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Logical framework approach (LFA) for Oman Taxi Application .

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Presentation on theme: "Logical framework approach (LFA) for Oman Taxi Application ."— Presentation transcript:

1 Logical framework approach (LFA) for Oman Taxi Application .

2 Introduction Logical Framework matrix Prototyping with Use Case Model Development Ideas

3 INTRODUCTION With very few modes of transport available in the region compared to other countries, the taxi option is widely used by the civilians, despite its few limitations. Bargaining (No meters) No point to point service No designated stands

4 INTRODUCTION Logical framework approach is applied as an effective tool to provide the planning for projects, be it in the strategic plans, company operational plans or the development of software or mobile application.

5 INTRODUCTION With the advent of mobile applications in all such area the calling of taxi and its ride can be made easy for the passengers. There are currently only few mobile applications available in the region, with the fact that the recently developed application is rated as low by 42% of the respondents (36/85). The major reason for low rating is that the passengers find the fare policy to be expensive.

6 INTRODUCTION In order to successfully implement all the criterion needed for the mobile based taxi application, we have studied achievable objectives in detail. This study reveals the major modules required for developing the OTA by using LFA, along with the functionality logic given in use case model.

7 Logical framework approach (LFA) matrix
Narrative Summary Objectively Verifiable Indicators (OVI) Means of Verification (MOV) Assumptions GOAL: To provide fast and satisfactory service to the taxi passengers Overall Application rating Rate average General app rating in the scale of 1 to 5 OBJECTIVE: To establish a local standard for taxi ride through the application activities. Comparison with existing taxi applications

8 Logical framework approach (LFA) matrix
Narrative Summary Objectively Verifiable Indicators (OVI) Means of Verification (MOV) Assumptions ACTIVITIES: Registration Login Source selection Rate estimate Driver and wait status Passenger details Payment User Rating History Logout 1,2 & 10. User database 3. List of Pick-up points or selection through GPS. 4. Bill calculation. 5. Location details. 6. User database. 7. Ride kilometres and duration. 8. Application rate meter 9. Passenger rides. 1,2 & 10. SQLite database 3. Drop down list or map Pointer. 4. Payment = Distance x unit rate 5. Distance between driver and passenger, ETA. 6. Retrieving from SQLite. 7. Distance and time from source to destination. 8. Google statistics 9. Retrieving from SQLite. Navigation may be provided through direct area selection or using GPS location. The minimum wage and maximum duration can be considered as per company policy. The history maintenance gives an idea of total rides to passengers, and may also provide discount for next ride.

9 prototyping with use case model
Android pp Use Cases for OTA

10 FUTURE development The suggested activities can be implemented by developing an android application, by using MIT App inventor or Android Studio. However, the detection of exact region of source and destination through GPS remains a challenge, due to the factors such as signal strength and internet connectivity

11 REFERENCES Chan, J. W., Chang, V. L., Lau, W. K., Law, L. K., & Lei, C. J. (2016). Taxi App Market Analysis in Hong Kong. Journal of Economics, Business and Management, 4(3), doi: /joebm.2016.v4.397 Couillard, J., Garon, S., & Riznic, J. (2009). The Logical Framework Approach-Millennium. Project Management Journal, 40(4), doi: /pmj.20117  Gröger, C., Silcher, S., Westkämper, E., & Mitschang, B. (2013). Leveraging Apps in Manufacturing. A Framework for App Technology in the Enterprise. Procedia CIRP, 7, doi: /j.procir Lalos, P., Korres, A., Datsikas, C. K., Tombras, G. S., & Peppas, K. (2009). A Framework for Dynamic Car and Taxi Pools with the Use of Positioning Systems Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns. doi: /computationworld Santos, D. O., & Xavier, E. C. (2015). Taxi and Ride Sharing: A Dynamic Dial-a-Ride Problem with Money as an Incentive. Expert Systems with Applications, 42(19), doi: /j.eswa

12 Thank You ! Brijesh Jajal, Al Zahra Al Omairi , Shaima al Sabbagh
Higher College of Technology | Muscat


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