Don’t be left at the gate: A practical guide to AI adoption for airports

Modern airports face increasing challenges due to the growing number of passengers and evolving security threats. The successful operation of an airport requires a delicate balance between efficiency, security and passenger satisfaction. Artificial intelligence (AI) offers the potential to revolutionise airport operations by improving passenger experience, enhancing security and optimising efficiency. Implementing AI presents challenges, however, including the need for a strong data foundation and a focused approach. Organisations should avoid trying to do too much at once and focus on specific AI applications. Building a data-driven culture and investing in data teams and chief data officers (CDOs) are essential for successful AI adoption. By addressing these challenges and embracing AI, airports can create a more efficient, secure and passenger-friendly environment.

Authors

Publication Details

Journal
Journal of airport management
Published
2024-12-01
DOI
https://doi.org/10.69554/nwfq3298
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Don’t be left at the gate: A practical guide to AI adoption for airports

Chris Crist
Journal of airport management
Aviation Industry Analysis and Trends
article

Don’t be left at the gate: A practical guide to AI adoption for airports

Chris Crist
article en

Abstract

Modern airports face increasing challenges due to the growing number of passengers and evolving security threats. The successful operation of an airport requires a delicate balance between efficiency, security and passenger satisfaction. Artificial intelligence (AI) offers the potential to revolutionise airport operations by improving passenger experience, enhancing security and optimising efficiency. Implementing AI presents challenges, however, including the need for a strong data foundation and a focused approach. Organisations should avoid trying to do too much at once and focus on specific AI applications. Building a data-driven culture and investing in data teams and chief data officers (CDOs) are essential for successful AI adoption. By addressing these challenges and embracing AI, airports can create a more efficient, secure and passenger-friendly environment.

Journal of airport managementVol. 19(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Aviation Industry Analysis and Trends
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.