This study proposes an approach for modeling travel behavior under uncertainty coupling
Cumulative Prospect Theory (CPT) with Multi-attribute Decision Making (MADM) theory. CPT …

The behavior of drivers in charging a battery electric vehicle (BEV) can be influenced by
psychological factors such as personality and risk preference. This paper proposes a …

To achieve net-zero emissions, major countries have implemented energy transition and
electrification policies, incurring significant costs. Each sector, including generation, industry …

With the continuous evolution and refinement of urban functional spaces, the escalating
reliance of commuters on public transportation for work-related travel has surged with time …

This paper utilizes the well-known Cumulative Prospect Theory (CPT) to study how travel
mode choice is affected by travel time reliability. Prospect Theory (PT) was originally …

This paper proposes a novel congestion pricing scheme for the metropolitan urban networks
where a cumulative prospect theory (CPT) is adopted to quantify the travelers' degree of …

With the popularization and promotion of electric vehicles (EVs), their interactions with
power grids and traffic networks have increasingly deepened. Accurate modelling of EV …

Co-urbanized areas around large cities in developing countries face the problem of spatial
disconnection between supply and demand areas of ecosystem services (ES). To explore …

This paper aims to develop a paradigm that models the learning behavior of intelligent
agents (including but not limited to autonomous vehicles, connected and automated …

In the area of urban transportation networks, a growing number of day-to-day (DTD) traffic
dynamic theories have been proposed to describe the network flow evolution, and an …