Travel demand forecasts play a crucial role in the preparation of decision support to policy-
makers in the field of transport planning. The results feed directly into impact appraisals such …

This paper proposes a novel dynamic speed limit control model accounting for uncertain
traffic demand and supply in a stochastic traffic network. First, a link based dynamic network …

This paper proposes a generalized model to estimate the peak hour origin–destination (OD)
traffic demand variation from day-to-day hourly traffic counts throughout the whole year …

The application of activity-based models of travel demand to planning practice has triggered
interest in issues that potentially improve the accuracy and/or usefulness of model forecasts …

Cost–benefit analyses (CBA) are often questioned on the grounds that results depend
crucially on uncertain assumptions about the future, and on ethically or methodologically …

Page 1 DANIEL ALBALATE The Privatisation and Nationalisation of European Roads
Success and Failure in Public—Private Partnerships Page 2 The Privatisation and …

This paper develops a distributionally robust joint chance constrained optimization model for
a dynamic network design problem (NDP) under demand uncertainty. The major …

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 …

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 …

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 …