Results 11 to 20 of about 2,438 (225)

Comparative Insights Into E-Scooter Usage Prediction Through Machine Learning and Deep Learning Techniques

Journal of Advanced Transportation
Shared micromobility services are experiencing rapid growth, particularly in addressing last-mile transportation needs. The most crucial questions focus on identifying the determinants of user behavior and the factors driving demand for micromobility ...
Gokhan Yurdakul, Nezir Aydin, Sukran Seker, Hao Yu   +3 more
doaj   +2 more sources

New York State Climate Impacts Assessment Chapter 09: Transportation. [PDF]

Ann N Y Acad Sci
Abstract The transportation sector's functionality depends on climate conditions. Many New York State residents, communities, businesses, and institutions have already experienced transportation‐related climate change impacts, and many more will experience impacts in the future.
Macdonald A, McDonald J, Schmitt T, Cai H, Ceponis J, Cullen C, Dutta P, Ruiz AC, Stevens A.   +8 more
europepmc   +2 more sources

Chapter 13 - Sharing strategies: carsharing, shared micromobility (bikesharing and scooter sharing), transportation network companies, microtransit, and other innovative mobility modes [PDF]

, 2020
Shared mobility—the shared use of a vehicle, bicycle, or other mode—is an innovative transportation strategy that enables users to gain short-term access to transportation modes on an “as-needed” basis.
Botsman, Cervero, Chan, Dorinson, Martin, Rayle, Sioui   +6 more
core   +1 more source

What Drives Shared Micromobility Ridership?

, 2023
Shared micromobility (e.g., e-scooters, bikes, e-bikes) offers moderate-speed, space-efficient, and “carbon-light” mobility, promoting environmental sustainability and healthy travel. While the popularity and use of shared micromobility has grown significantly over the past decade, it represents a small share of total trips in urban areas.
Hyland, Michael, PhD, Saphores, Jean-Daniel, PhD, Ghaffar, Arash   +2 more
openaire   +3 more sources

Shared E-Scooters and the Promotion of Equity across Urban Public Spaces—A Case Study in Braga, Portugal

Applied Sciences, 2023
Shared e-scooters were introduced in urban public spaces as a way to promote a modal shift from cars in short-distance trips, as well as to improve sustainability, resilience, and equity in urban transport.
Gabriel Dias, Paulo Ribeiro, Elisabete Arsenio   +2 more
doaj   +1 more source

Equipping Active Travel Advocates with Digital Mobility Data and Tools: An Evaluation of a US Trial Program

Active Travel Studies, 2023
Shared micromobility services that offer bikes and scooters on demand are complementing walking, cycling, and public transport to expand the role of active mobility in urban transportation.
Angela Sanguinetti, Eli Alston-Stepnitz
doaj   +2 more sources

Gender perspectives on electric micromobility use

Human Factors and Ergonomics in Manufacturing &Service Industries, Volume 33, Issue 6, Page 476-489, November 2023., 2023
Abstract Electric micromobility (e‐micromobility) offers the potential to enhance the sustainability of first‐ and last‐mile journeys in urban areas by reducing the number of private vehicle trips. As a new mode of transport, it is imperative that it is not subject to the same male bias that has been evidenced across our existing transport networks. An
Katie J. Parnell, Siobhan E. Merriman, Katherine L. Plant   +2 more
wiley   +1 more source

Shared micromobility-driven modal identification of urban bridges

Automation in Construction, 2022
Abstract Recent research in Indirect Structural Health Monitoring (ISHM) uses the dynamic response of instrumented vehicles to carry out “drive-by” monitoring of bridges. These vehicles are generally cars or trucks instrumented with different types of sensors. However, some urban bridges are inaccessible to regular vehicles.
Quqa S., Giordano P. F., Limongelli M. P.   +2 more
openaire   +1 more source

Prediction of Bike‐sharing Trip Counts: Comparing Parametric Spatial Regression Models to a Geographically Weighted XGBoost Algorithm

Geographical Analysis, Volume 55, Issue 4, Page 651-684, October 2023., 2023
Regression models are commonly applied in the analysis of transportation data. This research aims at broadening the range of methods used for this task by modeling the spatial distribution of bike‐sharing trips in Cologne, Germany, applying both parametric regression models and a modified machine learning approach while incorporating measures to ...
Katja Schimohr, Philipp Doebler, Joachim Scheiner   +2 more
wiley   +1 more source

Current Trends in Smart Cities: Shared Micromobility

, 2022
6th International Conference on Smart City Applications -- OCT 27-29, 2021 -- Safranbolu, TURKEY Population growth trends in cities have made urban mobility even more difficult. Problems arise in mobility systems, which become more difficult with the increase in population, in issues such as private vehicle ownership, traffic jams, and environmental ...
Rukiye Gizem Öztaş Karlı, Selma Çelikyay   +1 more
openaire   +3 more sources