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...

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...

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...

Advancement in the fields of electrification, automation, and digitalisation emerging social trends are fuelling transformation road transport resulting introduction various innovative mobility solutions. Yet reaction people to many new solutions is still vastly unknown. This creates an unprecedented quandary for planners who requested design future systems create related investment plans witho...

Modeling travel behavior is a key aspect of demand analysis, where aggregate demand is the accumulation of individuals’ decisions. In this chapter, we focus on “short-term” travel decisions. The most important short-term travel decisions include choice of destination for a non-work trip, choice of travel mode, choice of departure time and choice of route. It is important to note that short-term...