Research and Publication
Transport Modelling Journal and Conference papers
This page hosts links to seminars, papers, journals and conferences relevant to Transport Modelling at National Transport Authority.
NTA_Luas Park&Ride Pilot Survey 2017
Research & Publications
Desire to work from home: Results of an Irish study
by Science Direct
Representing an unpredicted change in the way large amounts of people undertake their day to day work
NOTE: The following link is to an external website, NTA has no control nor responsibility for its content.
Study Results here
Modeling Intrazonal Distance and Duration in Addressing Limitation of Intrazonal Generalized Cost Commonly Applied in Transport Models
by Journal of Transportation Engineering, Part A: Systems
In this study, the intrazonal GC that was developed in the National Transport Authority’s (NTA) regional modelling system using a conventional fixed-fraction method (base) was compared to intrazonal GCs for six travel modes [passenger cars, bus, cycle, walk, taxi (passenger) and light goods vehicles] that were estimated using zonal GC equations adopted from literature.
NOTE: The following link is to an external website, NTA has no control nor responsibility for its content.
Estimating values of time from revealed preference data – European Transport Conference 2021
by James Fox, RAND Europe
Peadar Ó Súilleabháin, Irish National Transport Authority
William Brazil, Irish National Transport Authority and Trinity College Dublin
Values of time (VOTs), i.e. the trade-off ratios between travel time and travel cost, play a key role in the modelling and appraisal of transport schemes and policies.
As Hess et al. (2020) note, while the early VOT studies in the 1960s and 1970s were based on revealed preference (RP) data capturing mode choices observed in the real world, current standard practice in Northern Europe (including the UK) is for the analysis of simple time-cost trade-offs collected using stated preference (SP) data.
Forecasting the impact of the Planning, Land Use and Transport Outlook (PLUTO) Project – a 2040 Ireland case study
by Páraic Carroll and Peter O’Sullivan
of the School of Civil Engineering, University College Dublin, Dublin, Ireland
and National Transport Authority, Dublin, Ireland
In February 2018 the Irish Government unveiled a new National Planning Framework (NPF), which underpinned ‘Project Ireland 2040’ – a national development and capital investment plan to the year 2040. The chief aim of which is to mandate and direct planning and infrastructure investment decision making over coming two decades in order to cater for projected population growth of one million people in a balanced and sustainable manner.
NOTE: The following link is to an external website, NTA has no control nor responsibility for its content.
Forecasting the impact of the Planning, Land Use and Transport Outlook (PLUTO) Project – a 2040 Ireland case study
STAR 2022
Modelling future cycle behaviour changes: Application to transport strategies
by Benjamin Loreille and Neil Raha, SYSTRA Limited, Ireland & UK
Climate Action Plan: Phase 3 Modelling Executive Summary
by National Transport Authority, SYSTRA Limited, and Jacobs
This report provides an overview of the transport modelling undertaken to support/inform the deliberations in the development of the Climate Action Plan 2023.
Note: The modelling assumptions and measures described within this text are not agreed policy measures. While the modelling provides a high degree of specificity in terms of the impacts from a carbon emissions perspective, it does not provide detailed design of the specific interventions or policies involved.
CAP23 includes further actions in respect of progressing detailed policy development and scheme design.
Revealed Preference Mode and Destination Choice Modelling: A Comparison of Household Survey and Census Estimations
UTSG July 2023
Cardiff University
Brazil, O’Súilleabhán, Colleary, Carroll, Nott, &Fox
Mode and Destination Choice Modelling
This paper outlines the estimation of model parameters, based upon the use of revealed preference observations from both the census derived POWSCAR dataset and the Authority’s National Household Travel Survey (NHTS), for the Eastern Region of Ireland.
We provide a comparison of model parameters estimated from travel survey and census data, across four commuting segments, highlighting the similarities and differences between the respective estimated parameters.
