A study of the domestic airline route network in India

By: Contributor(s): Material type: Computer fileComputer filePublication details: Ahmedabad Indian Institute of Management 2024Description: 37 p. ill. include referencsSubject(s): DDC classification:
  • SP2024/3862 SP003862
Summary: The domestic airline industry in India plays a crucial role in connecting cities and regions across the country, facilitating the movement of people and goods, and contributing significantly to economic growth. With a vast and diverse geography, ranging from bustling metropolitan hubs to remote and underserved areas, the airline network must efficiently meet the demands of both business and leisure travelers. This report provides a detailed analysis of the domestic airline network in India, focusing on the complex interplay between air traffic, network connectivity, and fare structures. By leveraging data scraped from various sources using Scrapy and Selenium, we constructed comprehensive airline networks for analysis using social network analytics. Key metrics such as degree centrality, betweenness centrality, and network efficiency were calculated to understand the structure and resilience of these networks. The study contrasts different network configurations, like hub-and-spoke and point-to-point, examining their impact on the robustness and operational efficiency of airline routes. Further, a core-periphery analysis using the surprise algorithm was conducted to identify the central hubs and peripheral airports, highlighting the hierarchical structure of the airline network. This analysis provides insights into how connectivity influences the strategic importance of different airports within the network. The report also delves into airfare analysis, comparing full-service carriers (FSCs) like Air India and Vistara with low-cost carriers (LCCs) such as Indigo, SpiceJet, and Akasa Air. Through Ordinary Least Squares (OLS) regression, we identified factors that contribute to price variations across different routes and carriers, shedding light on the pricing strategies adopted by these airlines. Lastly, a robustness analysis was performed by sequentially removing key nodes based on degree centrality, which illustrated the vulnerability of different airline networks to targeted disruptions. This analysis underscores the importance of central airports and highlights how different carriers manage their network resilience. The findings from this comprehensive analysis offer strategic insights into optimizing airline operations and understanding the competitive dynamics within India's domestic aviation market.
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Submitted to Prof. Pritha Dev
Submitted by Manas Puthiya Purayil | Utkarsh Bhalode

The domestic airline industry in India plays a crucial role in connecting cities and regions across the country, facilitating the movement of people and goods, and contributing significantly to economic growth. With a vast and diverse geography, ranging from bustling metropolitan hubs to remote and underserved areas, the airline network must efficiently meet the demands of both business and leisure travelers.

This report provides a detailed analysis of the domestic airline network in India, focusing on the complex interplay between air traffic, network connectivity, and fare structures. By leveraging data scraped from various sources using Scrapy and Selenium, we constructed comprehensive airline networks for analysis using social network analytics. Key metrics such as degree centrality, betweenness centrality, and network efficiency were calculated to understand the structure and resilience of these networks. The study contrasts different network configurations, like hub-and-spoke and point-to-point, examining their impact on the robustness and operational efficiency of airline routes.

Further, a core-periphery analysis using the surprise algorithm was conducted to identify the central hubs and peripheral airports, highlighting the hierarchical structure of the airline network. This analysis provides insights into how connectivity influences the strategic importance of different airports within the network.

The report also delves into airfare analysis, comparing full-service carriers (FSCs) like Air India and Vistara with low-cost carriers (LCCs) such as Indigo, SpiceJet, and Akasa Air. Through Ordinary Least Squares (OLS) regression, we identified factors that contribute to price variations across different routes and carriers, shedding light on the pricing strategies adopted by these airlines.

Lastly, a robustness analysis was performed by sequentially removing key nodes based on degree centrality, which illustrated the vulnerability of different airline networks to targeted disruptions. This analysis underscores the importance of central airports and highlights how different carriers manage their network resilience. The findings from this comprehensive analysis offer strategic insights into optimizing airline operations and understanding the competitive dynamics within India's domestic aviation market.

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