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School of Geography

Eusebio Odiari Eusebio Odiari

Contact details

Room Consumer Data Research Centre, Leeds Institute for Data Analytics,
School of Geography
University of Leeds
University Road
Leeds LS2 9JT   UK


+44 (0) 113 34 30937

Project title

Urban Mobility and Movement Patterns

Project overview

Supervised by Professor Mark BirkinProfessor Susan Grant-Muller and Dr Nick Malleson in the Faculty of the Environment, this project will use consumer data sources to focus on the critical interrelationships between time and space, and how this impacts on the local movements of people. Through a combination of big data analysis and advanced geographical modelling it will, for the first time, create a highly detailed picture of patterns of consumer behaviour that will be extremely relevant for businesses, academia and wider society.


The aim of the project will be to determine for the first time, robust rules governing movement patterns of people within cities and regions, using data available within the railway transportation sector, to construct an understanding of passenger numbers and journeys, and uncover operational efficiencies to aid sustainability.

The project will review modelling tools and develop new analytical methods for the understanding, simulation and prediction of individual movement patterns, considering frameworks relating population mobility to demographic characteristics, household composition, relative location, time of the day, and other likely drivers of behaviour and interaction.


University of Leeds 110 Anniversary Research Scholarship

Association of Train Operating Companies (ATOC), UK

Awards / Grants / Prizes

Foreign and Commonwealth Office Scholar

Shell International Scholar & University of London Edmund Davis Scholar

Short Curriculum Vitae

Summary of Qualifications

  • MSc. (D.I.C.) Advanced Mechanical Engineering (Imperial College, London)
  • MSc. Geographical Information Management (Cranfield University)

Publications and Thesis

Odiari, E.A. (2010). "The use of Building Information Modelling for GIS". MSc. Degree Project Thesis, Cranfield University, Bedfordshire, UK.