Synthetic populations of travelers and their detailed mobility behavior are an important basis
for agent-based transport simulations, which are increasingly used in transport planning and …

The rapid expansions of urban rail networks are faced with the growing number of
disruptions caused by the complex rail signaling systems, incorrect driving behaviors, and …

Sharing data with third parties is essential for advancing science, but it is becoming more
and more difficult with the rise of data protection regulations, ethical restrictions, and growing …

With the aim of building realistic model of social systems, designers of agent-based models
tend to incorporate more and more data and this data is of course having an impact on their …

The advent of autonomous vehicle technologies and the emergence of new ride-sourcing
business models has spurred interest in Automated Mobility-on-Demand (AMOD) as a …

The frequent urban floods have seriously affected the regional sustainable development in
recent years. It is significant to understand the characteristics of urban flood risk and …

This research presents a sophisticated framework for the precise downscaling of population
data from census blocks to individual residential units, employing an integration of housing …

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively
evaluate the resilience of urban transportation systems. Based on systemic thinking and …

Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic
congestion and urban pollution. In addition to measures such as re-designing …

Population synthesis is concerned with the generation of synthetic yet realistic
representations of populations. It is a fundamental problem in the modeling of transportation …