Travel demand is well announced as a crucial component of transportation planning. This paper aims to develop a direct demand model, denoting a more acceptable abstraction of reality, for intercity passengers in daily work and leisure trips in Tehran province. The model utilizes combined estimation across the data source, collected in 2011, of travelers originating from ...

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...

Different instruments are relevant for different marketing objectives (category demand expansion or market share stealing). To help brand managers make informed marketing mix decisions, it is essential that marketing mix models appropriately measure the different effects of marketing instruments. Randomly Utility Maximizing (RUM) discrete choice models that have been applied to this problem mig...

This paper deals with the correspondence between macro and micro spatial interaction and choice models, in both a static and a dynamic context. After a review of recent literature, special attention is devoted to the interpretation of aggregate spatial interaction models (both the conventional gravity or entropy models and the more general theory of movement devëloped by Alonso) in the framewor...

Assortment optimization problems arise widely in many practical applications such as retailing and online advertising. In this problem, the goal is to select a subset from a universe of substitutable items to offer to customers in order to maximize the expected revenue. The demand of any item depends on the substitution behavior of the customers that is captured mathematically by a choice model...

We consider a retailer offering an assortment of differentiated substitutable products to price-sensitive customers. Prices are chosen to maximize profit, subject to inventory/capacity constraints, as well as more general constraints. The profit is not even a quasi-concave function of the prices under the basic multinomial logit (MNL) demand model. Linear constraints can induce a non-convex fea...

We derive new prox-functions on the simplex from additive random utility models of discrete choice. They are convex conjugates corresponding surplus functions. In particular, we explicitly convexity parameter choice associated with generalized extreme value models, and specifically nested logit models. Incorporated into subgradient schemes, lead to a probabilistic interpretations iteration step...