Page 97 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470

Fig.2 Proposed Research Model
5. Optimization and Feedback Loop:
 Goal: To continuously improve the app based on feedback and data collected during the evaluation phase.
 Methods: A continuous feedback loop will be implemented, where users’ suggestions and issues reported through in-app
support will directly inform further updates and optimizations.
Outcome Metrics:
 Safety Score: A composite score derived from user ratings, incident reports, and response times to emergencies.
 Satisfaction Rating: User-reported experience across safety, convenience, and usability.
 Operational Efficiency: Ride matching accuracy, system uptime, and average wait times.

 Adoption and Retention Rates: Growth in the number of active users and long-term retention over time.
By implementing this research model, the study aims to provide empirical evidence of the benefits of a women-only cab service
with enhanced safety features for parents.
V. PERFORMANCE EVALUATION
The performance evaluation of the proposed women-only cab app with enhanced safety features for parents focuses on key
metrics that reflect both the technical efficiency and user satisfaction of the system. The evaluation aims to assess the system’s
operational effectiveness, safety features, user experience, and scalability. This comprehensive evaluation will determine
whether the app successfully meets its design goals and identifies areas for improvement.
Key Performance Metrics:
1. Safety and Security:
 Incident Reporting Rate: Measures the frequency of safety-related incidents, such as harassment or accidents, reported
through the app. The target is to reduce this rate compared to traditional ride-hailing services.
 Response Time to Emergencies: The time taken to respond to emergency situations through the app’s emergency button
feature, including alerting the nearest authorities or contacts.
 Verification Process Success Rate: The percentage of female drivers successfully passing the background check and
verification process. A high rate indicates a robust verification system.
 Panic Button Usage Rate: The frequency of panic button usage in emergencies. The system should allow quick
notifications and responses, measured in real-time.
2. Operational Efficiency:
 Ride Matching Accuracy: The accuracy of matching passengers with appropriate drivers, based on location, preferences
(e.g., child safety seat), and availability. The goal is a high matching success rate with minimal wait times.
 System Latency and Uptime: The speed and reliability of the app’s backend, including load times and operational uptime.
It should ensure smooth navigation and minimal downtime during peak hours.
 Real-Time Tracking Accuracy: The accuracy and reliability of the GPS tracking feature, ensuring both passengers and
drivers have access to accurate and real-time location data during rides.

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 87