Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging (2011) / Chapter Skim
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This data is used to create a throughput and queue model, which shows the demand versus the capacity for processor resources over time, and a space model, which shows the variances between the current space allocation and the space requirements for the simulated environment. The model can be used to calculate the resources and space required for self-tagging and traditional check-in, as well as kiosk, rework, and bag drop-off.
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This sheet allows the user to input the name of airport that is being assessed, the date of assessment, the person leading the effort, and the contributors, including respective company and department affil24 Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging Figure 7. Self-Tagging Assessment Tool outline.
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The user shall select "yes" in the drop down box for each characteristic that accurately describes the subject airport. Business Driver Assessment The Business Driver Assessment worksheet, as shown in Figure 11, is designed to identify the appropriate self-tagging strategy for the subject airport based on its primary business drivers.
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26 Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging Figure 10. Airport Profile worksheet.
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Figure 13. Facility Impact Assessment worksheet.
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Operational Impact Assessment The Operational Impact Assessment worksheet, as shown in Figure 15, is designed to identify the operational prerequisites to implementation that must be addressed to achieve a successful 28 Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging Figure 14. Legal/Financial/Risk Impact Assessment worksheet.
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The Self-Tagging Decision-Making Tool User Guide 29 Figure 16. Regulatory/Security Impact Assessment worksheet.
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30 Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging Figure 17. Technical Impact Assessment worksheet.
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Sample values, identified through case studies and from the ACRP Report 25: Airport Passenger Terminal Planning and Design, are included as Appendix B for cases in which accurate data cannot be obtained (Transportation Research Board, 2010)
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Passenger Profile Input (Figure 22)
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Figure 21. Flight Profile Input.
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34 Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging Figure 22. Passenger Profile Input.
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Space Model The Space Model, as shown in Figure 31, illustrates the current space allocation versus the simulated space requirements for each of the passenger processing resources in terms of square feet, based on the values entered in the profile input sheets. A summary table is used to identify the current square footage and the simulated square footage for each resource.
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Check-In Counter/Bag Drop Demand vs. Capacity Over Time.
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The Self-Tagging Decision-Making Tool User Guide 37 Figure 27. Agent-Assisted Bag Drop Demand vs.
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Self-Tag Bag Drop Demand vs. Capacity Over Time.
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Step 2. Enter values for agent staffing of the Self-Tag Bag Drop and the Self-Tag Kiosks based on estimates of need.
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f. Agent-Assisted Bag Drop Queuing -- square footage per person in agent assisted bag drop queue line.
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