Kay W. Axhausen: Catalogue data in Autumn Semester 2018

Name Prof. em. Dr. Kay W. Axhausen
FieldTransport Planning
I. f. Verkehrspl./Transportsysteme
ETH Zürich, HIL F 31.3
Stefano-Franscini-Platz 5
8093 Zürich
Telephone+41 44 633 39 43
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipProfessor emeritus

101-0414-AALTransport 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 credits2RK. W. Axhausen
AbstractThe lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts.
ObjectiveThe course introduces the basic theories and methods of transport planning.
ContentBasic 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.
LiteratureOrtuzar, J. de D. and L. Willumsen (2011) Modelling Transport, Wiley, Chichester.
101-0417-00LTransport Planning Methods6 credits4GK. W. Axhausen
AbstractThe 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.
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
ContentThe 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 notesMoodle platform (enrollment needed)
LiteratureWillumsen, 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.
101-0467-01LTransport Systems
Only for master students, otherwise a special permisson by the lecturers is required.
6 credits4GK. W. Axhausen
AbstractHistory, impact and principles of the design and operation of
transport systems
ObjectiveIntroduction 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)
ContentTransport 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 notesLecturer notes and slides as well as hints to further literature will be given during the course.
Prerequisites / NoticeObligatory lecture for students of the first semester of MSc Spatial development and Infrastructure Systems.
Remark: parts of the lecture will be given in German.
103-0377-10LBasics of RE&IS Restricted registration - show details
Only for Spatial Development and Infrastructure Systems MSc.
2 credits2GB. T. Adey, K. W. Axhausen, M. J. Van Strien
AbstractEvery 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.
ObjectiveThe 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.
ContentThe 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 notesA 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.
103-0817-00LGeomatics Seminar Restricted registration - show details 4 credits2SM. Rothacher, K. W. Axhausen, A. Geiger, A. Grêt-Regamey, L. Hurni, M. Raubal, K. Schindler, A. Wieser
AbstractIntroduction 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.
ObjectiveLearn 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
ContentA 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 / NoticeAgreement with one of the responsible Professors is necessary
149-0001-00LTransport Planning - Theory and Models Restricted registration - show details
Does not take place this semester.
Only for DAS in Transport Engineering
5 credits1GK. W. Axhausen