## 6 Conclusions  
The transport sector today mainly uses fossil fuels and contributes significantly to emissions of pollutant gases and greenhouse gases, which are harmful to health and responsible for altering the environment. Hence, there is a need to move toward more sustainable modes of transport by offering alternative modes of transport (collective, shared, etc. ), and designing and marketing vehicles that are more energy efficient and less dependent on fossil fuels. The optimization of public transport services can facilitate a reduction in the use of private vehicles without penalizing the mobility of individuals. The introduction of app-based DRT services can fulfill the travel needs in low-demand areas around the world. The widespread use of apps can also help to disseminate the concept of mobility as a service (Maas). Furthermore, the direct participation of users in the formulation and improvement of public transport services including DRT services must be strongly encouraged if companies want to optimize services and encourage the spread of multimodality. This paper evaluated the passengers' satisfaction with services offered by demand-responsive transport (DRT) services in Lahore, namely SWVL (choice A) and Airlift (choice B). The results offer an insight into which predictors affect the overall satisfaction and how it can be improved. This study is a first of its kind in the context of Lahore. Data were collected using a personal and web-based approach. Factor analysis was conducted on the data, which yielded two underlying factors for both DRT services and were labeled as service-attributes and ambiance. Users with motorcycle ownership were found to be more satisfied with service-attributes and ambiance of choice B. Education had a negative weak correlation with the underlying factors implying that users with higher education levels are less satisfied with choice B service. Previous studies have also found a negative correlation between users' education levels and public transport satisfaction. Ordinal regression showed that underlying factors were significant predictors of overall user satisfaction with choice A. Service-attributes had a larger positive impact on overall satisfaction with choice A as compared to ambiance. Hence, more investment can be geared towards the items loading on service-attributes to improve the overall satisfaction regarding choice A. Passengers in the lower income categories and older age group showed more overall satisfaction with choice A. The ordinal model for choice B fitted the data well; however, predictors were broadly found to be insignificant. Certain policy implications can be drawn based on the results of this study. Frequent travelers, which are mainly students, can be given special discounts and memberships in order to retain them. Similarly, focusing more on service-attributes such as travel time saving, spatial coverage, and speed can increase overall satisfaction especially with choice A. A more open procedure about adding new routes should be defined. In addition, outlining a clear mechanism regarding fare collection procedures is likely to improve overall satisfaction. Since most of the users are students, the frequency, timing, and routes can be aligned with the timings of the educational institutions along the routes to attract more users. This study had some limitations. The responses were collected from current users of DRT services only, whereas, there is a need to collect responses from non-users too in order to understand the reasons why they avoid using DRT. In addition, there are other factors such as personal traits and social and cultural constraints that might affect the overall satisfaction action with these transport services. Hence, future research in this area should take into account these factors. Nonetheless, the findings of this study provide important insights into the prospects of DRT services in Lahore and would help in developing appropriate policies for demand responsive transit.