General information

Course type AMUPIE
Module title Geography of sustainable urban mobility
Language English
Module lecturer dr Michał Dzięcielski, prof. UAM dr hab. Adam Radzimski
Lecturer's email dzieciel@amu.edu.pl
Lecturer position
Faculty Faculty of Human Geography and Planning
Semester 2024/2025 (winter)
Duration 20
ECTS 4
USOS code 25-GSUM-AMU-PIE

Timetable

Will be provided at the start of semester.

Module aim (aims)

The module aims to demonstrate how geography helps in a better understanding of urban transport. As a large share of travel takes place within cities, the organisation and functioning of urban transport systems have got profound impacts in different spheres, including, but not limited to economic activity, social cohesion, climate change, and quality of life.

Pre-requisites in terms of knowledge, skills and social competences (where relevant)

Syllabus

Week 1: Introduction to geography of urban transport
Week 2: Basic concepts: mobility and accessibility
Week 3: Well-being and satisfaction with travel
Week 4: Urban transport and land use
Week 5: Mobility in smart cities
Week 6: Bike-sharing, e-scooters
Week 7: Future urban mobility
Week 8: Mobility as a service
Week 9: Field trip
Week 10: Presentations of students' projects

Reading list

Suggested readings

Banister D. (2008). The sustainable mobility paradigm, Transport Policy 15(2): 73-80.
Delbosc A., Currie G. (2011). The spatial context of transport disadvantage, social exclusion and well-being, Journal of Transport Geography, 19(6): 1130-1137.
Gadziński J. (2018). Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study, Transportation Research Part C: Emerging Technologies 88 : 74-86.
Iacono M., Krizek K., El-Geneidy A. (2010). Measuring non-motorized accessibility: issues, alternatives, and execution. Journal of Transport Geography 18(1): 133-140.
Javed A.R., Shahzad F., Rehman S.U., Zikria Y.B., Razzak I., Jalil Z., Xu G. (2022). Future smart cities requirements, emerging technologies, applications, challenges, and future aspects. Cities, 129, 103794
Nikitas A., Michalakopoulou K., Njoya E.T., Karampatzakis D. (2020). Artificial intelligence, transport and the smart city: Definitions and dimensions of a new mobility era. Sustainability, 12 (7), pp. 1 – 19
Schwanen T, Dijst M, Dieleman FM (2004). Policies for Urban Form and their Impact on Travel: The Netherlands Experience. Urban Studies, 41(3): 579-603.
Schwanen T., Mokhtarian P. (2005). What affects commute mode choice: neighborhood physical structure or preferences toward neighborhoods? Journal of Transport Geography 13(1): 83-99.