A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the
increased traffic in dense cities and are expanding considerably. However, these new micro …
increased traffic in dense cities and are expanding considerably. However, these new micro …
Network and station-level bike-sharing system prediction: A San Francisco bay area case study
The paper develops models for modeling the availability of bikes in the San Francisco Bay
Area Bike Share System (BSS) applying machine learning at two levels: network and station …
Area Bike Share System (BSS) applying machine learning at two levels: network and station …
Dynamic linear models to predict bike availability in a bike sharing system
MH Almannaa, M Elhenawy… - International journal of …, 2020 - Taylor & Francis
A significant increase in the use of a bike sharing systems (BSSs) can cause imbalances in
the distribution of bikes, creating logistical challenges. Moreover, imbalanced BSSs …
the distribution of bikes, creating logistical challenges. Moreover, imbalanced BSSs …
[HTML][HTML] A novel crowdsourcing model for micro-mobility ride-sharing systems
Substantial research is required to ensure that micro-mobility ride sharing provides a better
fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride …
fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride …
Developing a novel crowdsourcing business model for micro-mobility ride-sharing systems: Methodology and preliminary results
Micro-mobility ride-sharing is an emerging technology that provides access to the transit
system with minimum environmental impacts. Significant research is required to ensure that …
system with minimum environmental impacts. Significant research is required to ensure that …
Incremental learning models of bike counts at bike sharing systems
Bike sharing systems (BSSs) have become a convenient and environmentally friendly
transportation mode, but may suffer from logistical issues such as bike shortages at stations …
transportation mode, but may suffer from logistical issues such as bike shortages at stations …
Traffic state prediction: A traveler equity and multi-modal perspective
Traffic congestion has become a major problems in many urban areas, and has related
environmental, economic, and equity impacts. One potential method of reducing urban traffic …
environmental, economic, and equity impacts. One potential method of reducing urban traffic …
[HTML][HTML] Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing
MH Almannaa - 2019 - vtechworks.lib.vt.edu
The large increase in on-road vehicles over the years has resulted in cities facing
challenges in providing high-quality transportation services. Traffic jams are a clear sign that …
challenges in providing high-quality transportation services. Traffic jams are a clear sign that …