Nowadays, traffic management policy in metropolitans is focused on increasing the share of public transit. The limitation of supply and slowing growth of road infrastructures have provided congestion for users who choose personal cars. Therefore, applying demand management policies which decrease the utility of personal cars and increase the tendency to public transit can be very important. Con...

Goods and services vary along a number of dimensions independently. Customers can choose to acquire information to assess some characteristics and not others. Their choices a¤ect …rms’ incentives to invest in quality and so lead to indirect externalities in consumers’choices. We illustrate these ideas by characterizing a model in which a monopolist sets price and invests in the quality of a pro...

In a choice between two options, decision makers can often be roughly divided into three groups: those who strongly prefer the first option, those who strongly prefer the second option, and those whose choices are most sensitive to the specific conditions (Switchers). In any reference state, such as the experimental control, Switchers choices are unlikely to be exactly equally divided between t...

Human decision making underlies data generating process in multiple application areas, and models explaining and predicting choices made by individuals are in high demand. Discrete choice models are widely studied in economics and computational social sciences. As digital social networking facilitates information flow and spread of influence between individuals, new advances in modeling are nee...

This paper explores the use of pedestrian conveyor systems, otherwise known as moving walkways, in long public corridors such as those found in major commercial airports. The investigation includes a brief comparison of moving walkways with other primary modes of airport terminal passenger transportation and an empirical study of the use of moving walkways through analysis of passenger conveyor...

Discrete choice models are employed (as the name suggests) to explain a discrete choice that an individual makes. For example, such a choice might be whether or not to join the labor force, whether or not to buy a car, whether or not to continue on to graduate school, whether or not to accept a job with a consulting …rm, or whether or not to sign up with an internet provider. Later in the cours...

This chapter examines different models commonly used to model probabilistic choice, such as eg the choice of one type of transportation from among many choices available to the consumer. Section 1 discusses derivation and limitations of conditional logit models. Section 2 discusses probit models and Section 3 discusses the nested logit (generalized extreme value models), which address some of t...

Discrete choice models have played an important role in transportation modeling for the last 25 years. They are namely used to provide a detailed representation of the complex aspects of transportation demand, based on strong theoretical justiications. Moreover, several packages and tools are available to help practionners using these models for real applications, making discrete choice models ...