As a favorite urban public transport mode, the bike sharing system is a largescale and complicated system, and there exists a key requirement that a user and a bike should be matched sufficiently in time. Such matched behavior makes analysis of the bike sharing systems more difficult and challenging. To design a better bike sharing system, it is a key to analyze and compute the probabilities of...

Many factors have been advanced to predicate the sustainability of bike sharing system (BSS) and usage, such as fleet size, number docking stations, payment type financial support, but there few studies that examine survival duration BSS’ operation. Therefore, this study investigates determinants duration, using monitoring map respective annual report data from 106 cities around world. Three ca...

An e-bike sharing system (e-BSS) solves many of the shortcomings BSS but requires high financial investments compared to BSS. This article proposes a sustainable and targeted extension existing with e-bikes charging piles. The in selected city area is divided into sub-areas using Voronoi diagram reference points (landmarks). Then, integrated approach Analytic Hierarchy Process (AHP) Data Envelo...

Bike sharing systems have been gaining prominence all over the world with more than 500 successful systems being deployed in major cities like New York, Washington, London. With an increasing awareness of the harms of fossil based mean of transportation, problems of traffic congestion in cities and increasing health consciousness in urban areas, citizens are adopting bike sharing systems with z...

Bike sharing can play a role in providing access to transit stations and then to final destinations, but early implementation of these systems in North America has been opportunistic rather than strategic. This study evaluates local intermodal plan goals using trip data and associated infrastructure such as transit stops and bike share station locations in Austin, Texas, and Chicago, Illinois. ...

Bike sharing systems have rapidly developed around the world, and they are served as a promising strategy to improve urban traffic congestion and to decrease polluting gas emissions. So far performance analysis of bike sharing systems always exists many difficulties and challenges under some more general factors. In this paper, a more general large-scale bike sharing system is discussed by mean...

The paper develops models for modeling the availability of bikes in San Francisco Bay Area Bike Share System (BSS) applying machine learning at two levels: network and station. Investigating BSSs station-level is full problem that would provide policymakers, planners, operators with needed level details to make important choices conclusions. We used Random Forest Least-Squares Boosting as univa...