[HTML][HTML] Unpacking the perceived cycling safety of road environment using street view imagery and cycle accident data
Cycling, as a routine mode of travel, offers significant benefits in promoting health,
eliminating emissions, and alleviating traffic congestion. Many cities, including London, have …
eliminating emissions, and alleviating traffic congestion. Many cities, including London, have …
Should bike-sharing continue operating during the COVID-19 pandemic? Empirical findings from Nanjing, China
Abstract Introduction Coronavirus disease 2019 (COVID-19) has triggered a worldwide
outbreak of pandemic, and transportation services have played a key role in coronavirus …
outbreak of pandemic, and transportation services have played a key role in coronavirus …
Short-term prediction of bike-sharing demand using multi-source data: a spatial-temporal graph attentional LSTM approach
As a convenient, economical, and eco-friendly travel mode, bike-sharing greatly improved
urban mobility. However, it is often very difficult to achieve a balanced utilization of shared …
urban mobility. However, it is often very difficult to achieve a balanced utilization of shared …
Predicting electric vehicle charging station availability using ensemble machine learning
Electric vehicles may reduce greenhouse gas emissions from individual mobility. Due to the
long charging times, accurate planning is necessary, for which the availability of charging …
long charging times, accurate planning is necessary, for which the availability of charging …
Season wise bike sharing demand analysis using random forest algorithm
Rental bike sharing is an urban mobility model that is affordable and ecofriendly. The public
bike sharing model is widely used in several cities across the world over the past decade …
bike sharing model is widely used in several cities across the world over the past decade …
[HTML][HTML] Fleet availability analysis and prediction for shared e-scooters: An energy perspective
E-scooters have become a prevalent mode of transportation in many cities. The availability
of e-scooters is a crucial indicator of service quality but has not been sufficiently …
of e-scooters is a crucial indicator of service quality but has not been sufficiently …
Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data
With growing environmental concerns and the exploitation of ubiquitous big data, smart
transportation is transforming logistics business and operations into a more sustainable …
transportation is transforming logistics business and operations into a more sustainable …
Forecasting usage and bike distribution of dockless bike‐sharing using journey data
M Hua, J Chen, X Chen, Z Gan… - IET Intelligent …, 2020 - Wiley Online Library
Dockless bike‐sharing (DBS) is a novel and prevalent bike‐sharing system without stations
or docks. DBS has the advantages of convenience and real‐time positioning, whereas it …
or docks. DBS has the advantages of convenience and real‐time positioning, whereas it …
A censored semi-bandit model for resource allocation in bike sharing systems
N Xie, Z Li, Z Liu, S Tan - Expert Systems with Applications, 2023 - Elsevier
Resource allocation is an essential problem in the application of bike sharing systems.
Demand estimation from historical data plays an important role in bike resource allocation …
Demand estimation from historical data plays an important role in bike resource allocation …
[Retracted] CNN‐GRU‐AM for Shared Bicycles Demand Forecasting
Y Peng, T Liang, X Hao, Y Chen… - Computational …, 2021 - Wiley Online Library
The demand forecast of shared bicycles directly determines the utilization rate of vehicles
and projects operation benefits. Accurate prediction based on the existing operating data …
and projects operation benefits. Accurate prediction based on the existing operating data …