Life in the city relies on the smooth operation of urban logistics. Everything from retail to services, construction to waste collection rely on an efficient and reliable freight transport system. However, with the increasing pressures of urbanization, this has to be balanced with the environmental and social impacts caused by transport activity. This is the challenge of City Logistics, a field of study that has significant practical implications for the world and the cities we live in. It is not merely a question of what is involved, but what can be done about urban freight transport to improve it for the sake of economic efficiency, quality of life, and sustainability.

From a systematic scientific foundation of the field, this course will take you on a journey to learn how city logistics is understood and practiced in cities around the world. Our instructors, members of a renowned global expert network, will teach you the basics of this highly complex social system. Using their experience in real-world projects, they will illustrate how the knowledge learnt in this course is applied across industry and the public sector.

This course caters primarily to university students or professionals working in urban transport infrastructure planning or logistics management. Whether you are simply curious about the topic or you intend to develop a career in these fields, this course will give you the tools you need to understand the complexities of urban freight transport systems.

The course emphasizes the theoretical foundation, the rigorous evaluation, and a multi-disciplinary approach to this complex area. Course participants will benefit from numerous case studies of best practice in selected cities around the world, in a variety of business settings. Our emphasis on the global perspective is particularly relevant, since an understanding of local culture and political climate is an important factor in the success of any city logistics intervention. The course will provide an avenue for students to learn from their peers about the challenges faced in their respective cities, and how to apply the principles learned to the challenges faced in their own cities.

This is a set of 28 flash cards that can be used to learn how to pronounce the names of different means of transportation in Basque with the correct forms to answer to the question: Nola etorri/joan zara?

This class serves as an introduction to mass transport in environmental flows, with emphasis given to river and lake systems. The class will cover the derivation and solutions to the differential form of mass conservation equations. Class topics to be covered will include: molecular and turbulent diffusion, boundary layers, dissolution, bed-water exchange, air-water exchange and particle transport.

1. Objectives of modelling in transport and spatial planning. Model types. Theory of travel and locational behaviour. System description of planning area. Theory of choice models. Aggregate and disaggregate models. Mode choice, route choice and assignment modelling. Locational choice modelling. Parameter estimation and model calibration. Cases and exercises in model application; 2. Role of models in transportation and spatial systems analysis; model types; designing system description of study area (zonal segmentation, network selection); role of shortest path trees; 3. Utility theory for travel and location choice; trip generation models, trip distribution models; applications; 4. Theory of spatial interaction model; role of side constraints; distribution functions and their estimations; constructing base matrices and estimating OD-tables; 5. Theory of individual choice models; 6. Disaggregated choice models of the logit and probit type for time choice, mode choice, route choice and location choice; 7. Integrated models (sequential and simultaneous) for constructing OD-tables; 8. Equilibrium theory in networks and spatial systems; 9. Route choice and assignment; derivation of different model types (all-or-nothing model, multiple route model, (stochastic) equilibrium model); assignment in public transportation networks; analyses of effects; 10. Calibration of parameters and model validation; observation, estimation, validation; estimation methods; 11. Individual exercise computing travel demand in networks; getting familiar with software; computing all transportation modelling steps; analyse own planning scenarios; writing a report.Study Goals: 1. Insight in the function of mathematical models in transportation and spatial planning; 2. Knowledge of theoretical backgrounds of models; 3. Knowledge of application areas of models; 4. Ability to develop one's own plan of analysis for model computations; 5. Ability to apply models on planning problems; 6. Ability to present outcomes of model computations.

In this open-ended design activity, students use everyday materials milk cartons, water bottles, pencils, straws, candy to build small-scale transportation devices. They incorporate the use two simple machines a wheel and axle, and a lever into their designs. Student pairs choose their materials and engineer solutions suitable to convey pyramid-building materials (small blocks of clay). They race their carts/trucks, measuring distance, time and weight; and then calculate speed.