A review on bike-sharing: The factors affecting bike-sharing demand
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2019.101882
Abstract: Abstract This paper aimed to address the need for a comprehensive review on the factors affecting bike-sharing demand to bridge the gaps by deepening the knowledge on weather, built environment and land use, public transportation,… read more here.
Keywords: affecting bike; bike sharing; factors affecting; sharing demand ... See more keywords
Bike-Sharing Demand Prediction Based on Dynamic Time Warping and Spatio-Temporal Graph Attention Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3570009
Abstract: Bike-sharing demand prediction involves complex, dynamic spatio-temporal dependencies and various influencing factors, thus becomes one of technical challenges in intelligent transportation systems. Existing methods often rely on predefined adjacency matrices based on distance or road… read more here.
Keywords: sharing demand; attention; bike sharing; spatio temporal ... See more keywords
FF-STGCN: A usage pattern similarity based dual-network for bike-sharing demand prediction
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0298684
Abstract: 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 is affected by the arbitrariness… read more here.
Keywords: demand prediction; bike sharing; sharing demand;
A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24091193
Abstract: This paper proposes an accurate short-term prediction model of bike-sharing demand with the hybrid TCN-GRU method. The emergence of shared bicycles has provided people with a low-carbon, green and healthy way of transportation. However, the… read more here.
Keywords: prediction model; bike sharing; sharing demand; model ... See more keywords