Kay W. Axhausen: Catalogue data in Autumn Semester 2021

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

NumberTitleECTSHoursLecturers
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 credits6RK. W. Axhausen
AbstractThe lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts.
Learning 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.
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
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, A. Kouvelas, Y. Zhu
AbstractHistory, impact and principles of the design and operation of
transport systems
Learning 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), referring to relatively constant, and factors with substantial future uncertainty, in the past and expected evolution of transport systems.
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.
103-0377-10LBasics of RE&IS Restricted registration - show details
Only for Spatial Development and Infrastructure Systems MSc.
3 credits2GK. W. Axhausen, B. T. Adey, A. Grêt-Regamey, C. Sailer
AbstractThe course Basics of RE&IS provides essential basic knowledge for the Master's degree program in Spatial Development & Infrastructure Systems and is divided into the three main topics of technical-scientific working, writing & presenting. The students deepen and apply the learned knowledge in the context of three performance elements and one ungraded semester performance.
Learning objective- Students will be able to identify, name, and be able to define the content taught.
- The students can assess, discuss and explain the necessity, significance and application of the standards in scientific work.
- Students will be able to apply the content, implement it in different examples and use it to solve the exercises and the semester assignment.
- With the techniques learned in the course, students will be able to analyze and differentiate scientific sources and apply them in their work in a structured way.
- The knowledge learned will help students to be able to assess, decide, evaluate and critically evaluate in the context of the semester assignment.
-Students are able to systematically compare and present their results in an argumentative manner.
-Students are able to produce their results in collaboration with their group and are able to develop, formulate and design a scientific and technical report to complete the assignment.
-The students are able to present their results in an engaging presentation together with their project group and use attractive and formally correct visualizations, maps or diagrams for this purpose.
-The students thus develop a common understanding with regard to their methodological knowledge and can henceforth work scientifically at an appropriate level.
ContentStudents will learn the basics of scientific work and practice their skills within the framework of three performance elements as well as an ungraded semester work, which will be worked out in groups of two to three students.

In the first half of the semester, students will learn the theoretical basics and apply and understand these in the context of the exercises (=performance elements) in groups of maximum of two. The final ungraded semester exercise in the second part of the course, students will work in groups of maximum two on an assignment, which they will document and communicate in the form of a written report and a final presentation at the end of the course.

-Exercise 1: Citations & Referencing 20%
-Exercise 2: Searching, Reading and Summarizing 20%
-Exercise 3: Maps, Graphs & Visualizations 20%
-Exercise 4: Review 20%
-Presentation of review 20%

Students will be supervised by at least three assistants and one professor throughout the course. The main course lead changes periodically between the following RE&IS chairs: Infrastructure Management (IM), Transportation Systems (TS), Traffic Engineering (SVT), Transport Planning (VPL), Spatial Development and Urban Policy (SPUR), Planning of Landscape and Urban Systems (PLUS) and Spatial Transformation Laboratories (STL).
Lecture notesAll documents relevant for the course (slides, literature, further links, etc.) are provided centrally via the moddle platform.
LiteratureAmerican Psychological Association (APA) (2010) Publication Manual of the American Psychological Association, 6th edition, APA, Washington, D.C.
Axhausen, K.W. (2016) Style Guide for Student Dissertations, IVT, ETH Zürich, Zürich (available as download under learning materials)
Backhaus, N. and R. Tuor (2008): Leitfaden für wissenschaftliches Arbeiten, 7. überarbeitete und ergänzte Auflage. Schriftenreihe Humangeographie 18, Geographisches Institut der Universität Zürich, Zürich.
ZürichChapman, M. and C. Wykes (1996) Plain Figures, HM Stationary Office, London.
ETH (2017) Citation etiquette: How to handle the intellectual property of others, ETH, ETH Zürich, Zürich (last retrieved 29.11.2017)
Modern Language Association of America (MLA) (2016) MLA Handbook, 8th edition, MLA, New York.
Monmonier, M. (1991) How to lie with maps, University of Chicago Press, Chicago.
Tufte, E. R. (2001) The Visual Display of Quantitative Information, Graphics Press USA
Wilkinson, L. (1999) The Grammar of Graphics, Springer, Berlin.
103-0414-AALTransport Basics
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.
4 credits9RK. W. Axhausen
Abstract
Learning objective-Introduction to the fundamentals of transportation
-Developing an understanding of the interactions between land use and transportation
-Introduction to the dynamics of transport systems: daily patterns and historical developments
Content-Accessibility
-Equilibrium in transport networks
-Fundamental transport models
-Traffic flow and control
-Vehicle dynamics on rail and road
-Transport modes and supply patterns
-Time tables
103-0817-00LGeomatics Seminar Restricted registration - show details 4 credits2SK. Schindler, K. W. Axhausen, A. Grêt-Regamey, L. Hurni, W. Kuhn, M. Rothacher, 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.
Learning 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 topics for the literature study are made available at the beginning of the semester. A topic 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
Only for CAS/DAS in Transport Engineering and MAS in Future Transport Systems
4 credits3GK. W. Axhausen, M. Friedrich
AbstractThe lecture provides participants with the basic tools and theories of transportation planning. It introduces the essential concepts of transportation planning and explains their approaches and procedures in theory and practice.
Learning objective- Introduction to transportation investment and planning
- Basic model of behavior and basic assumptions of the model
- The 4-step model of transportation planning
- Parameters for measuring and evaluating the quality of supply and quantifying transport demand
- Practical exercise with PTV Visum
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Decision-makingfostered
Media and Digital Technologiesfostered
Problem-solvingfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingfostered
Critical Thinkingfostered
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered