In this paper, a review of the main actions and policies that can be implemented to promote
sustainable mobility is proposed. The work aims to provide a broad, albeit necessarily not …

As a representative of shared mobility, bike sharing has become a green and convenient
way to travel in cities in recent years. Bike usage prediction becomes more important for …

The full societal impact COVID-19 pandemic is laid bare in urban mobility patterns. This
research explored the recently published data on the operation of subway and bike share …

Shared micro-mobility services have rapidly gained popularity yet challenged city
administrations to develop adequate policies while scientific insight is largely missing. From …

This research provides new evidence on factors associated with the use of four different
shared mobility options–bike-sharing, e-scooter sharing, car-sharing, and ridehailing (Uber) …

Predicting urban travel demand is important in perceiving the future state of a city, deploying
public transportation resources, and building intelligent cities. Influenced by multifarious …

Graph neural networks (GNNs) have been extensively used in a wide variety of domains in
recent years. Owing to their power in analyzing graph-structured data, they have become …

The massive industrial wastes of textile dyeing sludge (TDS) and waste shared bike tires are
becoming increasingly problematic environmentally and economically. Their co-pyrolysis …

The COVID-19 pandemic breaking out at the end of 2019 has seriously impacted urban
human mobility and poses great challenges for traffic management and urban planning. An …

The newly prevailing dockless bike-sharing system offers a decent solution to the first-and
last-mile problem and connects trip origins/destinations and transit (mostly metro) stations …