This paper proposes to measure the extent of the influence of transportation systems on land use change. With a set of high-resolution land use data for the Twin Cities, Minnesota, metropolitan region, logistic regression models of land use change are estimated for a 10-year period from 1990 to...

The Brazilian ports are out of capacity, imposing several restrictions to the sector expansion. Some investments have been made, but without improvements in the situation. Ports around the world seems to have the same problem. One of the aspect that implies in this situation are the forecast...

Unreliable travel times cause substantial costs to travelers. Nevertheless, they are not taken into account in many cost-benefit-analyses (CBA), or only in very rough ways. This paper aims at providing simple rules on how variability can be predicted, based on travel time data from Dutch...

According to the World Health Organization, more than one million road traffic deaths occur every year throughout the world. Many countries have established quantified road safety targets in response. Road safety targets need to be based on reliable forecasting methods. This paper attempts to...

We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...