This course addresses the principles and practices of designing integrated projects that combine transport and mobility to meet the growing need for movement in urban and rural environments. It explores the different stages of planning, from design to implementation, considering technical, economic, environmental, and social aspects. The course places particular emphasis on the integration of transport modes (public, private, active) and on coordination with land-use policies to promote sustainable and inclusive mobility systems. Case studies and practical examples illustrate how these concepts are applied in the development of real projects.
This course focuses on the methods and tools used to evaluate projects and make informed decisions in various contexts, including management, engineering, and public policy. It covers quantitative and qualitative evaluation techniques, such as cost-benefit analysis, multicriteria analysis, and simulation models, to measure the effectiveness, profitability, and impacts of projects. The course also highlights decision-making processes, integrating elements such as uncertainty, stakeholder preferences, and resource optimization. Practical cases are often used to illustrate the application of these techniques in real situations.
This course covers the methods and tools necessary for the planning, management, and evaluation of transport projects. It addresses the key stages of a transport project life cycle, from initial design to implementation, including needs analysis, solution selection, and risk management. The course also emphasizes the economic, environmental, and social aspects of transport projects, as well as evaluation and monitoring techniques to ensure their success and alignment with the strategic and sustainable development objectives of the territories.
GIS are computer tools used to collect, analyze, and visualize geospatial data from various sources (maps, satellite images, GPS). They enable advanced spatial analyses, facilitate collaborative management of geographic data, and are applied in various fields such as land use planning, natural resource management, and urban planning. Thanks to technological advancements, GIS are constantly evolving, offering new analytical capabilities and innovations.
This course explores the factors that influence the geographical distribution of economic activities at different scales (local, regional, global). It analyzes localization theories such as agglomeration models, centrality, and comparative advantages to understand how businesses and industries choose their locations. The course also addresses the impact of public policies, infrastructure, and market dynamics on the location of economic activities, as well as the socio-economic consequences for the affected territories. Case studies illustrate these concepts in various geographical contexts.
This course addresses the links between transport planning, land use planning, and sustainable development. It explores how the management of transport infrastructures can influence economic growth, social equity, and environmental protection. The course examines strategies for designing effective and sustainable transport systems while minimizing negative environmental impacts and promoting balanced and inclusive territorial development. Case studies and integrated approaches are often used to illustrate theoretical concepts.
The course focuses on the application of operational research methods to optimize transportation and distribution problems. It covers in detail the mathematical models and algorithms used to solve issues such as vehicle routing, fleet assignment, vehicle scheduling with time windows, and multimodal transport. The emphasis is on the use of decision support tools like linear programming, dynamic programming, and heuristics to find efficient and realistic solutions to these complex problems. The course also examines inventory management issues, demand forecasting, and production planning in relation to transportation decisions. Case studies and projects allow students to apply these optimization techniques in various logistics contexts, thus enhancing their understanding of the challenges and issues in transportation.
The course focuses on the different logistics flows, including material, information, and financial flows, and on techniques for managing them optimally. It covers in detail inventory management, production scheduling, transport planning, and coordination of logistics activities. Emphasis is placed on the use of simulation tools, demand forecasting, and decision support to improve the overall performance of the supply chain. The course also examines key logistics performance indicators, such as service level, delivery times, logistics costs, and system flexibility, and their role in evaluating and continuously improving operations. Concrete case studies allow students to apply theoretical concepts and develop their analytical and decision-making skills in a logistics context.