Description :
Cities are evolving rapidly but urban transportation evolves even faster. Recent examples include: car-sharing schemes, Mobility as a Service (MaaS), e-scooter sharing fleets, autonomous bus services, bike deliveries, and so on. However, conventional means of transportation (ie. private cars and mass transit) still form the backbone of urban mobility. Transportation planners and economists have at their disposal a large amount of data and tools capable of analyzing and predicting mobility patterns.
The objective of this course is to discuss these issues and provide an overview of:
1/ Urban transport modes along with their field of relevance and general business models
2/ Transportation modeling techniques (traffic demand and assignment)
3/ Performance assessment and evaluation techniques
The objective of this course is to discuss these issues and provide an overview of:
1/ Urban transport modes along with their field of relevance and general business models
2/ Transportation modeling techniques (traffic demand and assignment)
3/ Performance assessment and evaluation techniques
Learning outcomes :
By the end of this cours, students will have gained a general backgound on urban transportation systems, they will have got familiarized with emerging modes/concepts and modeling techinques, and they will have developped skills on new mobility data handling and analysis.
Level : Master, PhD
Examination : Written exam and group project
Format : Hybride
- Teaching coordinator: Christoforou Zoi