The research on complex networks offers novel insight into the analysis of complex urban
systems. The objective of this article is to provide a review of complex network theory in …

In this paper, we present a series of machine learning approaches for better understanding
people's travel mode choice. The widely used Logit model is dependent on the assumption …

It is widely recognized that human-driven vehicles (HVs) and connected and autonomous
vehicles (CAVs) are expected to coexist and share the urban traffic infrastructure in the …

This paper presents an improved entropy-based freight tour synthesis (FTS) using fuzzy
logic (FL). One approach used in formulating FTS models is entropy maximization, which …

The urban rail network system plays a significant role in the urban transportation system and
urban economic development. Further study of the urban rail network properties can provide …

We focus on the location choice behavior of new residents in the urban system using the
reference-dependent theory approach. Reference-dependent theory offers an alternative …

Urban road traffic system is a time-evolving, directed weighted network in which both the
topological structure and traffic flow should be considered. In this work, we collect the real …

Hazardous materials (HAZMAT) are common in industry and agriculture, playing important
roles in the development of society and economy. Meanwhile, in actual operation processes …

With the advent of electric vertical-takeoff-and-landing (eVTOL) vehicles, it becomes
imperative to assess their impact on transportation network efficiency. Hence, this paper …

With the recent emergence of big data, there has been significant progress in the study of
big data mining and rapid developments in urban computing. With the integration of …