This paper surveys urban courier routing, pointing out the learning process of the
generalized travel cost enhanced by using innovations related to the introduction of …

Ride-hailing demand prediction plays an important role in ride-hailing vehicle scheduling,
traffic condition control and intelligent transportation system construction. Accurate and real …

In pursuit of strategic sustainable development goals, this study seeks to analyze the spatial
placement of vertiports for urban air mobility, positioning them as integral components within …

As app-based ride-hailing (or e-hailing) services have achieved great success worldwide,
the traditional taxi industry faces an unprecedented crisis. To gain a deeper understanding …

The COVID-19 pandemic has brought new risks and stress for paid transport users
worldwide. COVID-19 has changed mobility dynamics worldwide, including low-and middle …

This paper aims to explore the spatio-temporal variation of ride-hailing demands under
different travel distances, using operation data of ride-hailing in Chengdu, China. First, the …

This study proposes a framework of an urban passenger-and-package sharing (PPS)
system that utilizes e-hailing taxis to transport packages in addition to passengers. We …

Shared mobility is growing rapidly and changing the mobility landscape. The COVID-19
pandemic has complicated travel mode choice behavior in terms of shared mobility, but the …

This study aimed to examine the underlying interrelationships between traditional taxi
services and online ride-hailing. To this end, demand data for these two mobility modes …

Weigh-in-motion (WIM) systems are essential for efficient transportation and monitoring
parameters such as vehicle number, speed, and weight to ensure regulatory compliance …