Results 51 to 60 of about 188 (167)
Multi‐aspect permutation tests for model selection
Abstract In typical machine learning frameworks, model selection is of fundamental importance: commonly, multiple models have to be trained and compared in order to identify the one with the best predictive performances. The aim of this study is to provide a new tool to improve the model selection process, allowing the user to identify the algorithm ...
Elena Barzizza +2 more
wiley +1 more source
The Investigation of Effective Parameters on Trip Length of Bikesharing Systems (BSS)
Various bike sharing systems (BSS) were designed and used in different cities of the world in the past decade. Many benefits of the BSS have supplied a rapid growth of this transport mode in all around the world. BSS mainly have many benefits such as traffic (flexible mobility and multimodal transport connections), health (physical activity) and cost ...
AYDIN, Metin Mutlu +1 more
openaire +3 more sources
Is Bikesharing Contagious?: Modeling Its Effects on System Membership and General Population Cycling [PDF]
Bikeshare systems are relatively new, highly visible additions to urban transportation systems that provide opportunities to cycle or combine cycling with other modes of transportation. The research reported here presents new evidence about the role of bikeshare systems in travel behavior on the basis of diffusion of innovation theory.
Schoner, Jessica E +2 more
openaire +2 more sources
Identification Dockless Bike‐Sharing and Metro Transfer Travelers through Mobility Chain
The burgeoning dockless bike‐sharing system presents a promising solution to the first‐ and last‐mile transportation challenge by connecting trip origins/destinations to metro stations. However, the differentiation between metro passengers and DBS riders, as they belong to distinct systems, hinders the precise identification of DBS‐metro transfers ...
Xiang Li +4 more
wiley +1 more source
Usage Patterns of Electric Bicycles: An Analysis of the WeBike Project
This paper presents an analysis of data collected through the Waterloo WeBike project: a field trial in which over 30 sensor‐equipped electric bicycles (e‐bikes) were given to members of the University of Waterloo for personal use. Our dataset includes e‐bike trips and battery charging sessions spanning nearly three years, from summer 2014 until spring
Christian Gorenflo +4 more
wiley +1 more source
Do e-bikes matter for bikeshare safety? Early evidence from Baltimore Bikeshare system
This article is part of the Proceedings of the 6th Annual International Cycling Safety Conference held in Davis, California, USA on September 20th through 23rd in the year 2017.Paper ID ...
Azaddisfany, Mojdeh +1 more
openaire +1 more source
Understanding the Spatial Variation of Integrated Use of Ride‐Hailing Services With the Metro
This study aims to explore the spatial heterogeneity of influential factors of integrated use of ride‐hailing service with the metro. Using the operation data of ride‐hailing services in Chengdu, China, first, an identification method of integrated ride‐hailing trips is proposed.
Mingyang Du +6 more
wiley +1 more source
Objectives This study developed an analytical framework that aims at understanding the evolutionary processes of a micro-mobility system (for example, bike-sharing), which offers insights into the transforming nature of a city transport system.
Liye Zhang, Jie Song
doaj +1 more source
Design of an innovative sanitation system for bike-sharing service
The concept of a novel sanitization device specifically designed for helmets used in bike share services is presented in this scientific work. The system uses ozone, a powerful oxidizing agent, to completely remove dust and bacteria from the helmet ...
Leonardo Frizziero +3 more
doaj +1 more source
Bikeshare systems usually relocate bikes to respond to a mismatch between demand and bike supply, imposing substantial costs to operators despite the effort to encourage users to participate in voluntary rebalancing.
Gyugeun Yoon
doaj +1 more source

