Results 31 to 40 of about 2,461 (207)

Bikesharing across the Globe [PDF]

open access: yes, 2012
Concerns about global climate change, energy security, and unstable fuel prices have caused many decision makers and policy experts worldwideto closely examine the need for more sustainable transportation strate- gies. Sustainable strategies include clean fuels, vehicle technologies, trans- portation demand management, and integrated land use and ...
Shaheen, Susan   +2 more
openaire   +4 more sources

Spatial Analysis of Bikeshare Ridership With Smart Card and POI Data Using Geographically Weighted Regression Method

open access: yesIEEE Access, 2018
The primary objective of this paper is to explore the spatial analysis of bikeshare ridership with a consideration of the diversity across different station categories using smart card data and points of interests (POIs) data.
Jie Bao, Xiaomeng Shi, Hao Zhang
doaj   +1 more source

A case study on the impacts of COVID-19 on bus ridership, bikesharing, and equity in a small U.S. county

open access: yesJournal of Public Transportation, 2023
Several studies highlight how the coronavirus (COVID-19) lockdowns have permanently changed the way people travel, but there has been less focus on impacts outside major metropolitan areas, where alternative transportation modes are more limited or ...
Nicole S. Ngo, Andrew Martin
doaj   +1 more source

Changes in the Pattern of Bikeshare Usage due to the COVID-19 Pandemic

open access: yesFindings, 2021
Bikeshare use in New York City dropped substantially during the initial months of the COVID-19 pandemic, but by summer of 2020 had largely recovered to pre-pandemic levels. The patterns of usage, however, have changed.
Haoyun Wang, Robert Noland
doaj   +1 more source

Residents in Seattle, WA Report Differential Use of Free-Floating Bikeshare by Age, Gender, Race, and Location

open access: yesFrontiers in Built Environment, 2019
Bikesharing may have numerous urban health, sustainability, and mobility benefits. Bikesharing systems that do not require stations (i.e., “dockless,” or “free-floating” bikeshare) launched in North America in 2017.
Jana A. Hirsch   +4 more
doaj   +1 more source

Boosting the eco-friendly sharing economy: the effect of gasoline prices on bikeshare ridership in three U.S. metropolises

open access: yesEnvironmental Research Letters, 2020
Transportation has become the largest CO _2 emitter in the United States in recent years with low gasoline prices standing out from many contributors. As demand side changes are called for reducing car use, the fast-growing sharing economy shows great ...
Pan He   +3 more
doaj   +1 more source

S-Store: a streaming NewSQL system for big velocity applications [PDF]

open access: yes, 2014
First-generation streaming systems did not pay much attention to state management via ACID transactions (e.g., [3, 4]). S-Store is a data management system that combines OLTP transactions with stream processing.
Cetintemel, Ugur   +12 more
core   +1 more source

Life cycle assessment to quantify the impact of technology improvements in bike‐sharing systems

open access: yesJournal of Industrial Ecology, Volume 24, Issue 1, Page 138-148, February 2020., 2020
Abstract The reduced environmental footprint of bicycle sharing systems (BSS) is one of the reasons for their rapid growth in popularity. BSS have evolved technologically, transitioning from smart dock systems to smart bicycle systems, and it is not clear if the increased use of electronics in BSS results in a net environmental benefit.
Ricardo Javier Bonilla‐Alicea   +4 more
wiley   +1 more source

Characterising group-cycling journeys using interactive graphics [PDF]

open access: yes, 2014
The group-cycling behaviours of over 16,000 members of the London Cycle Hire Scheme (LCHS), a large public bikeshare system, are identified and analysed.
Beecham, R., Wood, J.
core   +1 more source

Machine Learning Approach to Quantity Management for Long‐Term Sustainable Development of Dockless Public Bike: Case of Shenzhen in China

open access: yesJournal of Advanced Transportation, Volume 2020, Issue 1, 2020., 2020
Since the number of bicycles is critical to the sustainable development of dockless PBS, this research practiced the introduction of a machine learning approach to quantity management using OFO bike operation data in Shenzhen. First, two clustering algorithms were used to identify the bicycle gathering area, and the available bike number and ...
Qingfeng Zhou   +3 more
wiley   +1 more source

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