Kay W. Axhausen: Catalogue data in Autumn Semester 2017 |
Name | Prof. Dr. Kay W. Axhausen |
Field | Verkehrsplanung |
Address | I. f. Verkehrspl./Transportsysteme ETH Zürich, HIL F 31.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
Telephone | +41 44 633 39 43 |
axhausen@ivt.baug.ethz.ch | |
Department | Civil, Environmental and Geomatic Engineering |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
101-0414-AAL | Transport Planning (Transportation I) Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | 3 credits | 2R | K. W. Axhausen | |
Abstract | The lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts. | ||||
Objective | The course introduces the basic theories and methods of transport planning. | ||||
Content | Basic theoretical links between transport, space and economic development; basic terminology; measurement and observation of travel behaviour; methods of the four stage approach; cost-benefit analysis. | ||||
Literature | Ortuzar, J. de D. and L. Willumsen (2011) Modelling Transport, Wiley, Chichester. | ||||
101-0417-00L | Transport Planning Methods | 6 credits | 4G | K. W. Axhausen | |
Abstract | The course provides the necessary knowledge to develop models supporting the solution of given planning problems. This is done by dividing the forecasting problem into sub-problems. The course is composed of a lecture part, providing the theoretical knowledge, and a applied part, in which students develop their own models. | ||||
Objective | - Knowledge of methods and algorithms commonly used in transport planning - Ability to independently develop a transport model able to solve / answer the given problem / questions - Understanding of algorithms and their implementations commonly used in transport planning | ||||
Content | The course provides the necessary knowledge to develop models supporting the solution of given planning problems. Examples of such planning problems are the estimation of traffic volumes, prediction of estimated utilization of new public transport lines, and evaluation of effects (e.g. change in emissions of a city) triggered by building new infrastructure and changes to operational regulations. To cope with the forecasting problem it is first divided into sub-problems. Then, these are solved using various algorithms like iterative proportional fitting, shortest path algorithms and the method of successive averages. The course is composed of a lecture part, providing the theoretical knowledge, and a applied part, in which students create their own models. This part takes place in form of a tutorial and consists in the development of a computer program. The programming part is closely guided and particularly suitable for students with little programming experience. | ||||
Lecture notes | The slides of the lecture are provided electronically. | ||||
Literature | Willumsen, P. and J. de D. Ortuzar (2003) Modelling Transport, Wiley, Chichester. Cascetta, E. (2001) Transportation Systems Engineering: Theory and Methods, Kluwer Academic Publishers, Dordrecht. Sheffi, Y. (1985) Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods, Prentice Hall, Englewood Cliffs. | ||||
101-0439-00L | Introduction to Economic Analysis - A Case Study Approach with Cost Benefit Analysis in Transport Remark: Former Title "Introduction to Economic Policy - A Case Study Approach with Cost Benefit Analysis in Transport". | 6 credits | 4G | K. W. Axhausen, R. Schubert | |
Abstract | The course presents basic economic principles as well as cost benefit analyses in transport; it also introduces methods used to derive the monetary values of non-market goods. | ||||
Objective | Familiarity with basic microeconomic and macroeconomic principles and with the essential methods of project appraisal | ||||
Content | Basic microeconomic and macroeconomic üpronciples; Cost-Benefit-Analyses; multi-criteria analyses; European guidelines; stated response methods; travel cost approach and others; Valuation of travel time savings; valuation of traffic safety | ||||
Lecture notes | moodle platform for the basic economic principles; handouts | ||||
Literature | Taylor, M.P., Mankiw, N.G. (2014): Economics; Harvard Press VSS (2006) SN 640 820: Kosten-Nutzen-Analysen im Strassenverkehr, VSS, Zürich. Boardman, A.E., D.H. Greenberg, A.R. Vining und D.L. Weimer (2001) Cost – Benefit – Analysis: Concepts and Practise, Prentice-Hall, Upper Saddle River. ecoplan and metron (2005) Kosten-Nutzen-Analysen im Strassenverkehr: Kommentar zu SN 640 820, UVEK, Bern. | ||||
101-0467-01L | Transport Systems Only for master students, otherwise a special permisson by the lecturers is required. | 6 credits | 4G | U. A. Weidmann, L. Ambühl, K. W. Axhausen, M. Sinner | |
