Kay W. Axhausen: Catalogue data in Autumn Semester 2023 |
Name | Prof. em. Dr. Kay W. Axhausen |
Field | Transport Planning |
Address | I. f. Verkehrspl./Transportsysteme ETH Zürich, HIL F 32.2 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 | Professor emeritus |
Number | Title | ECTS | Hours | Lecturers | |||||||||||||||||||||||
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101-0417-00L | Transport Planning Methods | 6 credits | 4G | K. W. Axhausen | |||||||||||||||||||||||
Abstract | The course provides the necessary knowledge to develop models supporting and also evaluating the solution of given planning problems. The course is composed of a lecture part, providing the theoretical knowledge, and an applied part in which students develop their own models in order to evaluate a transport project/ policy by means of cost-benefit analysis. | ||||||||||||||||||||||||||
Learning objective | - Knowledge and understanding of statistical methods and algorithms commonly used in transport planning - Comprehend the reasoning and capabilities of transport models - Ability to independently develop a transport model able to solve / answer planning problem - Getting familiar with cost-benefit analysis as a decision-making supporting tool | ||||||||||||||||||||||||||
Content | The course provides the necessary knowledge to develop models supporting the solution of given planning problems and also introduces cost-benefit analysis as a decision-making tool. 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 that, the problem is divided into sub-problems, which are solved using various statistical models (e.g. regression, discrete choice analysis) and algorithms (e.g. iterative proportional fitting, shortest path algorithms, method of successive averages). The course is composed of a lecture part, providing the theoretical knowledge, and an applied part in which students develop their own models in order to evaluate a transport project/ policy by means of cost-benefit analysis. Interim lab session take place regularly to guide and support students with the applied part of the course. | ||||||||||||||||||||||||||
Lecture notes | Moodle platform (enrollment needed) | ||||||||||||||||||||||||||
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. Schnabel, W. and D. Lohse (1997) Verkehrsplanung, 2. edn., vol. 2 of Grundlagen der Strassenverkehrstechnik und der Verkehrsplanung, Verlag für Bauwesen, Berlin. McCarthy, P.S. (2001) Transportation Economics: A case study approach, Blackwell, Oxford. | ||||||||||||||||||||||||||
101-0467-01L | Transport Systems Only for master students, otherwise a special permisson by the lecturers is required. | 6 credits | 4G | K. W. Axhausen, L. Ambühl, A. D. Marra | |||||||||||||||||||||||
Abstract | History, impact and principles of the design and operation of transport systems | ||||||||||||||||||||||||||
Learning 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), referring to relatively constant, and factors with substantial future uncertainty, in the past and expected evolution of transport systems. | ||||||||||||||||||||||||||
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. | ||||||||||||||||||||||||||
860-0004-00L | Bridging Science, Technology, and Policy ![]() ISTP-PhD students please register via the Study Administration. | 3 credits | 2S | T. Bernauer, K. W. Axhausen, S. Bechtold, I. Günther, D. Hangartner, V. Koubi, M. Leese, T. Schmidt, B. Steffen, E. Tilley | |||||||||||||||||||||||
Abstract | This course first provides a broad conceptual and historical perspective on technological and scientific innovation, and then focuses on different modes of policy analysis and their application to policy questions in a variety of areas. | ||||||||||||||||||||||||||
Learning objective | This course picks up on the ISTP Cornerstone course in Science, Technology and Policy and goes into greater depth on issues covered in that course, as well as additional issues where science and technology are among the causes of societal challenges but can also help in finding solutions. | ||||||||||||||||||||||||||
Content | See Moodle for this course | ||||||||||||||||||||||||||
Lecture notes | Course materials will be made available via Moodle. | ||||||||||||||||||||||||||
Literature | Course materials will be made available via Moodle. | ||||||||||||||||||||||||||
Prerequisites / Notice | The course is open only to the ISTP's MSc students and to ISTP doctoral students. | ||||||||||||||||||||||||||
Competencies![]() |
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