1. End Users: Aviation Professionals, Stakeholders, Engineers, Product Owners, Flight Equipment owners
2. End User : Passengers, Airlines stakeholders
3. How
3.1. Passenger traffic stats
3.2. Comparative Analysis- 5-10 years
3.3. Predictive Analysis
3.4. Machine Learning
3.5. Format: Web page interactive
4. Is Civil Aviation, India equipped for future passenger traffic?
4.1. Trends in operating economics
4.1.1. Cost structure factors
4.1.1.1. Fuel
4.1.1.2. Flight equipment
4.1.1.3. General & Administrative
4.1.1.4. Flight equipment Maintenance & Overhaul
4.1.1.5. User Charges
4.1.2. Airlines: Comparison of cost structure
4.1.3. PLF (Passenger Load Factor)
4.1.4. BELF(Break-even Load Factor)
4.1.5. Revenue, Expenses, Results
4.2. Airline Performance
4.2.1. On-time
4.2.2. Fleet/ Number of aircrafts
4.3. Air Transport
5. Datasets
5.1. Tourism Stats India: Tourism Statistics of India
5.2. Aviation Data: Aviation
6. Users
6.1. Stakeholders
6.2. Marketeers
6.3. Aviation professionals
6.4. Aerospace technologists
6.5. Non-professionals
6.5.1. Readers/ viewers
6.5.2. Customers
6.6. Researchers, Analysts & Innovators
6.7. Airline operation management
6.8. Equipment providers, manufacturers
6.9. Investors
7. Passenger Traffic Prediction
7.1. Metro-cities : Mumbai, Delhi, Calcutta, Hyderabad
7.2. Comparative Analysis of Airlines based Passenger Traffic
7.2.1. Domestic
7.2.2. International
7.3. Flights
7.3.1. Airlines
7.3.1.1. Domestic
7.3.1.2. International
7.3.2. Frequency
7.3.3. Timings
7.4. Airfare trends
7.4.1. Monthly
7.4.2. Business Models
7.5. Airports
7.5.1. No. of airports
7.5.2. Domestic
7.5.3. International
7.5.4. Access to airport
7.5.5. Operational/ Non operational
7.6. Population : Metro Cities
7.7. Seasons, Festivals
7.7.1. What festival: religion
7.7.2. When
7.8. Which airlines are passengers most likely to fly?
7.9. Environmental factors
7.9.1. Weather changes
7.9.2. Global warming
7.9.3. Seasonal passenger traffic
7.10. Air Travel Safety
7.10.1. Flight Accidents
7.10.1.1. Airlines