Results 61 to 70 of about 4,346 (261)
International Journal of Applied Earth Observations and Geoinformation, 2023 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 granularity. This study uses dockless bike-sharing data, combined with point of interest (
Xijie Xu +5 more
doaj +1 more source
Moment-based availability prediction for bike-sharing systems [PDF]
Performance Evaluation, 2017 Abstract We study the problem of predicting the future availability of bikes in a bike station through the moment analysis of a PCTMC model with time-dependent rates. Given a target station for prediction, the moments of the number of available bikes in the station at a future time can be derived by a set of moment equations with an initial set-up ...
Cheng Feng 0004 +2 more
openaire +2 more sources
Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems
Applied Sciences, 2018 This paper proposes a multi agent system that provides visualization and prediction tools for bike sharing systems (BSS). The presented multi-agent system includes an agent that performs data collection and cleaning processes, it is also capable of ...
Álvaro Lozano +4 more
doaj +1 more source
American Journal of Community Psychology, EarlyView.Abstract Families' experience of homelessness is typically examined from the perspective of parents during or shortly after a shelter stay. Parents complain about rules, surveillance, crowding, and challenges to parenting in both homeless shelters and in doubling up with other households (sharing the others' homes), and relief when they attain their ...
Marybeth Shinn +2 more
wiley +1 more source
Research on the prediction of bike sharing system’s demand based on linear regression model [PDF]
SHS Web of ConferencesThis research developed a model of linear regression for forecasting the demand for shared bikes in a bike sharing system. By analyzing a dataset sourced from Kaggle, the study focuses on identifying the factors that have the most impact on bike demand ...
Xu Zijie
doaj +1 more source
Fluid and Diffusion Limits for Bike Sharing Systems [PDF]
, 2017 Bike sharing systems have rapidly developed around the world, and they are served as a promising strategy to improve urban traffic congestion and to decrease polluting gas emissions. So far performance analysis of bike sharing systems always exists many difficulties and challenges under some more general factors.
Quan-Lin Li, Zhi-Yong Qian, Rui-Na Fan
openaire +2 more sources
Decision System Based on Markov Chains for Sizing the Rebalancing Fleet of Bike Sharing Stations
Applied SciencesDocked Bike Sharing Systems often experience load imbalances among bike stations, leading to uneven distribution of bicycles and to challenges in meeting users’ demand.
Horațiu Florian +3 more
doaj +1 more source
Journal of Transport and Land Use, 2020 The Free-Floating Bike-Sharing System (FFBS) enables commuters to pick up and drop off a shared bike without going to a docking station before and after the trip.
Muhammad Usama +3 more
doaj +1 more source
Computational Urban ScienceBike-sharing offers an eco-friendly and efficient transportation alternative, addressing traffic congestion, environmental concerns, and promoting healthier lifestyles.
Jiaqing Lu, Ziqi Li, Qianwen Guo
doaj +1 more source
Bike Sharing and Urban Mobility in a Post-Pandemic World
IEEE Access, 2020 The Covid-19 pandemic has abruptly changed well-established mobility patterns, as the need for social distancing and lockdown orders have driven citizens to reduce their movements and avoid crowded mass transit.
Francesco Pase +3 more
doaj +1 more source