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.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Diana, Tony (author)


    Publication date :

    2024-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English