Through passenger analytics, airports can improve their terminal efficiency for all users, at all levels, for everyone's benefit. This infographic overviews the three steps to performance optimization through passenger analytics. Also included, are real world examples of how these steps have been applied in airports. For more information, click here: http://bit.ly/2bfZDPc

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THE REAL VALUE OF
Passenger Analytics
“Management by Information”
Brings Increases in Productivity
and Revenue
Optimized management of airports is becoming increasingly critical for airport
users at all levels. Excessive queuing and terminal congestion hurts not only
the passenger experience, but also increase airport operating and capex costs,
and damages the bottom lines of retailers and airlines. Best practice guidance
for airport operators has advanced considerably to take full advantage of
technology and a full range of information sources. With a systematic and
strategic approach, airport operators can improve their terminal efficiency
for all users, at all levels, for everyone’s benefit.
AreasWhere Performance Analytics Can
Improve Airport Performance:
• Security screening
• Wayfinding and
advertising
• Gate management
• Passport control
• Bag claim
• Ground services
(car rental, limousines)
• Car parking• Curb management
• Airport lobby
• Check-in desks
minute improvement
in dwell time
10 increase in
concourse revenue
12%
increase in commercial
revenue within two years*
Current and historical passenger flows and dwell time are
monitored within specific terminal segments.
Data on commercial retail performance are analyzed to gain
an understanding of airport activities and events.
Performance is optimized by refining retail programs and
monetizing results.
Example 3: Retail Concessions
*ICF estimates (large hub airport) (multiple
factors involved including product mix upgrade)
$650K
REAL
VALUE:
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2
3
REAL
VALUE:
reduction in need
for check-in desks
50%
reduction in
airline check-in desk
20%
in capex
savings
$60M
Performance is optimized through technology, layout, and
coordination among airlines.
Example 2: Airline Check-in CHECK-IN
A
REAL
VALUE:
Heat map data are captured to show passenger queuing.
Data analysis, process mapping, and predictive modeling produce
complete understanding of physical/operational chokepoints.
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REAL
VALUE:
Data gathered from existing airport sensors track
passenger queuing over time and monitor performance.
In combination with multiple data sources, accurate
forecasts are produced.
Performance is optimized through redesign of
passenger queuing process and improving wait times.
Example 1: Security Screening
improvement in security
screening throughput within three years
SECURITY
CHECKPOINT
40%
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Real-World Examples of theThree Steps Applied in Airports
Systematic Data Capture
Sensor technologies can systematically track passenger
movement through an airport terminal.
Analysis and Predictive Modeling
Managers can analyze data and build models to understand areas
of current and future passenger congestion.
Performance Optimization
Airport management can use information to improve terminal
performance, enhance the passenger experience, generate
additional retail revenue, and work collaboratively with airport
stakeholders (airlines, TSA, concessionaires, third-party vendors)
to operate more efficiently and effectively.
Three Steps
for Performance
Optimization
Passenger analytics involves
three interconnected elements
that capture passenger activity
and use the data to make more
informed and effective
management decisions.
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