Stefano Carrese

Relationship between Parking Location and Traffic Flows in Urban Areas

In the last twenty years, most studies on parking demand distribution have been analyzing user-choice criteria, and after determining the utilization level of proposed parking facilities, they have identified the optimal pattern of the parking plan, based on the optimization of only two parameters: parking cost and walking distance. The most common method used to search for optimal allocation criteria, was a verification of different scenarios for parking demand satisfaction.

A model for the management of a tram fleet

Abstract The maintenance of transport vehicles represents an important aspect of the operating costs of a local public transport company (TPL). This work analyses the programmed and repair maintenance procedures of a recently operating tram fleet. By careful technical and economic analysis of data from the machine shops, two models have been developed with the aim of forecasting time and operating costs of maintaining rolling stock, using the parameters of Reliability, Availability, and Maintainability (RAM). It is a probabilistic model for the management of breakdowns on the tramline and for the analysis of shop maintenance operations, and a model for the calculation of Life Cycle Cost (LCC). The procedure has been applied to a TPL company obtaining satisfactory results in line with financial budgets and consistent with the purchasing specifications.

Analysis of the demand for an electronic advise of traffic code violations

An intelligent device system for the automatic notification of traffic code violations is proposed. Then an analysis of the demand potentially interested in the new system is conducted based on both random utility and neural networks models.

Real time ridesharing: Understanding user behavior and policies impact: Carpooling service case study in Lazio Region, Italy

Among several ridesharing models, real-time carpooling is a significant innovation in the sector of sharing mobility. Indeed, it overcomes the traditional carpooling model thanks to a technology which enables customers to significantly decrease matching times and furthermore, it is fully integrated with public transport. None the less, it gives the opportunity to users to previously check the rating of possible passengers and drivers. First of all, the study sets the real time carpooling service within the broad ridesharing category highlighting peculiarities in light of international experiences and recent normative developments. In addition, results, obtained by a survey in collaboration with Moovit Inc. within Lazio (Italian region) about the new service Moovit Carpool activated in September 2016, have been discussed. Data have shown different aspects which characterize the potential demand of the service. Particularly, it has been displayed that, the familiarity of users with the service is crucial for choice dynamics in other words, to consider the service a valiant alternative for systematic transfers. The proposed behavioral discrete choice model shows in detail this correlation. Furthermore, the model gives values about important behavioral parameters such as, the usefulness of the service and the interaction comfort. Finally, in order to promote a modern regulation and valorization of the sector, directions of intervention have been suggested.

A cost evaluation analysis for naval accessibility to Sardinia and Corsica

An analytical model for the evaluation of the naval transportation costs in Ro-Pax services is presented in order to compare the naval accessibility of two main Mediterranean islands with their mainland countries.

The value of information for the accessibility to concurrent transit system services

The accessibility to different transport systems is an essential variable for modal choice, and not only for the choice between public and private transport, but also between concurrent transit systems. The study would like to identify and quantify the value of information (VOI) in the accessibility to concurrent transit services. In particular, the type of information considered and assessed is both en-route and pre-trip information provided to a user who has to choose between the concurrent transit services available. A methodology will be presented in order to identify and quantify the VOI, based on the development of behavioral models that make use of random utility theory. These models have been calibrated and validated using two different samples of data collected by a Revealed Preference (RP) survey to 200 users choosing between the different transit services available connecting Fiumicino Airport to the city center of Rome (Termini Station) in Italy. The proposed methodology is based on the development of behavioral models that make use of random utility theory. In particular two types of discrete choice models belonging to the family of random utility models are proposed: Multinomial Logit model (ML) and Nested Logit model (NL).