Transports currently account for a significant amount of carbon dioxide emissions, which has a negative impact on the environment and climate. Simultaneously, an increasing number of people are choosing to move to cities, which presents challenges for accessibility and mobility. Car usage is a major contributor to these problems, which creates a need for tools to encourage more people to choose sustainable modes of transportation over driving. This study examines mobility management (MM), which includes strategies and methods that aim to encourage people towards usage of sustainable modes of transport by influencing attitudes and behaviours.
This study investigates how the municipalities of Lund and Växjö are implementing mobility management to reduce car usage and promote sustainable transportation. Furthermore, the study aims to explore the challenges and opportunities associated with MM efforts, as well as to identify the lessons learned by the officials working with MM. The research questions are addressed by analysing documents that provide guidelines for the municipalities work and through interviews with municipal officials. The Urban Fabrics Theory is used as a theoretical framework for the research, focusing on walking, cycling, public transportation, and car usage separately.
The result of the study reveals that Lund has a strong tradition of working with MM compared to Växjö, where it is not as well established. The interviews indicate that both municipalities mainly focus on promoting cycling, which contradicts the strategic documents emphasizing the importance of increasing walking. The biggest challenges in MM work are gaining support from political decision-makers, as it is often difficult when measures aim to reduce car usage. Additionally, it is challenging to persuade people to reduce car usage due to the freedom, security, and status associated with cars. Successful MM requires continuity and long-term measures, as it takes time to build a culture where sustainable transportation is the obvious choice. Finally, the study identifies a lack and complexity in evaluating MM work, making it difficult to see the effects of MM measures.