Can We Leverage Text Analysis to Inform Policy Priorities Through a Community Engagement Grid?

The implementation of new performance-based navigation procedures at an East Coast airport in 2016 required the airport authority to step up its engagement with airport community residents. This case study leverages natural language processing to explain changes in the sentiments of airport community residents from 2015 to 2021. Natural language processing algorithms made it possible to create a community engagement grid that highlights issues identified in digital prints and social media and allows decision-makers to prioritize them based on awareness and urgency.

• Record URL:
  • https://doi.org/10.1177/03611981231213084
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • Data availability is subject to request approval.© National Academy of Sciences: Transportation Research Board 2024.
• Authors:
  • Diana, Tony
• Publication Date: 2024-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1100-1110
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2678
  • Issue Number: 7
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Airports; Algorithms; Communities; Public opinion; Residents; Social media
• Subject Areas: Aviation; Data and Information Technology; Safety and Human Factors;

Filing Info

• Accession Number: 01904816
• Record Type: Publication
• Files: TRIS, TRB
• Created Date: Jan 17 2024 4:54PM