Œis paper presents SAFEBIKE, a novel route recommendation system for bike-sharing service that utilizes station information to infer the number of available bikes in dock and recommend bike routes according to multiple factors such as distance and safety level. Œe system consists of a station level availability predictor that predicts bikes and docks amount at each station, and an ef€cient rout...

<abstract> <p>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 critical challenges operating high-quality bike-sharing is rebalancing bike stations from being full or empty. However, complex characteristics spatiotemporal dependency on usage demand may lead difficulties for trad...

Bike Sharing Systems (BSSs) allow customers to rent bicycles at automatic rental stations distributed throughout a city, use them for a short period of time, and return them to any station. One of the major issues that BSS operators must address is non-homogeneous asymmetric demand processes. These demand processes create an inherent imbalance, thus leading to shortages of bicycles, when users ...

Bike sharing systems’ popularity has consistently been rising during the past years. Managing and maintaining these emerging systems are indispensable parts of these systems. Visualizing the current operations can assist in getting a better grasp on the performance of the system. In this paper, a data mining approach is used to identify and visualize some important factors related to bike-share...

The bicycle sharing systems are increasingly numerous nowadays. These transportation systems generate sizable transportation data the mining of which can reveal the underlying urban phenomenons linked to city dynamics. This paper introduces a statistical model to automatically analyze bike sharing system trips data. This model will introduce a latent variable to partition the stations in terms ...

Over 400 cities around the world have deployed or have plans to deploy a bike sharing system. However, the factors that drive their usage and the amount of rebalancing they require are not known precisely. A knowledge of these factors would allow cities to design or modify their systems to increase usage while lowering rebalancing costs. We collect station-level occupancy data from two cities a...

In recent years, bike planning has garnered attention from planners and the public as a sustainable mode of transportation and as a means to exercise and reduce health risks. In addition, following the success of bike-share programs in cities in Paris and Lyon, France, and Montreal, Canada, and several US cities initiated similar programs. With this background, GISs have been applied to conduct...