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 …

We present a novel order dispatch algorithm in large-scale on-demand ride-hailing
platforms. While traditional order dispatch approaches usually focus on immediate customer …

Bike sharing provides an environment-friendly way for traveling and is booming all over the
world. Yet, due to the high similarity of user travel patterns, the bike imbalance problem …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

To operate a bike-sharing system efficiently, system operators need to accurately predict
how many bikes are to be rented and returned throughout the city. In this paper, we propose …

Urban functions refer to the purposes of land use in cities where each zone plays a distinct
role and cooperates with each other to serve people's various life needs. Understanding …

Bike sharing is emerging globally as an active, convenient, and sustainable mode of
transportation. To plan successful bike-sharing systems (BSSs), many cities start from a …

As a healthy, efficient and green alternative to motorized urban travel, bike sharing has been
increasingly popular, leading to wide deployment and use of bikes instead of cars. Accurate …

Cycling as a mode of transportation brings certain benefits to the user, such as improving
health and saving money. It can provide a significant improvement in the quality of city life …

Recent developments in sensor networks and mobile computing led to a huge increase in
data generated that need to be processed and analyzed efficiently. In this context, many …