The course proposes the study of sustainable mobility management to support decision making. It includes lectures, exercise sessions and seminars. At the end of the course, the student will acquire the competences to evaluate, implement and manage the mobility plan for private companies and public organizations, and to improve its sustainability. The student will also learn how to compute and simulate urban mobility flows, and to evaluate investments in urban mobility.
1. Introduction to Sustainable Mobility
Sustainable mobility: definition and metrics. Urban mobility and its evolution over time. Multimodal transport in urban areas. Social tendencies. Public vs private transportations. Negative externalities of transport systems: noise and gas emission. The road to sustainability
2. Mobility Planning and Simulation
Trip matrix of expected demand. Introduction of network and connectivity. Principle of route selection. Optimal assignment. Shortest path length and minimum costs. The concept of generalized travel costs and utility functions. The role of congestion: the relationship between flows, travel times and speed. Stochastic assignment. Introduction to Simulation of Urban MObilit – Sumo.
3. Emerging trends in Mobility
New business models. The role of incentives and financial tools to promote sustainable mobility.
From user-pay to beneficiary-pay. Technology for smart mobility. Intelligent transport systems, parking policies, car sharing and pooling. Electric mobility: prospective and barriers for its development. Impact on urban traffic. Active mobility.
4. Managing Mobility
From enhancing supply to managing demand. Traditional vs. innovative approaches in planning sustainable mobility. Modal shift. The user-centered approach (door-to-door mobility). Introduction to reviled and stated preferences. The mobility management. Role played in public and private institutions. Definition and implementation of the home-to-work mobility plan. Multi-criteria analysis for mobility management. Best practices at a European level. Forecasting in urban mobility. Application with Python: from mobility questionnaire, to devising actions, to effect simulations.
Teaching activities are mainly by frontal lessons and exercise sessions, with particular attention to the confrontation and direct dialogue with the students, who can, during the lessons, formulate proposals for discussion.
The exam consists of a written exam and an oral exam.
The written exam is compulsory and consists of two numerical exercises and three open questions about the theoretical aspects of the course content. The students obtaining a sufficient score in the written exam (at least 18/30 ) can directly register the vote achieved.
The oral exam is optional for students who have achieved at least 18/30 in the written exam. The oral exam consists of 3-4 open questions on all aspects of the course (pass score of 18/30). In this case, the overall grade of the examination is the arithmetic average of the marks obtained in the written test and in the oral exam.