[HTML][HTML] The governance of dockless bike-sharing schemes: A systemic review of peer-reviewed academic journal papers between 2016 and 2019

J Cao, J Prior, C Moutou - Cleaner engineering and technology, 2021 - Elsevier
Since dockless bicycle-sharing systems (DBSS) first arose in China in 2016, studies have
examined their governance. However, there has been no comprehensive review of the …

A hybrid machine learning model for demand prediction of edge-computing-based bike-sharing system using Internet of Things

T Xu, G Han, X Qi, J Du, C Lin… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The rapid development of Internet-of-Things technologies (such as edge computing) has
promoted the development of numerous emerging urban applications, particularly smart …

GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement

Q Yu, Y Xie, W Li, H Zhang, X Liu, WL Shang, J Chen… - Applied Energy, 2022 - Elsevier
As a newly-emerging option of shared transportation, Internet-enabled dockless bicycle
sharing is well accepted by the public. The implementation of electric fences has great …

On how to incorporate public sources of situational context in descriptive and predictive models of traffic data

S Cerqueira, E Arsenio, R Henriques - European transport research review, 2021 - Springer
Background European cities are placing a larger emphasis on urban data consolidation and
analysis for optimizing public transport in response to changing urban mobility dynamics …

Predicting hourly origin–destination demand in bike sharing systems using hurdle models: Lisbon case study

V Lucas, AR Andrade - Case Studies on Transport Policy, 2021 - Elsevier
Abstract Bike Sharing Systems (BSS) have gained popularity all over the world. BSS
success requires efficient location of stations and the rebalancing of the network, both of …

Long term time series prediction of bike sharing trips: A cast study of Budapest city

A Jaber, B Csonka, J Juhász - 2022 Smart City Symposium …, 2022 - ieeexplore.ieee.org
Bike-sharing services provide easy access to environmentally-friendly mobility reducing
congestion in urban areas. Increasing demand requires more service planning based on the …

Context-aware demand prediction in bike sharing systems: Incorporating spatial, meteorological and calendrical context

C Sardinha, AC Finamore, R Henriques - arXiv preprint arXiv:2105.01125, 2021 - arxiv.org
Bike sharing demand is increasing in large cities worldwide. The proper functioning of bike-
sharing systems is, nevertheless, dependent on a balanced geographical distribution of …

Short-term demand forecasting for bike sharing system based on machine learning

H Yang, X Zhang, L Zhong, S Li… - 2019 5th International …, 2019 - ieeexplore.ieee.org
This paper takes the New York Citi Bike public bicycle system as the research object, and
uses the public bicycle historical operation data, weather data, and holiday information to …

[PDF][PDF] Multidimensional Modeling and Integration of Micro-Mobility Modes in the Transportation Systems

A Jaber - 2024 - researchgate.net
Cycling, as a mode of transportation, plays a pivotal role in modern urban mobility. Beyond
its environmental benefits and contribution to traffic calming, cycling fosters a healthier …

[PDF][PDF] Análisis predictivo de datos abiertos sobre el uso turístico del servicio de alquiler compartido de bicicletas de Nueva York

CEJ Gómez, JC Roma - … , Master Universitario en Ciencia de Datos, 2018 - academia.edu
En este trabajo se analiza desde la metodología de la Ciencia de Datos un conjunto de
datos abiertos sobre el uso del servicio de alquiler de bicicletas de Nueva York por usuarios …