In response to the growing housing shortage in the Netherlands, particularly in urban areas where land availability is constrained, local governments are increasingly considering urban expansion into peripheral areas, even those near freeways. These areas offer convenient car access but pose challenges for sustainable development due to the potential for increased congestion. This research focuses on developing mobility design strategies to reduce car usage and promote public transit in such peripheral areas. The central research question is: "Which mobility design strategies, regarding public transit and car parking planning, should be implemented to reduce car usage and enhance the attractiveness of public transit in a peripheral urban area?" To address this question, a Discrete Choice Model was developed to analyze commuting mode choice behavior under different scenarios. The research began by identifying influencing factors from the literature, including relevant urban transportation modes (bus, light rail, car, and bike), trip characteristics, personal attributes, and environmental factors. The study focuses on Rijnenburg, an outskirt area of Utrecht, which is poised for significant urban development but faces challenges due to its car-friendly location at the intersection of two major highways. Three design scenarios—Conventional, Sustainable, and Ambitious—were developed based on existing municipal development strategies. These scenarios consider various factors such as public transit stop density, line frequency, route planning, vehicle type, parking facility location, and parking costs. A Stated Preference survey was conducted to gather data from 200 respondents, which informed the construction of both a Multinomial Logit (MNL) model and a Panel Mixed Logit (Panel ML) model. While the MNL model was ultimately chosen for its balance of accuracy and interpretability, the study revealed a strong preference for bikes over cars among respondents, highlighting the potential for shifting mode choice through strategic design interventions. The analysis showed that the Ambitious scenario, which includes tougher interventions such as higher parking costs and restricted parking locations, was most effective in reducing car usage. However, the scenario's feasibility was questioned, leading to a recommendation for a hybrid approach combining elements of the Sustainable scenario with stricter car parking measures. The research also highlighted several limitations, including potential biases in the survey sample and the exclusion of certain factors from the model. Nonetheless, the findings suggest that a combination of mobility strategies—focused on optimizing public transit accessibility and increasing barriers to car use—can significantly contribute to sustainable urban development in peripheral areas like Rijnenburg. In conclusion, the recommended strategies, particularly the reduction of transfers in public transit and the strategic location of parking facilities, are expected to play a crucial role in promoting sustainable mobility in Rijnenburg. Further research is recommended to refine these strategies and explore their applicability to a broader range of contexts.