that influence bike sharing demand. [PDF]
During the last few years, Bike Sharing Systems (BSS) have become a popular means of transportation in several cities across the world, owing to their low costs and associated advantages. Citizens have adopted these systems as they help improve their health and contribute to creating more sustainable cities.
Cortez-Ordoñez A +2 more
europepmc +5 more sources
Global comparison of urban bike-sharing accessibility across 40 cities [PDF]
The global expansion of bike-sharing networks offers a cost-effective and environmentally friendly transportation alternative that complements public transit and promotes active, healthy lifestyles.
Sachit Mahajan +1 more
doaj +2 more sources
COMPARING THE SPATIOTEMPORAL TRAVEL PATTERNS AND INFLUENCING FACTORS OF BIKE SHARING AND E-BIKE SHARING SYSTEMS [PDF]
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
Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System
Following the bike-sharing system, the shared e-bike becomes increasingly popular due to the advantage in speed, trip distance, and so forth. However, limited research has investigated the impact of the introduction of shared e-bikes on the existing bike-
Siying Zhu
doaj +1 more source
Bike sharing, as an innovative travel mode featured by mobile internet and sharing, offers a new transport mode for short trips and has a huge positive impact on urban transportation and environmental protection. However, bike-sharing operators face some
Hanning Song +5 more
doaj +1 more source
Assume that $m \geq 1$ autonomous mobile agents and $0 \leq b \leq m$ single-agent transportation devices (called {\em bikes}) are initially placed at the left endpoint $0$ of the unit interval $[0,1]$. The agents are identical in capability and can move at speed one.
Jurek Czyzowicz +7 more
openaire +2 more sources

