Results 191 to 200 of about 3,721 (248)
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Will they ride them back? User behavior on public bikesharing schemes: Case study of Hangzhou, China

International Journal of Sustainable Transportation, 2022
In order to study user behavior to support the management of Station-based Bikesharing Systems (SBS), Free-floating Bikesharing Systems (FBS), and the whole public bikesharing system, this study scrutinized factors that influence bikeshare-user patterns ...
Mengwei Chen   +4 more
semanticscholar   +1 more source

Study of the Demand for Ecological Means of Transport in Micromobility: A Case of Bikesharing in Szczecin, Poland

Sustainability
The need for urban societies to move continues to grow with the intensity of their various activities. One of the challenges in micromobility in cities based on bike, scooter, or public scooter systems is determining the potential yet realistic demand ...
A. Wolnowska, L. Kasyk
semanticscholar   +1 more source

Planning car-lite neighborhoods: Does bikesharing reduce auto-dependence?

, 2021
Bike enthusiasts argue that bikesharing programs can be an important element of sustainable mobility planning in the urban cores of large metropolitan areas.
Rounaq Basu, J. Ferreira
semanticscholar   +1 more source

Complementary or Competing? Studying the Relationship between E-Scooter Sharing and Bikesharing in Austin, Texas

Journal of planning education and research
The correlation between e-scooter sharing (ESS) and docked bikesharing (DBS) remains ambiguous. This study compared usage patterns between the two modes in Austin, Texas, aiming to unveil their evolving relationship.
Peng Chen, Songhua Hu
semanticscholar   +1 more source

Empirical evidence on the impacts of bikesharing: a literature review

, 2020
In recent years, bikesharing has become one of the most popular policies promoting cycling across the world. As the number of bikesharing systems (BSS) continues to rise, it is increasingly important to quantify their expected benefits.
J. F. Teixeira   +2 more
semanticscholar   +1 more source

Drivers of loyalty and consumer satisfaction with shearing urban mobility services: Carsharing, ridesharing, bikesharing, and kicksharing

Economics and Management
Aim. To identify drivers of loyalty and consumer satisfaction with urban mobility shearing services.Objectives. To determine the characteristics of the use of shearing services; to formulate issues for shearing services that require priority attention ...
L. Lapidus, A. Gostilovich, I. Trofimov
semanticscholar   +1 more source

Bikeshare Users on a Budget? Trip Chaining Analysis of Bikeshare User Groups in Chicago

Transportation Research Record: Journal of the Transportation Research Board, 2019
This analysis focuses on a smartphone app known as “Transit” that is used to unlock shared bicycles in Chicago. Data from the app were utilized in a three-part analysis. First, Transit app bikeshare usage patterns were compared with system-wide bikeshare utilization using publicly available data.
Siyue Yang   +3 more
openaire   +1 more source

Where Do Bikeshare Bikes Actually Go?: Analysis of Capital Bikeshare Trips with GPS Data

Transportation Research Record: Journal of the Transportation Research Board, 2017
Bikeshare systems with docking stations have gained popularity in cities throughout the United States—and have increased from six programs with 2,300 bikes in 2010 to 74 systems with 32,200 bikes in 2016. Even though bikeshare systems generate a wealth of data about bicycle checkout and check-in locations and times at docking stations, virtually ...
Jon Wergin, Ralph Buehler
openaire   +1 more source

How the COVID-19 Pandemic Affected Spatio-Temporal Usage Patterns in a Bikesharing System

IISE Annual Conference & Expo 2024
Bicycle sharing became a popular mode of transportation in cities until the COVID-19 pandemic, when providers faced a loss in ridership, although cycling was recommended for social distancing.
V. Garcia, V. Maier-Speredelozzi
semanticscholar   +1 more source

COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS IN THE PROBLEM OF FORECASTING THE DYNAMICS OF BIKESHARING

Транспорт: Наука, техника, управление
Экспериментально подтверждена эффективность современных инструментов машинного обучения для решения задачи прогнозирования объема арендуемых велосипедов в системе велошеринга. Для сравнения привлекались следующие методы: наивный байесовский классификатор;
В.А. Дюк   +1 more
semanticscholar   +1 more source

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