In densely populated and congested urban areas, the travel times in congested multi‐modal
transport networks are generally varied and stochastic in practice. These stochastic travel …

In this paper, we propose a new elastic demand (ED) stochastic user equilibrium (SUE)
model with an application to the combined modal split and traffic assignment (CMSTA) …

In the traffic assignment problem for predicting traffic flow patterns in a transportation
network, it is important to account for route overlap and non-identical perception variance in …

Rail transit systems often provide park-and-ride facilities as a way for passengers to access
stations. Using the land around stations for development rather than parking would allow …

Accurate travel demand forecasting is crucial before finalizing the decision to implement a
public–private partnership (PPP). While government needs to determine the government …

If not properly quantified, the uncertainty inherent to transport models makes analyses based
on their output highly unreliable. This study investigated uncertainty in four-stage transport …

Standard cost-benefit analysis (CBA) does not take into account induced demand due to
relocation triggered by infrastructure investments. Using an integrated transport and land …

Traditionally, transport planning model systems are estimated and calibrated in an
unstructured way, which does not allow for interactions among included parameters to be …

Social media constitutes a group of online applications that encourages users to create
content and interact with one another. Examples include blogs, social and professional …

Historically, forecasts of travel demand on public transit infrastructures have been found to
be optimistically biased. However, there has been a lack of data available for statistically …