Luigi dell’Olio

TL;DR: The application of this methodology provides the authorities and operating companies with useful information to plan personalised marketing policies specifically directed at different categories of users and potential users of public transport.

TL;DR: In this article, the authors evaluate how bus users perceive the quality of their public transport service and find that the perception of quality varies according to the available information, and that there tends to be more criticism towards variations in overall quality until the users are stimulated into thinking more deeply about other influential variables.

TL;DR: In this paper, the authors presented a methodology to model bus transit quality in the city of Santander using user perception data, and the perceived quality has been estimated with random-ordered probit models.

TL;DR: In this article, a behavioural model based on discrete choice models (DCMs) is presented to simulate decision maker behavior during an emergency situation. But the authors focus on the importance of the influence of other decision makers on the decision-making process.

TL;DR: In this paper, a bi-level optimization model for locating bus stops to minimize the social cost of the overall transport system is developed, taking into account possible changes in demand due to different bus stop locations considering congestion on buses, interaction with private traffic, operational variables (fleet, frequency, operator budgets), and the socio-demographic characteristics of each zone in the urban area.