In the new mobility-as-service context, traditional system design principles of transit services may be revisited to improve the overall system effectiveness. In this report, we developed methods to quantify the effectiveness of a transit system, where private mobility services coexist, by measuring costs, social equity, environmental benefits etc. gained from active lifestyle. A real-world case study has been implemented to learn design and policy insights. While conducting this research, we also realized that the transit demand of a study area is often not available due to missing data. Since this is an important input for any networkbased transit system design model, we also developed a method to infer missing transit demand via combing statistics and network modeling techniques.