LEARNING OUTCOMES
A student who has passed the course is able to
- Justify data collection and management methods and technologies;
- Apply trip-based, discrete-choice, and activity-based models for transport systems planning;
- Recognise differences and similarities between different models and approaches used for transport systems planning;
- Identify needs for transport modelling and related decisions in a multi-user and multi-stakelholder environment;
- Judge possible solutions to transport-related problems via appropriate transport modelling tools and defend their suitability with an entrepreneurial mindset;
- Follow scientific literature in transport systems modelling;
Credits: 5
Schedule: 09.01.2023 - 17.02.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Claudio Roncoli
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
The course content includes:
- Main concepts of Transport Modelling
- Data management
- Trip generation
- Trip distribution
- Modal split
- Traffic assignment
- User equilibrium vs System optimum
- Activity- agent-based modelling
- Integrated land-use and transport models
- Use of transport modelling in the decision-making context
- Analysis methods for research on users and values
- Entrepreneurial mindset for well-informed business decisions
Assessment Methods and Criteria
valid for whole curriculum period:
- Individual home assignments (60%)
- Group work (40%)
The course will be assessed with the scale 0-5. To pass the course (grade 1), a student has to achieve at least 50% in "Individual home assignments".
Workload
valid for whole curriculum period:
- Contact sessions 36 h
- Recorded lectures 10 h
- Individual home exercises 46 h
- Group-work 42 h
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
3 Good Health and Well-being
5 Gender Equality
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
10 Reduced Inequality
11 Sustainable Cities and Communities
12 Responsible Production and Consumption
13 Climate Action
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring III
2023-2024 Spring IIIEnrollment :
Registration for courses will take place on Sisu (sisu.aalto.fi). The maximum number of students is 40. Students of the Master's programme in Spatial Planning and Transportation Engineering are prioritised.