Journal ArticleDOI
Large-Scale Vehicle Sharing Systems: Analysis of Vélib'
TLDR
A quantitative analysis of the pioneering large-scale bicycle sharing system, Vélib' in Paris, France, provides key insights on the functioning of such systems and serves to inform policy makers in other urban communities wanting to explore bicycle-sharing systems.About:
This article is published in International Journal of Sustainable Transportation.The article was published on 2013-01-01. It has received 303 citations till now. The article focuses on the topics: Fleet management & Systems analysis.read more
Citations
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Journal ArticleDOI
Urban Computing: Concepts, Methodologies, and Applications
TL;DR: The concept of urban computing is introduced, discussing its general framework and key challenges from the perspective of computer sciences, and the typical technologies that are needed in urban computing are summarized into four folds.
Journal ArticleDOI
Bike Share: A Synthesis of the Literature
TL;DR: In this paper, the authors provide an overview of bike share programs, followed by a critical examination of the growing body of literature on these programs, including a synthesis of previous works, both peer-reviewed and gray, including an identification of the current gaps in knowledge related to the impacts of bike sharing programs.
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Inventory rebalancing and vehicle routing in bike sharing systems
TL;DR: A new cluster-first route-second heuristic is proposed, in which a polynomial-size Clustering Problem simultaneously considers the service level feasibility and approximate routing costs and shows that it outperforms a pure mixed-integer programming formulation and a constraint programming approach.
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Static repositioning in a bike-sharing system: models and solution approaches
TL;DR: This paper presents two mixed integer linear program formulations of a routing model that generalizes existing routing models in the literature and indicates that one of the formulations is very effective in obtaining high quality solutions to real life instances of the problem.
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How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal
TL;DR: The authors examine the influence of meteorological data, temporal characteristics, bicycle infrastructure, land use and built environment attributes on arrival and departure flows at the station level using a multilevel statistical model technique that is replicable for other regions to adopt.
References
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Journal ArticleDOI
Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future
TL;DR: In this article, a demand-responsive, multimodal system for bikesharing has been proposed, and a range of existing business models are discussed, including bicycle theft and vandalism, bicycle redistribution, information systems (e.g., real-time information), insurance and liability concerns, and pre-launch considerations.
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Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system
TL;DR: This paper provides an analysis of human mobility data in an urban area using the amount of available bikes in the stations of the community bicycle program Bicing in Barcelona to detect temporal and geographic mobility patterns within the city.
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A decision support system for vehicle relocation operations in carsharing systems
TL;DR: In this article, a three-phase optimization-trend-simulation (OTS) decision support system for carsharing operators to determine a set of near-optimal manpower and operating parameters for the vehicle relocation problem is presented.
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Car Sharing: A New Approach to Urban Transportation Problems
TL;DR: In this paper, the early adopters of Car Sharing Portland (CSP), the first commercial car-sharing organization in the United States, are reported, and the results are discussed in terms of the potential environmental consequences of car sharing and the effects of the car sharing experience on mobility behavior.
Journal ArticleDOI
Fleet Management for Vehicle Sharing Operations
Rahul Nair,Elise Miller-Hooks +1 more
TL;DR: A novel divide-and-conquer algorithm for generating p-efficient points, used to transform the problem into a set of disjunctive, convex MIPs and handle dual-bounded chance constraints, is proposed.