Kay W. Axhausen: Catalogue data in Spring Semester 2016

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
E-mail	axhausen@ivt.baug.ethz.ch
Department	Civil, Environmental and Geomatic Engineering
Relationship	Professor emeritus

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.
Learning 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.
101-0414-00L	Transport Planning (Transportation I)	3 credits	2G	K. W. Axhausen
Abstract	The lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts.
Learning 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.
101-0478-00L	Measurement and Modelling of Travel Behaviour	6 credits	4G	K. W. Axhausen
Abstract	Comprehensive introduction to survey methods in transport planning and modeling of travel behavior, using advanced discrete choice models.
Learning objective	Enabling the student to understand and apply the various measurement approaches and models of modelling travel behaviour.
Content	Behavioral model and measurement; travel diary, design process, hypothetical markets, discrete choice model, parameter estimation, pattern of travel behaviour, market segments, simulation, advanced discrete choice models
Lecture notes	Various papers and notes are distributed during the course.
Prerequisites / Notice	Requirement: Transport I
101-0481-00L	Readings in Transport Policy	3 credits	2G	K. W. Axhausen
Abstract	This course will explore the issues and constraints of transport policy through the joint readings of a set of relevant papers. The class will meet every three weeks to discuss the texts.
Learning objective	Familiarize the students with issues of transport policy making and the conflicts arising. Train the ability to read critically and to summarize his/her understanding for him/herself and others through a review paper, paper abstracts and a paper review.
103-0488-00L	Seminar in Spatial Development and Infrastructure Systems	9 credits	18S	B. Scholl, B. T. Adey, K. W. Axhausen, A. Grêt-Regamey, M. Menendez, U. A. Weidmann
Abstract	This seminar offers the students the opportunity to research and present a topic of their choice in depth resulting in a term paper. The topic can be freely chosen after consultation with the chair supervising the student. The chairs will also provide a list of proposed topics.
Learning objective	Practise independent scientific working addressing a relevant topic from the range of the master's programme course.
Content	The students can work on a topic of their choice from the range of the he master's programme course.
115-0506-00L	Lecture Week 06: Traffic Systems Only for MAS, DAS and CAS in Spatial Planning.	2 credits	1G	K. W. Axhausen, U. A. Weidmann
Abstract	Interrelationships between networks, supply, and space; Demand and demand models; Evaluation of changes in infrastructure; traffic systems: rail infrastructure, passenger transportation; case study.
Learning objective	Understanding of the life cycle costs and effects of infrastructure on spatial development as accessibility producing and /or vital network industries. Understanding planning processes for network infrastructure operation and production as well as the challenges of network operation.
364-1058-00L	Risk Center Seminar Series Number of participants limited to 50.	0 credits	2S	B. Stojadinovic, K. W. Axhausen, D. Basin, A. Bommier, L.‑E. Cederman, P. Embrechts, H. Gersbach, H. R. Heinimann, D. Helbing, H. J. Herrmann, W. Mimra, G. Sansavini, F. Schweitzer, D. Sornette, B. Sudret, U. A. Weidmann
Abstract	This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling and governing complex socio-economic systems, and managing risks and crises. Students and other guests are welcome.
Learning objective	Participants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models and approaches for open problems, to analyze them with computers or other means, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level.
Content	This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the seminar. Students and other guests are welcome.
Lecture notes	There is no script, but the sessions will be recorded and be made available. Transparencies of the presentations may be put on the course webpage.
Literature	Literature will be provided by the speakers in their respective presentations.
Prerequisites / Notice	Participants should have relatively good scientific, in particular mathematical skills and some experience of how scientific work is performed.