Irish Car Availability Logit Modelling
by William Brazil (NTA & TCD), James Fox (Jacobs), and Wen Zhang (NTA)
The estimation of a binary logit model predicting trip-level car availability based on trip purpose, area type, and car ownership
31st August & 1st September, 2023
ATU Sligo
An investigation of the impact of scenarios where the propensity to cycle is equal to the propensity to walk
Using the Regional Modelling System to examine the long-term reduction in commuting emissions from working from home via reductions in trip rates
* Agnieszka Stefaniec – Trinity College Dublin & Södertörn University, Stockholm, Sweden
* William Brazil – National Transport Authority of Ireland & Trinity College Dublin
* Warren Whitney – National Transport Authority of Ireland & Trinity College Dublin
* Wen Zhang – National Transport Authority of Ireland
* Barry Colleary – National Transport Authority of Ireland
* Brian Caulfield – Trinity College Dublin
Examining the long-term reduction in commuting emissions from working from home – ScienceDirect
Estimation of Bus-to-Bus Interchange Penalties in an Irish Context
by Meskell, Brazil, and Whitney UTSG 2024
Estimation of Bus-to-Bus Interchange Penalties in an Irish Context
by
* Mr Brendan Meskell, Transport Modeller, National Transport Authority
* Dr William Brazil, Transport Modeller/ Adj. Assistant Professor, National Transport Authority/ Trinity College Dublin
* Dr Warren Whitney, Transport Modeller, National Transport Authority
This paper presents the results of research undertaken to quantify a time-equivalent transfer penalty for bus-to-bus interchanges in the Greater Dublin Area.
Modelling Rates of Bicycle Ownership
by Brazil UTSG 2024
* Dr William Brazil
* Transport Modeller/Adjunct Assistant Professor
* National Transport Authority/Trinity College Dublin
Bicycle ownership is an often overlooked aspect of transport modelling, and transport planning in general. While many, if not most, strategic transport models have well established sub-models to estimate access to private cars, there is an implicit assumption that all trip makers can consider cycling if the network is of a suitable quality.
Background to the Survey
Overseen by the NTA’s Peter O’Sullivan
Between October and December 2016, the NTA, in conjunction with Kantar Millward Brown (KMB) undertook a survey of Luas passengers at two specific Luas stops. The main purpose of the survey was to obtain essential information about Luas passengers travelling to and from the Stillorgan and Red Cow Luas stops. The survey focused mainly on obtaining quantitative Origin / Destination address information from Park & Ride Luas passengers, and hence included questions on the patterns of travel, arrival and departure times and parking arrangements. As this was the first time the study was to be carried out, an agreement was made between the NTA and Kantar Millward Brown that the survey would be initially carried out as a pilot, with a view to informing possible future surveys on a larger scale in 2017.
The pilot survey was undertaken with the full co-operation and involvement of both the NTA and Kantar Millward Brown in terms of preparations for the survey, the design of the survey questionnaire and the survey pilot. In addition, Transdev provided the necessary permissions to enable Kantar Millward Brown surveyors to interview on either the Stillorgan or Red Cow Luas platforms.
Aims and Objectives
As aforementioned, the main aim of the pilot survey was to obtain quantitative Origin / Destination (O – D) address information from Park & Ride Luas passengers. This data would enable the Authority to use the data to better calibrate Park & Ride modules within its regional (computer) models. In addition, the survey would provide quantitative data on refusal rates as a function of: time of day, day of week, gender, station location and boarding versus alighting passengers. To achieve this, the NTA drew up a detailed survey brief and agreed this in consultation with Kantar Millward Brown. The brief included a number of specific objectives – including:
- to survey a good representative sample of Park & Ride Luas passengers travelling to and from the Stillorgan & Red Cow Luas stop over the working week
- to obtain a survey sample with a mix of both boarding and alighting Luas passengers
- to capture information on survey refusals, recording the respondents’ demographics as well as the day, date and time of the interview and whether the respondent was boarding or alighting the Luas tram
- to record those non Park & Ride Luas passengers, but not count them towards the main survey sample
