Results 61 to 70 of about 2,461 (207)

Usage Patterns of Electric Bicycles: An Analysis of the WeBike Project

open access: yesJournal of Advanced Transportation, Volume 2017, Issue 1, 2017., 2017
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

Investigating impacts of environmental factors on the cycling behavior of bicycle-sharing users [PDF]

open access: yes, 2017
As it is widely accepted, cycling tends to produce health benefits and reduce air pollution. Policymakers encourage people to use bikes by improving cycling facilities as well as developing bicycle-sharing systems (BSS). It is increasingly interesting to
Hu, Xuke   +3 more
core   +4 more sources

Understanding the Spatial Variation of Integrated Use of Ride‐Hailing Services With the Metro

open access: yesJournal of Advanced Transportation, Volume 2024, Issue 1, 2024.
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

Equity implications of electric bikesharing in Philadelphia

open access: yesGeoJournal, 2022
Bikesharing is an affordable mode of transportation and a potential tool to reduce car usage in cities. However, in many cities, bikesharing seems to be used mostly by affluent populations. Indego, Philadelphia's bikeshare, embraced the promotion of equity as part of its primary goals.
openaire   +2 more sources

Feasibility Study of a Campus-Based Bikesharing Program at UNLV [PDF]

open access: yes, 2017
Bikesharing systems have been deployed worldwide as a transportation demand management strategy to encourage active modes and reduce single-occupant vehicle travel.
Hu, Bingyi   +5 more
core   +1 more source

Using a Machine Learning Approach to Implement and Evaluate Product Line Features [PDF]

open access: yes, 2015
Bike-sharing systems are a means of smart transportation in urban environments with the benefit of a positive impact on urban mobility. In this paper we are interested in studying and modeling the behavior of features that permit the end user to access ...
Bacciu, Davide   +2 more
core   +3 more sources

Bikesharing and Bicycle Safety [PDF]

open access: yes, 2016
The growth of bikesharing in the United States has had a transformative impact on urban transportation. Major cities have established large bikesharing systems, including Boston, Chicago, Denver, Minneapolis-Saint Paul, New York City, Salt Lake City, the
Botha, Jan L.   +3 more
core   +1 more source

Using Bikeshare Datasets to Improve Urban Cycling Experience and Research Urban Cycling Behaviour [PDF]

open access: yes, 2015
With access to public and shared transport systems becoming increasingly digitized, transaction datasets of unprecedented size as well as temporal and spatial precision are automatically generated (Blythe and Bryan 2007; Bagchi and White 2005; Pelletier ...
Beecham, R.
core  

All (Food) Politics is Local: Increasing Food Access through Local Government Action [PDF]

open access: yes, 2013
Our national and international food system has implications for a wide range of issues that are important across the political spectrum and include improving health outcomes, reducing environmental impacts, increasing social justice, fostering economic ...
Broad Leib, Emily Michele
core   +1 more source

Data extraction in dockless bikeshare: An analysis from users’ perspective

open access: yesBig Data & Society
With the popularisation of dockless bicycle sharing in cities around the planet in the recent years, studies have increasingly focused on its intrusion to privacy through the extraction and monetisation of users’ personal data and travel trajectories ...
Zhaoqi Zhou
doaj   +1 more source

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