Recent travel demand modeling practices focus on micro, disaggregate, and activity based travel behavior and patterns. The application of such practices requires detailed population data on socio-economic and demographic characteristics. For example, in a four-step travel demand model total household and employment within Traffic Analysis Zones (TAZ) are sufficient to model trip generation. How...

Transport systems are full of interactions between the demand for travel and the supply costs. As the demand increases, congestion builds up in the network and the costs of travel increases. In response to increased costs of travel, people may alter their demand for travel in terms of change of route, departure-time, mode, or choose not to travel. This demand/supply interaction enables an econo...

The present paper demonstrates that treating multidestination trips (MDT) as single-destination trips does not involve any systematic upward or downward bias in consumer surplus (CS) estimates because the direct negative effect of a price increase (treating MDT as a single-destination trip) is offset by a shift in the estimated demand curve. Still, ignoring MDT can greatly underestimate or over...

An elasticity summarizes a large amount of information in a single number. Levels and distribution of incomes, price levels of the specific good and of substitute and complementary goods, preferences and tastes, transaction costs, etc., can, ceteris paribus, affect the measured value of any particular demand-price elasticity. The elasticity concept normalizes for the measurement scales (e.g., p...

Flight frequency is an important determinant of air-travel demand, but must be sustained by adequate demand, implying a feedback effect. Frequencies of link-sharing routes are related, implying a peer effect. The paper examines the effects, using a model of airline network where flight frequency is endogenized with passenger flow. An estimation strategy is proposed to help correct the possible ...

This study examines the proper estimation of trip demand and economic benefits for visitors to recreation sites when past-season trip information is elicited from travelers intercepted on-site. We show that the proper weighting of past season counts is different from the standard on-site correction appropriate for current-season counts. We find that for our sample of lake visitors relatively st...

The Dynamic Demand Estimation (DDE) problem searches for time-dependent demand matrices; to solve this problem, in the classical approaches, survey data and traffic data are used [1-4]. In this paper an explorative analysis is conducted, with the goal to capture and analyze the existing relation between the traffic demand observed with the classical traffic counts and the activity patterns of t...