Ireland’s National Transport Authority (NTA) has a responsibility for the update and maintenance of the multi-modal National Transport Model which is used in the assessment and analysis of major transport schemes and interventions across the country. Central to the model functionality is the requirement for accurate and consistent land use data inputs, notably in terms of travel demand. To provide a comprehensive demand dataset, in 2023 the NTA undertook a nationwide project to reassess the base year and future year datasets for population and employment. This enhanced forecasting methodology utilized web-based technology to facilitate a collaborative project directly involving all 31 Irish Local Authorities. As part of this project, the NTA assessed how various existing datasets could be utilized together to forecast population and employment variables more accurately. This project worked to improve the consistency and accuracy of data across numerous different organizations and ensured that the data was deliverable at all relevant policy scales, from national and regional to a small area level. Central to this project was the delivery of a new digitized approach, which allowed the coordination of various datasets, firstly to facilitate the use of input data that can improve decision making processes, but also in terms of how the data was collected and controlled for accuracy and consistency. Developing this methodology and working closely with Local Authorities to collate information in an accurate and coordinated manner at a local level, has ensured that the NTA, local authorities and other agencies have robust and consistent base year and future year datasets, which can facilitate evidence-based decisions on Strategic Planning issues and assist in the realization of key sustainable development goals.


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    Title :

    Enhanced Transport Demand Forecasting and Digitalization


    Additional title:

    Lect.Notes Mobility



    Conference:

    Transport Research Arena Conference ; 2024 ; Dublin, Ireland April 15, 2024 - April 18, 2024



    Publication date :

    2025-03-07


    Size :

    6 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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