Mobility Trends: Results from Case Studies in Santiago de Chile, Paris, Vienna and Singapore
Mirko Goletz, DLR, Irene Feige, Ifmo, Dirk Heinrichs, DLR
Using results from five case studies of OECD cities around the world, we analyse motives of users to explain recent mobility trends.
Urban mobility around the world is changing. In many cities, car use is declining, while the shares of non-motorised modes and public transport are growing. However, observations indicate that these trends are neither linear nor do they occur in uniform ways across different cities. Rather they need to be understood in their specific cultural, economic and political context.
A possible way to structure such a context-specific analysis is to differentiate between the (surrounding) conditions on the one side, and the user’s behaviour on the other. Obviously, both depend on each other: in most OECD countries, the transportation supply is usually a result of planning processes and policies, which ideally take into consideration the needs of users. On the other hand, the users’ behaviour depends on the perception of the transport options available. These may depend on the availability of modes, but also on aspects like financial constrains or individual perceptions of social norms and pressures.
This paper focuses on the interdependence between the available transport options and changing mobility behaviour, especially for cars on the one side and non-motorised modes and public transport on the other. Specifically, it uncovers underlying motives that explain mode choice of users. The analysis is based on information gathered during qualitative in-depth interviews and focus groups in major cities of OECD countries: Paris, Santiago de Chile, Singapore and Vienna. The users assessed are selected under the criteria of being responsible for mayor, remarkable developments in the example cities.
The results show a broad variety of user motives regarding mode choice. These motives vary for different modes of transportation, but also from case to case: a mayor influential factor in one city may not be relevant in another city. By additionally clustering the results, similarities and differences of motives are shown.
Association for European Transport