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A review on bike-sharing: The factors affecting bike-sharing demand
Sustainable Cities and Society, 2020Abstract 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, station level, socio-demographic effects, temporal factors, and safety.
Ezgi Eren, Volkan Emre Uz
exaly +2 more sources
Mean field analysis for bike and e-bike sharing systems
Electric bikes are deployed massively in preexisting bike sharing system in order to attract new users and replace cars on a larger scale (see [2]). But this causes interactions between the two populations of bikes. In this paper, we analyze a model of an homogeneous bike sharing system where two classes of bikes interact only through the finite ...
Ancel, Julien +2 more
openaire +3 more sources
In this paper, we introduce an interactive visualization system, bikesharingatlas.org, that supports the explorative data analysis of more than 468 bike-sharing networks worldwide. Being increasingly digitized, these networks nowadays produce data that can reveal interesting insights, not only into patterns of bicycle usage but also underlying spatio ...
Oppermann, Michael
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Tourists on shared bikes: Can bike-sharing boost attraction demand?
Tourism Management, 2021Abstract This study aims to investigate the impact of bike-sharing on tourist attraction demand in an urban destination. Using monthly data on 460 attractions in Chicago, Illinois from January 2013 to December 2019, we propose a difference-in-differences econometric model to examine the availability of nearby bike-sharing stations on attraction ...
Yang Yang, Lan Jiang, Zili Zhang
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Citywide Bike Usage Prediction in a Bike-Sharing System
IEEE Transactions on Knowledge and Data Engineering, 2020To operate a bike-sharing system efficiently, system operators need to accurately predict how many bikes are to be rented and returned throughout the city. In this paper, we propose a Hierarchical Consistency Prediction (HCP) model to predict the citywide bike usage in the next period.
Yexin Li, Yu Zheng 0004
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Bike sharing: A review of evidence on impacts and processes of implementation and operation
© 2015 Elsevier Ltd. Despite the popularity of bike sharing, there is a lack of evidence on existing schemes and whether they achieved their objectives.
Miriam Ricci
exaly +3 more sources
Planning Bike Lanes based on Sharing-Bikes' Trajectories
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017Cycling as a green transportation mode has been promoted by many governments all over the world. As a result, constructing effective bike lanes has become a crucial task for governments promoting the cycling life style, as well-planned bike paths can reduce traffic congestion and decrease safety risks for both cyclists and motor vehicle drivers ...
Jie Bao 0003 +4 more
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Bike-Sharing Prediction System
2016Bike Sharing System is a dynamic network. This paper proposes a method to balance the network and allocate the bikes in each station to avoid the imbalance happening. Real-time monitoring takes too much time to reallocate the bikes if an imbalance has occurred so it cannot tackle this problem well.
Qiang Cai +4 more
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