The urban mobility sector is developing at a fast pace and is demanding transportation systems to be resilient and sustainable. Policy makers deal with an extensive offer of new technologies but lack an overview of the contribution of these mobility solutions to their urban planning ambitions. Uncertainty exists regarding both the technological advancements and the future of the mobility sector in a more general sense. Hence, there still seems to be a challenge to overcome for policy makers to transform the mobility system and adapt to the developments. The applications are clear and literature on implementation is present, but no specific guidance in terms of trade-offs is available to governmental organizations working on urban infrastructure. This is also shown by a lack of literature on decision support systems for smart mobility. On top of that, there is a more practical motivation for a tool that provides an overview on the possibilities in smart mobility applications and their effects. Engineering and consultancy firm Witteveen+Bos requested a design for such a tool, to be able to provide more insightful advice on smart mobility solutions to their clients. The present study concerns the development of a tool that gives insight in the (expected) effects of investments in different smart mobility solutions The research question is formulated as: What is a useful tool for policymakers to quickly assess effectiveness and efficiency of smart mobility applications? The tool designed assesses the mobility situation in a municipality, suggests smart mobility applications that are relevant in regards to specific mobility ambitions, and has set the first steps for a framework to assess the effects of smart mobility applications. On top of that, the tool is verified by testing for all user and system requirements that were set by consulting policy makers and experts, evaluated by means of a walk-through of all the units in the tool, and validated with the envisioned users to evaluate if the tool is relevant and supports their decision-making process.

This study has investigated the effect of the urban environment on pedestrian route choice behaviour, for walking routes to and from train stations in the Netherlands. To the best knowledge of the author, this is the first pedestrian route choice study which is performed at country-level scope. This was made possible by applying an innovative quasi-revealed preference approach. Respondents self-reported their route preferences through an online GIS survey. Outputs were subsequently analysed by overlaying route data with a range of open geodata sources and searching for statistical similarities between certain urban features and (in)frequently taken routes. Results from statistical testing are verified by testing these against a qualitative text-coding analysis. The study finds that pedestrians in the Netherlands have a strong preference for the route which they perceive to be fastest, especially when they are en-route to a train station. Pedestrians dislike features which they perceive as ’slowing’ them down such as traffic lights. Detours are found somewhat more often on from-station routes, with such detours leading via environments which are attractive for social reseasons such as shops or busy streets. The method was found to work fairly well and should now be tested on a larger population sample with more variables.