Abstract | History, impact and principles of the design and operation of transport systems | ||||
Objective | Introduction of the basic principles of the design and operation of transport systems (road, rail, air) and of the essential pathways of their impacts (investment, generalised costs, accessibilities, external effects) | ||||
Content | Transport systems and land use; network design; fundamental model of mobility behaviour; costs and benefits of mobility; transport history Classification of public transport systems; Characteristics of rail systems, bus systems, cable cars and funiculars, unconventional systems; introduction to logistics; fundamentals of rail freight transports; freight transport systems; intermodal transportation Network layout and its impact on road traffic. Traffic control systems for urban and inter-urban areas. Fundamentals of road safety and infrastructure maintenance. | ||||
Lecture notes | Lecturer notes and slides as well as hints to further literature will be given during the course. | ||||
Prerequisites / Notice | Obligatory lecture for students of the first semester of MSc Spatial development and Infrastructure Systems. Remark: parts of the lecture will be given in German. | ||||
103-0377-10L | Basics of RE&IS ![]() | 2 credits | 2G | B. T. Adey, K. W. Axhausen, M. J. Van Strien | |
Abstract | Every Master student should acquire a number of basic skills that will allow them to practice science independently. Especially in such a broad and practice-oriented MSc program as Spatial Development and Infrastructure Systems, it is important that all students develop a solid foundation of general scientific skills. In this course such general skills are taught. | ||||
Objective | The aim of the course is to teach students starting a RE&IS Master basic skills that are not only required to successfully complete the RE&IS Master program, but are also important for the future career in science or practice. The course consists of three components covering the following topics: - Learning the basics of the statistical software R - Project management - Important aspects of sound scientific conduct and practice. | ||||
Content | The first five weeks of the course, students will learn the basics of the open-source software R, which is currently one of the most popular software programs for (statistical) data analysis and data modelling. During the computer lab sessions, students will learn how to read and write data from and to files, create and handle R objects such as vectors and data frames, plot data (histograms, boxplots, scattered plots and simple maps), write conditional statements as well as for- and while-loops. Each lab-session will start with a short lecture, after which students have to complete several exercises that have to be completed in order to pass the course. In the following five weeks of the course, students will learn the basics of project management. The main topics will be the organisation of the people involved in the project, the establishment and structuring of the contents, establishing a schedule, estimating the needs for resources and financing, setting up a plan to control the progress of the project and conducting a risk analysis. The students are expected to work on a small project for the five weeks where each subject matter will be addressed. The final four weeks will discuss further issues, especially related to scientific conduct, such as plagiarism or citation. | ||||
Lecture notes | A syllabus of the course will be handed out at the beginning of the course. Furthermore, handouts of the lectures and exercise materials will be made available during the course. | ||||
103-0817-00L | Geomatics Seminar ![]() | 4 credits | 2S | M. Rothacher, K. W. Axhausen, A. Geiger, A. Grêt-Regamey, L. Hurni, M. Raubal, B. Scholl, U. A. Weidmann, A. Wieser | |
Abstract | Introduction to general scientific working methods and skills in the core fields of geomatics. It includes a literature study, a review of one of the articles, a presentation and a report about the literature study. | ||||
Objective | Learn how to search for literature, how to write a scientific report, how to present scientific results, and how to critically read and review a scientific article | ||||
Content | A list of themes for the literature study are made availabel at the beginning of the semester. A theme can be selected based on a moodle. | ||||
Prerequisites / Notice | Agreement with one of the responsible Professors is necessary | ||||
149-0001-00L | Transport Planning - Theory and Models ![]() Does not take place this semester. Only for DAS in Transport Engineering | 5 credits | 1G | K. W. Axhausen | |
Abstract | |||||
Objective |