@BOOK{NAP14470, author = "Transportation Research Board and National Academies of Sciences, Engineering, and Medicine", title = "Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging", doi = "10.17226/14470", abstract = "TRB\u2019s Airport Cooperative Research Program (ACRP) Report 41: Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging provides the information and tools, included on and accompanying CD-ROM, necessary for an airport or airline to determine the appropriateness of pursuing passenger self-tagging should it be allowed in the United States in the future.The tools, in an Excel Spreadsheet format, allow for the input of airport-specific information, such as facility size and passenger flows, while also providing industry averages to assist those airports and airlines that haven\u2019t yet collected their individual information. The decision-making tools provide both qualitative and quantitative information that can then be used to assess if passenger self-tagging meets organizational needs or fits into their strategic plan.Appendix A to ACRP 41 was published online as ACRP Web-Only Document 10: Appendix A: Research Documentation for ACRP Report 41.The CD-ROM included as part of ACRP Report 41 is also available for download from TRB\u2019s website as an ISO image. Links to the ISO image and instructions for burning a CD-ROM from an ISO image are provided below.Help on Burning an .ISO CD-ROM Image is available online.Download the .ISO CD-ROM Image.(Warning: This is a large file that may take some time to download using a high-speed connection.)A errata for the printed version of this document is available online. The errata material has been incorporated into the electronic version of the document.View information about the February 9, 2010 TRB Webinar, which featured this report.", url = "https://nap.nationalacademies.org/catalog/14470/guide-to-the-decision-making-tool-for-evaluating-passenger-self-tagging", year = 2011, publisher = "The National Academies Press", address = "Washington, DC" }