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- W4386869677 abstract "This study aimed to identify factors influencing the performance of non-major airports, which were crucial for addressing their sustainability and the economic development of their adjoining region. It was based on actual time series and cross-section data of twenty non-major airports located in fifteen states of India. Ten-year panel data was used for panel data regression between model and random effect models. The influencing factors were assumed to comprise five city demographics (population, per-capita index, urbanization, human development index and wealth index) and fourteen airport-specific variables (three types of aircraft departures, drive time to metro airports, movement, of aircraft and cargo, terminal area, lease areas of land, retail, advertisement, car park, operational hours, aviation fuel and employees). It was observed that the per capita income of airport region, aircraft departures and urbanization positively affected the airport passenger movement. Passenger movement, area of advertisement and terminal and fuel upload influenced the revenue positively. Aircraft movement, terminal size, and employee number positively impacted expenditure. Increased airport passenger movement and income would be possible by operating at least two aircraft departures to metro airports and providing more advertisement areas for lease. Minimizing the number of regular employees by multi-tasking and outsourcing would reduce the expenditure." @default.
- W4386869677 created "2023-09-20" @default.
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- W4386869677 date "2023-01-01" @default.
- W4386869677 modified "2023-10-02" @default.
- W4386869677 title "Airport passenger movement, revenue and expenditure at non-major airports using panel data regression" @default.
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- W4386869677 doi "https://doi.org/10.1016/j.ssaho.2023.100658" @default.
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