Travel Demand Modelling

RAND Europe has contributed to the development and testing of new approaches in modelling demand for travel for over 25 years. Our work applies discrete choice models using observations of individual travel behaviour.

Our transport models contain substantial detail about traveller behaviour by person and household type. Many of these characteristics strongly influence travel behaviour and are therefore essential when exploring future travel demand. Our models also reflect travel across many modes, for many purposes and reflect many possible behavioural responses, such as changing mode, destination, frequency of time of travel, as well as car ownership.

Related: More on Transport Research

Featured Research

  • Developing a New National Transport Model for the UK

    At the request of the Department for Transport, RAND Europe and Atkins are updating the UK's national transport model using current datasets. The project team may also suggest further enhancements to improve the forecasting functionality and/or consistency of the model.

Selected Research

  • Quantifying Travellers’ Willingness to Pay for a Tolled Tunnel in Central Copenhagen

    16 Jun 2017

    Stated choice experiments will help researchers quantify the willingness of car and van travellers to pay to use a proposed new tunnel to cross to and from Amager in central Copenhagen. The results from this study will infom the Danish Road Directorate's proposed new infrastructure.

  • Developing a New Transport Demand Model for the London Area

    08 May 2017

    As part of a larger project for TfL, RAND Europe is developing individual-level models capable of predicting levels of transport demand in response to a range of different policy options and in light of demographic changes.

  • Understanding the Demand for Rail Travel in the UK

    27 Apr 2017

    An analysis of the National Travel Survey allowed researchers to quantify the impact of external socio-economic factors on rail demand. Application of the improved models for forecasting purposes requires the collation of socio-economic and demographic forecast data at an appropriately granular level.

  • Would the EU Benefit from Common Liability Rules for Autonomous Vehicles?

    14 Jun 2016

    Researchers are exploring potential impacts of AVs on European car manufacturers, the insurance industry, connected industries and markets, and those who provide public provision of services and supervise compliance.

  • Updating the UK National Car Ownership Model

    03 Nov 2015

    The current UK car ownership model is known to over-predict car ownership in dense urban areas, particularly London. In re-estimating the UK's current car ownership models using more recent data, researchers aim to make improvements to the model specifications.

  • Exploring the Future of Driving in Developing Countries

    15 Oct 2015

    The level of automobility, or travel in personal vehicles, varies among countries. By determining the factors besides economic development that have affected automobility in developed countries, researchers can predict how automobility might evolve in developing countries such as Brazil, Russia, India, and China.

  • Developing a New Transport Model for South East Wales

    13 Oct 2015

    RAND Europe researchers are developing models capable of predicting levels of transport demand in South East Wales in response to a range of different policy options and in light of demographic changes.

  • Examining the Feasibility of Time-of-Day Tolls to Reduce Congestion

    19 Jun 2015

    To reduce traffic along a heavily congested Texas toll road, researchers used stated preference surveys and discrete choice models to understand how motorists will respond to alternative time-of-day pricing policies.