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Dr Marcus Young BSc, MSc, PhD, FRGS

Research Fellow in GIS and Transport Engineering Data

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Marcus Young is Research Fellow in GIS and Transport Engineering Data within Engineering and Physical Sciences at the University of Southampton.

I am currently part of the Track to the Future project which is helping to improve the performance and reduce the costs of Britain’s rail network. I am primarily working on the development of whole life cost and carbon modelling tools, utilising GIS to integrate and process a wide range of datasets to provide inputs to track system models.

I am also working on an impact acceleration project to implement an automated station demand forecasting model (developed during my PhD) on the Data Analytics Facility for National Infrastructure (DAFNI). This is one of four initial pilot projects selected to run alongside development of the core DAFNI platform.

I first joined the Transportation Research Group in 2014 to study for a PhD. My research focussed on developing improved aggregate models to forecast demand for new local railway stations by incorporating probabilistic station catchments defined using station choice models. The potential of the models I developed to produce more robust station demand forecasts has been recognised by transport practitioners at the national level, with work completed for the Welsh Government to assess the expected demand at 12 proposed new station locations.

Prior to beginning my PhD, I had a successful career in information technology and worked as a Computer Officer at the University of Cambridge for 11 years. I obtained an MSc in Geographic Information Systems from Ulster University in 2010 and my research project won the part-time student award for “Outstanding Contribution to GIS”.

Research interests

My broad research interest is in the application of spatial analysis and data analytics methods and techniques to investigate issues relating to transportation, primarily focussing on public transportation and non-motorised modes. I specialise in the use of open source tools, in particular R and PostgreSQL/PostGIS.

Research Projects

Track to the Future

Research group

Transportation Group

Research project(s)

An Automated Demand Forecasting Model For New Local Railway Stations

The key objective of this project is to develop a software tool capable of providing forecasts of the demand impacts of new railway stations sited at any location in Great Britain.

Rail Capacity and Demand

Research work in rail capacity at Southampton was initiated with the OCCASION project (2010-2012), followed-up with a Knowledge Transfer Secondment with Arup (2013-14) and continues with the DITTO project (2014-2017). Research work on rail demand forecasting at Southampton was initiated with Rail Research UK (2003-2010) and has continued with a series of grants, contracts and consultancy studies.

Solent Future Transport Zone

The Solent FTZ is a multidisciplinary research and development project undertaken in collaboration with the University of Portsmouth and Solent Transport, comprising Southampton City Council, Portsmouth City Council, Isle of Wight Council, and Hampshire County Council. Theme 1 on passenger mobility is led by Professor John Preston and Theme 2 on Sustainable Urban Freight is led by Professor Tom Cherrett.

UKCRIC Strand C: Data Analytics Facility for National Infrastructure

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I have worked as a casual e-tutor and lecturer on the PgDip/MSc in Geographical Information Systems at the University of Ulster since 2010, and am involved with the following modules:

EGM715 – Web-based GIS

EGM717 – GIS Databases

I also develop learning materials, tutorials and take part in workshops, primarily related to use of open source GIS and data analysis tools. Some examples are:

The Station Demand Forecasting Tool (SDFT)

The Station Demand Forecasting Tool - an open source automated tool to forecast demand for new local railway stations in Great Britain

The otpr R package. A simple R wrapper for the Open Trip Planner (OTP) API

Dr Marcus Young
Engineering, University of Southampton, Southampton Boldrewood Innovation Campus, Burgess Road, Southampton, SO16 7QF

Room Number : 176/4001

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