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Resources Relocation Support Strategy Based on a Modified Genetic Algorithm for Bike-Sharing Systems
Mathematics, 2023 In recent decades, special attention has been given to the adverse effects of traffic congestion. Bike-sharing systems, as a part of the broader category of shared transportation systems, are seen as viable solutions to these problems.
Horațiu Florian +4 more
doaj +1 more source
Automatic bike sharing system planning from urban environment features
Transportmetrica B: Transport Dynamics, 2023 The planning process for bike sharing systems is often complex, involving multiple stakeholders and several considerations: finding hotspots in the potential demand, and dimensioning the system, requires an intimate knowledge of urban mobility patterns ...
Nicolai A. Weinreich +3 more
semanticscholar +1 more source
A simulation model for public bike-sharing systems [PDF]
, 2018 Urban areas are in need of efficient and sustainable mobility services. Public bicycle sharing systems stand out as a promising alternative and many cities have invested in their deployment.
Casado, V. +2 more
core +1 more source
Digital Communications and Networks, 2022 Mobile bike-sharing services have been prevalently used in many cities as an important urban commuting service and a promising way to build smart cities, especially in the new era of 5G and Internet-of-Things (IoT) environments.
Xiaoxian Yang +4 more
doaj +1 more source
The paradox of public acceptance of bike sharing in Gothenburg [PDF]
, 2015 Bike sharing is one of the most promising urban planning interventions to facilitate an all-necessary transition towards a more sustainable transport paradigm.
Alexandros Nikitas +11 more
core +2 more sources
Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London [PDF]
PLoS ONE, 2021 The COVID-19 pandemic has been influencing travel behaviour in many urban areas around the world since the beginning of 2020. As a consequence, bike-sharing schemes have been affected—partly due to the change in travel demand and behaviour as well as a ...
S. Heydari +2 more
semanticscholar +1 more source
A spatio-temporal deep learning model for short-term bike-sharing demand prediction
Electronic Research Archive, 2023 Bike-sharing systems are widely operated in many cities as green transportation means to solve the last mile problem and reduce traffic congestion. One of the critical challenges in operating high-quality bike-sharing systems is rebalancing bike stations
Ruo Jia +6 more
doaj +1 more source
Smart Bike Sharing System to make the City even Smarter
, 2017 These last years with the growing population in the smart city demands an efficient transportation sharing (bike sharing) system for developing the smart city.
Rani, Monika, Vyas, O. P.
core +1 more source
Bicycle-Sharing System Analysis and Trip Prediction
, 2016 Bicycle-sharing systems, which can provide shared bike usage services for the public, have been launched in many big cities. In bicycle-sharing systems, people can borrow and return bikes at any stations in the service region very conveniently. Therefore,
Li, Moyin +3 more
core +1 more source
Fleet management in free-floating bike sharing systems using predictive modelling and explorative tools [PDF]
, 2020 For redistribution and operating bikes in a free-floating systems, two measures are of highest priority. First, the information about the expected number of rentals on a day is an important measure for service providers for management and service of ...
Heitz, Christoph, Templ, Matthias
core +2 more sources