This paper presents a comprehensive literature review focused on the supply side of
mobility services, providing relevant insights at the conceptual, operational, and modelling …

Cities are moving towards new mobility strategies to tackle smart cities' challenges such as
carbon emission reduction, urban transport multimodality and mitigation of pandemic …

This study proposes a novel Graph Convolutional Neural Network with Data-driven Graph
Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations …

The “sharing economy” has recently emerged as a major global phenomenon in practice
and is consequently an important research topic. What, precisely, is meant by this …

Public bike-sharing has gained much attention with the tide of sharing economy.
Empowered by modern technologies (eg, GPS devices and smartphone-based APPs), a …

Currently Rental bikes are introduced in many urban cities for the enhancement of mobility
comfort. It is important to make the rental bike available and accessible to the public at the …

Cameras are deployed at scale with the purpose of searching and tracking objects of
interest (eg, a suspected person) through the camera network on live videos. Such cross …

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 …

An important question in planning and designing bike-sharing services is to support the
user's travel demand by allocating bikes at the stations in an efficient and reliable manner …

Short-term demand prediction is important for managing transportation infrastructure,
particularly in times of disruption, or around new developments. Many bike-sharing schemes …