As a consequence of extensive urban growth, local transportation systems are facing enormous challenges, leading to massive investments in infrastructure and travel demand management measures to steer demand for specific travel modes. Meanwhile, technological advancements are creating unprecedented opportunities for collecting and utilizing travel data at previously unknown levels of detail. Su...

Recent advancements in computing and Geographic Information Systems (GIS) have revolutionized the development of decision support systems (DSS) to study and simulate the future of travel demand in urban areas. While travel demand models have been widely developed and used to inform the urban planning process, very little has been done to explicitly account for the aging of population within suc...

The paper discusses requirements for freight modelling and presents specific approaches concerning freight surveys, demand and network modelling, rail freight optimisation and freight assignment including: • Surveying methods for collecting road based demand data. • WIVER/VISEVA: a demand modelling system for urban and regional commercial transport. • SPIN: a multimodal network model for interm...

Public inoculation centers are examples of facilities providing service to customers whose demand is elastic to travel and waiting time. That is, people will not travel too far, or stay in line for too long to obtain the service. The goal, when planning such services, is to maximize the demand they attract, by locating centers and staffing them so as to reduce customers’ travel time and time sp...

In recent years, with the advancements in information and communication technology, different emerging on-demand shared mobility services have been introduced as innovative solutions low-density areas, including transit (ODT), (MOD) transit, crowdsourced services. However, due to their infancy, there is a strong need understand model demand for these this study, we developed trip production dis...

The Internet has brought consumers increased access to information to make purchase decisions. As markets come closer to perfect information, one of the expected outcomes is an increase in competition. One of the consequences is an increase in the price elasticity of demand, or the percent change in demand due to a percent change in price, because consumers are better able to compare offerings ...

We examine sensitivity of estimates of recreation demand using the Travel Cost Method (TCM) to four factors. Three of the four have been routinely and widely discussed in the TCM literature: a) Poisson verses negative binomial regression; b) application of Englin correction to account for endogenous stratification; c) truncation of the data set to eliminate outliers. A fourth issue we address h...