A systematic literature review on machine learning in shared mobility

J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …

Forecasting bike sharing demand using quantum Bayesian network

R Harikrishnakumar, S Nannapaneni - Expert Systems with Applications, 2023 - Elsevier
In recent years, bike-sharing systems (BSS) are being widely established in urban cities to
provide a sustainable mode of transport, by fulfilling the mobility requirements of public …

Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich

V Mahajan, G Cantelmo, C Antoniou - European Transport Research …, 2021 - Springer
Background The COVID-19 pandemic is a new phenomenon and has affected the
population's lifestyle in many ways, such as panic buying (the so-called “hamster …

Identifying service bottlenecks in public bikesharing flow networks

D Lei, L Cheng, P Wang, X Chen, L Zhang - Journal of Transport …, 2024 - Elsevier
Abstract Service bottlenecks are a key barrier to building a resilient public transport system.
In this paper, we propose a new approach to automatically extract the role of a station in …

[HTML][HTML] Forecasting the usage of bike-sharing systems through machine learning techniques to foster sustainable urban mobility

J Torres, E Jiménez-Meroño, F Soriguera - Sustainability, 2024 - mdpi.com
Bike-sharing systems can definitely contribute to the achievement of sustainable urban
mobility. In spite of this potential, their planning and operation are not free of difficulties. The …

Investigation on the joint travel behavior in bike sharing systems during the COVID-19 pandemic: Insights from New York City

H Bi, H Gao, A Li, Z Ye - Journal of Transport Geography, 2024 - Elsevier
As the COVID-19 pandemic worsened, many people saw bikes as one of the safest means
of transportation in the hard-hit cities. All the bike sharing utilization patterns during the …

Rebalancing in bike sharing systems: Application to the Lisbon case study

MR Chastre, AR Andrade - Case studies on transport policy, 2023 - Elsevier
This work presents a mathematical programming formulation for the static Bike Rebalancing
Problem to meet the practical constraints faced by the operators of Bike Sharing Systems …

Data-Driven Approach for Defining Demand Scenarios for Shared Autonomous Cargo Bike Fleets

M Kania, VD Mukku, K Kastner, T Assmann - Applied Sciences, 2023 - mdpi.com
Bike sharing systems have become a sustainable alternative to motorized private transport
in urban areas. However, users often face high costs and availability issues due to the …

Changes in urban mobility related to the public bike system with regard to weather conditions and statutory retail restrictions

M Borowska-Stefańska, M Mikusova, M Kowalski… - Remote Sensing, 2021 - mdpi.com
The main purpose of the paper is to determine changes in transport behaviour of users of
the public bike-share (PBS) scheme in a large Polish city, Łódź. By tracking GPS signals for …

CGA-STNet: A dockless shared bicycle demand prediction model considering multiple spatial features and time periodicity

H Qian, J Wang, Y Chen, S Zheng, Z Wei - Expert Systems with Applications, 2025 - Elsevier
The rapid expansion of dockless bicycle-sharing systems has presented challenges in
efficiently scheduling bicycles due to their uneven distribution across time and space. The …