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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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Case study on city-airports: Datasets and calculation models.

Alessandro Massaro1, Silvia Rossetti1

  • 1University of Parma, Italy.

Data in Brief
|March 1, 2021
PubMed
Summary
This summary is machine-generated.

This study analyzed geographic and economic data from EU airports using Geographic Information System (GIS) network analysis. Findings highlight network systems of small, remote airports, paving the way for broader airport system analysis.

Keywords:
Airport planningCity-airport planningNetwork AnalysisS.W.O.T. AnalysisTransport system analysis

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Area of Science:

  • Transportation Geography
  • Spatial Analysis
  • Airport Management

Background:

  • Airport data collection is crucial for understanding network systems.
  • Geographic Information System (GIS) offers advanced analytical capabilities.
  • Small and remote airports present unique network challenges.

Purpose of the Study:

  • To evaluate airport network systems using GIS.
  • To analyze geographic, economic, and financial data of airports.
  • To provide a foundation for comprehensive analysis of similar airport systems.

Main Methods:

  • Data collection from diverse sources (owners, stakeholders, universities, internet) spanning 2018-2019.
  • Geographic Information System (GIS) for spatial and network analysis.
  • Analysis of geographic, economic, financial, urban planning, carrier, and route data.

Main Results:

  • Summarized network system data for four pairs of small, remote EU airports.
  • Demonstrated the utility of GIS in Network Analysis for airport systems.
  • Established a methodology applicable to similar airport systems.

Conclusions:

  • GIS network analysis provides valuable insights into airport systems.
  • The study provides a framework for analyzing small, remote airports.
  • Further research can extend this analysis to other comparable airport systems.