Bike sharing systems have been recently adopted by a growing number of cities as a new means of transportation offering citizens a flexible, fast and green alternative for mobility. Users can pick up or drop off the bicycles at a station of their choice without prior notice or time planning. This increased flexibility comes with the challenge of unpredictable and fluctuating demand as well as i...

Bike-sharing systems provide the public with more transport choices. To elaborate effectively and comprehensively bike sharing's prospective contribution to urban sustainable development, a quantitative estimation of environmental benefits is performed through case study New York City's bike-sharing systems. Using long-term series big data, sharing in City are evaluated from spatiotemporal pers...

The bike sharing systems are fast increasing as a public transport mode in urban short trips, and have been developed in many major cities around the world. A major challenge in the study of bike sharing systems is that large-scale and complex queueing networks have to be applied through multi-dimensional Markov processes, while their discussion always suffers a common difficulty: State space e...

In order to meet the users’ demand, bike sharing systems must be regularly rebalanced. The problem of balancing bike sharing systems (BBSS) is concerned with designing optimal tours and operating instructions for relocating bikes among stations to maximally comply with the expected future bike demands. In this paper, we tackle the BBSS by means of Constraint Programming: first, we introduce two...

Bicycle-sharing systems (BSSs) are an effective solution to reduce private car usage in most cities and influential factor encouraging citizens shift more sustainable transport modes. In this sense, the location of BSS stations has a critical impact on system’s efficiency. This study proposed integrated geographic information system–multi-criteria decision-making (GIS-MCDM) framework that inclu...