Dr. Ramin Khavarzadeh

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. Issue of safety is great importance for facilities like various kinds of crosswalk in which movement of pedestrians interacts with vehicles.

We introduce a two-step method to perform spatio-temporal balanced sampling in a design-based approach. For populations with spatio-temporal trends and with anisotropic effects in the variable of interest.

The economic evaluation and the financing of transportation projects require comprehensive estimation and determination of all transportation-related external costs. The effect of accessibility on property values and the hedonic price of environmental attributes related to the transportation system are among the most important external effects.

Classical sampling assumes the population consists of independent units, and this assumption runs through every stage of sampling, analysis and modeling. When the units under study are dependent, both the statistical procedures and the sampling design itself must account for the correlation structure of the data.

Environmental studies often involve dependent data whose correlation arises from their position in space. This work extends balanced spatial sampling to the prediction of random fields.

An evaluation of the effect of road traffic volume on air pollution in the city of Mashhad, using seasonal time-series models.

Tehran experiences air inversion episodes every year, and the usual policy responses include school closures, general shutdowns and the odd-even traffic rationing scheme enforced from home. This study examines the effects of that scheme during thermal inversion periods.

With the rapid development of behavioral models, travel-demand modeling has shifted markedly away from pure simulation approaches. Many transport variables are mutually related; this work models shopping trip length and private car use jointly using copula functions.

Modeling and forecasting rail ridership is essential for the dynamic, optimized operation of urban rail. This study forecasts Mashhad light-rail passenger counts using seasonal time-series methods.

Maritime transport is one of the principal drivers of gross national product and carries the largest share of goods imported to and exported from any country. This study reviews the economic and financial future of the industry in Iran.

Air pollution is known as a major cause of health and environment damages. Various factors are involved in increasing air pollution, among which road traffic is one of the main sources of these issues.

The effect of intra-household and intra-personal relationships has recently recognized to significantly influence many aspect of travel behavior. Previous research has considered the effect of these relationships on travel behaviors.

As the use of new communication technologies have grown largely in the previous decade, researchers’ interest in estimating Origin Destinations (O/Ds) from these data sources have increased. One of the major limitations of the previous efforts on the O/D estimation is the lack of trip purpose data.