Results 51 to 60 of about 848 (198)
This study explored the scientometrics and current dynamics of the area of sharing economy business models (SEBMs). Using bibliometric analysis, it examined a collection of 561 studies from the Web of Science and Scopus databases to detect the thematic evolution, strategy map, and emerging trends in SEBM literature as well as to forecast research ...
Carson Duan
wiley +1 more source
A rule-based model for Seoul Bike sharing demand prediction using weather data
This research paper presents a rule-based regression predictive model for bike sharing demand prediction. In recent days, Pubic rental bike sharing is becoming popular because of is increased comfortableness and environmental sustainability.
Sathishkumar V E, Yongyun Cho
doaj +1 more source
Dockless bikeshare in Amsterdam: a mobility justice perspective on niche framing struggles [PDF]
This paper conceptually integrates socio-technical transitions with a Mobility Justice framework through the method of discourse analysis. A sample of media articles and secondary sources relating to the contested introduction of dockless bikeshare in the mature cycling city of Amsterdam was analysed using Rosenbloom’s multi-dimensional discursive ...
B.J.M. Petzer +2 more
openaire +2 more sources
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
Additional file 1: Supplement Figure 1. Sample recruitment, enrollment, and retention. Supplement Methods Text. Details on measuring total physical activity levels and other variables. Supplement Table 1. Distribution of continuous measures of past 7-day
Amy H. Auchincloss (12050010) +6 more
core +1 more source
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
GIS-Based Equity Gap Analysis: Case Study of Baltimore Bike Share Program
As more cities adopt bike share systems, questions regarding equity, accessibility, expansion, and bikability arise. Baltimore City implemented bike share in 2016 with plans to expand it up to 57 stations.
Istiak A. Bhuyan +3 more
doaj +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
Using the five Ws to explore bikeshare equity in Santiago, Chile
Various studies show that bikeshare systems have positive implications for people's health, social cohesion, urban livability, and urban congestion, although many suggest bikeshare systems are not achieving equity goals, particularly regarding low-income
Mora, Rodrigo +3 more
core +1 more source

