RTEpaper: European airports statistical data (used for the RTE paper)
In spfrontier: Spatial Stochastic Frontier Models

RTEpaper

R Documentation

European airports statistical data (used for the RTE paper)

Description

The spfrontier package includes the dataset RTEpaper, containing information about European airports infrastructure and traffic statistics in 2011 and used in Pavlyuk, D., 2016. Implication of spatial heterogeneity for airports’ efficiency estimation. Research in Transportation Economics 56, 15–24. https://doi.org/10.1016/j.retrec.2016.07.002.

Format

A dataframe with 39 observations on the following 24 variables.

ID: Airport identifier
ICAO_code: Airport ICAO code
Country: Airport country
AirportName: Airport title
latitude: Airport latitude
longitude: Airport longitude
Year: Year of observation
PAX: A number of passengers served by an airport
cargo: A total volume of cargo served by an airport
Population100km: A number of inhabitants, living in 100 km around an airport
Island: 1 if an airport is located on an island; 0 otherwise
SouthIsland: 1 if an airport is located on a European South island; 0 otherwise
Routes: Number of routes, served byt the airport
RunwayCount: A number of airport runways
NUTS0: NUTS0 region
NUTS1: NUTS1 region
NUTS2: NUTS2 region
NUTS3: NUTS3 region
Tourists: Number of tourists in airport's NUTS2 region
Area: Area of airport's NUTS2 region
GDPpc: Gross domestic product per capita in airport's NUTS3 region
hub: Hub status of the airport, based on the number of served routes
international: INternational status of the airport
ownership: Ownership of the airport - public, minor private, major private, private
RunwayLength: Total length of the airport's runways

Source

RTEpaper: #' Pavlyuk, D., 2016. Implication of spatial heterogeneity for airports’ efficiency estimation. Research in Transportation Economics 56, 15–24. https://doi.org/10.1016/j.retrec.2016.07.002.

spfrontier documentation built on Jan. 30, 2023, 3:02 p.m.