Airport City Mappings and Aggregations

Airport City Mappings and Aggregations

By data.world's Admin [source]

About this dataset

This dataset provides mapping and aggregation data for airports, cities, and countries. It was created for The Pudding's story titled What Airport Traffic Tells Us About the World's Megacities, which was published in July 2018. The flight data included in this dataset was obtained from the ICAO API, with connections excluded in the counts.

The dataset contains information on flights to cities, including a mapping of cities with multiple airports as well as a reference file mapping cities to their corresponding airports. This allows for analysis and understanding of airport traffic patterns within different cities.

In addition to city and airport information, the dataset also includes details about countries where the airports are located. This comprehensive data provides insights into global air travel trends and facilitates further exploration regarding population demographics.

Please note that this dataset does not include specific dates related to flight records but offers a static snapshot of airport-city aggregations at the time it was created.

The original source for this dataset is mentioned as ICAO (International Civil Aviation Organization) through their API. The population data used can be directly downloaded from United Nations sources.

Overall, this expansive collection of data serves as a valuable resource for researchers interested in studying airport traffic patterns and understanding relationships between airports, cities, and countries worldwide

How to use the dataset

Understanding the Columns

• City: The name of the city.
• code_4: The 4-letter code representing the city.
• code_3: The 3-letter code representing the city.
• Airport Name: The name of the airport.
• three-digit code: The three-digit code assigned to the airport.
• four_digit: The four-digit code assigned to the airport.
• l1: The first level of location information for the airport.
• l2: The second level of location information for the airport.
• Country: The country where the airport is located.

Using Flight Data

The dataset includes flight data with mappings from cities to their corresponding airports.

• To find flights to specific cities, refer to /analysis_data/airport-city-aggregations.csv. This file provides mapping and aggregation data specifically for flights to cities, including multiple airports within each city.

• To determine which airports correspond to each city, consult /analysis_data/city-mappings.csv, which contains a mapping of cities with their corresponding airports.

Analyzing Airport Traffic

The dataset allows you to analyze airport traffic patterns and understand connections between different cities worldwide.

• You can filter or group by columns such as City, Country, or Airport Name to aggregate data based on your analysis needs.

• By cross-referencing flight routes depicted in maps provided in conjunction with this dataset (referenced in the source), you can gain insights into the world's megacities and their connectivity.

Population Data

For additional context, population data for cities and countries can be obtained directly from the United Nations (UN).

Example Analysis

You can use this dataset to answer various interesting questions, such as:

• Which are the busiest airports in terms of traffic?
• What are the major airline hubs around the world?
• How is airport traffic distributed across different countries and continents?
• How do flight frequencies vary between cities with multiple airports?
• Are there any emerging airport hubs in developing regions?

Remember to explore

Research Ideas

• Analyzing airport traffic patterns: This dataset can be used to analyze airport traffic patterns by examining the number of flights and passengers for each city and airport. Researchers or analysts can identify the busiest airports, the most popular routes, and the cities with the highest air travel demand.
• Studying city connectivity: The dataset provides information on cities and their corresponding airports, allowing researchers to study the connectivity between different cities around the world. By analyzing flight routes, researchers can gain insights into global transportation networks and identify major hubs for international travel.
• Exploring urbanization and economic development: Since this dataset i...

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On behalf of Australia, and in support of the Malaysian accident investigation, the Australian Transport Safety Bureau (ATSB) led search operations for missing Malaysian Airlines flight MH370 in the Southern Indian Ocean. Geoscience Australia provided advice, expertise and support to the ATSB to facilitate marine surveys, which were undertaken to provide a detailed map of the sea floor topography and to aid navigation during the underwater search.

This dataset comprises Side Scan Sonar (SSS), Synthetic Aperture Sonar (SAS) and multibeam sonar backscatter data at 5 m resolution. Data was collected during Phase 2 marine surveys conducted by the Governments of Australia, Malaysia and the People’s Republic of China between September 2014 to January 2017. The data was acquired by Echo Surveyor 7 (Kongsberg AUV Hugin 1000), Edgetech 2400 Deep Tow and SLH PS-60 Synthetic Aperture Sonar Deep Tow deployed from the following vessels: Fugro Supporter, Fugro Equator, Fugro Discovery, Havila Harmony, Dong Hai Jiu 101 and Go Phoenix.

All material and data from this access point is subject to copyright. Please note the creative commons copyright notice and relating to the re-use of this material. Geoscience Australia's preference is that you attribute the datasets (and any material sourced from it) using the following wording: Source: Governments of Australia, Malaysia and the People's Republic of China, 2018. MH370 Phase 2 data. For additional assistance, please contact marine@ga.gov.au. We honour the memory of those who have lost their lives and acknowledge the enormous loss felt by their loved ones.

Airport defines area on land or water intended to be used either wholly or in part for the arrival; departure and surface movement of aircraft/helicopters. This airport data is provided as a vector geospatial-enabled file format and depicted on Enroute charts.Airport information is published every eight weeks by the U.S. Department of Transportation, Federal Aviation Administration-Aeronautical Information Services.Current Effective Date: 0901Z 02 Oct 2025 to 0901Z 27 Nov 2025

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KEY FEATURES • Global Time Zones • Applicable to all available GeoJunxion geospatial time zones with daylight saving, where available • Correspond to the smallest available administrative layers • Time Zone boundaries for visualization, available upon request

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PROJECTION The global projection system used in GeoJunxion data is in decimal degrees (latitude and longitude) with WGS84 as datum, according to the ellipsoid model used for computations. Its spatial reference id is EPSG:4326.

CHARACTER SET The Unicode character-set used in the names, is in UTF-8.

COVERAGE Worldwide