Time series, spatial sampling and dependence modelling — papers previously published on this site.
Walking is one of the main transport modes and more sustainable to human society. Pedestrians need safe facilities to be utilized easily and facilitate transportation with adequate speed.
We introduce a two-step method to perform spatio-temporal balanced sampling in a design-based approach for populations with spatio-temporal trends and anisotropic effects.
The economic evaluation and the financing of transportation projects require comprehensive estimation of transportation-related external costs, including the effect of accessibility on property values.
Air pollution is a major cause of health and environment damages. Road traffic is one of the main sources of these issues.
The effect of intra-household and intra-personal relationships has been recognized to significantly influence many aspects of travel behavior.
One of the major limitations of previous O/D estimation efforts is the lack of trip purpose data. This paper estimates trip purpose with canonical discriminant analysis.