Results 71 to 80 of about 399 (180)

Machine Learning Models for Bike-Sharing Demand Forecasting

Future Transportation
Bike-sharing use has been growing because it improves personal mobility, offers an alternative to walking, and strengthens connections to transit. Demand forecasting is crucial for bike-sharing services because it enables operators to anticipate empty ...
Danesh Hosseinpanahi, Parang Zadtootaghaj, Jane Lin, Abolfazl (Kouros) Mohammadian, Bo Zou   +4 more
doaj   +1 more source

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

IEEE 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

Multilevel graph neural networks for bikeshare demand modeling using station and route features

npj Sustainable Mobility and Transport
Bikesharing systems are a key component of sustainable urban mobility, offering low-carbon and space-efficient alternatives to motorized travel.
Ali Behroozi, Ramin Shabanpour
doaj   +1 more source

The COVID-19 impacts on bikeshare systems in small rural communities: Case study of bikeshare riders in Montgomery County, VA. [PDF]

PLoS One, 2022
Almannaa M, Woodson C, Ashqar H, Elhenawy M.   +3 more
europepmc   +1 more source

Examining social-demographic determinants of bike-sharing station capacity

Sustainable Futures
This study applied Negative Binomial models to examine the social-demographic determinants of bike-sharing station capacity. It used social-demographic data from Smart Location Database and over 7,000 bike-sharing stations located in the United States ...
Boniphace Kutela, Hamza Mashoor Mustafa Bani Khalaf, Meshack Mihayo, Emmanuel Kidando, Angela E. Kitali   +4 more
doaj   +1 more source

Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London. [PDF]

PLoS One, 2021
Heydari S, Konstantinoudis G, Behsoodi AW.   +2 more
europepmc   +1 more source

How bikesharing changed destination distance for its users: A case study of Chicago Metropolitan Area

Journal of Transport and Land Use
Shared bike use has been growing, especially post-pandemic, because it improves personal mobility and provides an alternative to walking while increasing connectivity to transit services.
Shubhayan Ukil, Aditi Misra
doaj   +1 more source

Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19. [PDF]

Transp Policy (Oxf), 2021
Basu R, Ferreira J.
europepmc   +1 more source

Case study on the use and adaptation of SEAT MÓ motorbike sharing service in Barcelona in COVID-19 pandemic year. [PDF]

Case Stud Transp Policy, 2022
Gilibert M, Weymar A.
europepmc   +1 more source

Bikeshare Patterns in the Age of Covid

, 2020
In the past ten years, bikeshares in Washington, DC (DC) and New York City (NYC) have grown in popularity.They offer a convenient transportation and recreation option for both locals and tourists to get around each city. While normal patterns, such as day of the week and time of day, are already known to affect the use of bike shares, the effect of ...
openaire   +3 more sources