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Hyesop Shin

Hyesop Shin

Ph.D Student

Hyesop is a quantitative geographer interested in agent-based modelling to understand uncertainty and emergence in social phenomenon. His particular interest lies on how air pollution and urbanisation can make people and communities physically and socioeconomically vulnerable.



  • 2016-present: Ph.D student in Geography, University of Cambridge, UK
  • 2014-2017: Research Assistant, The Institute for Korean Regional Studies, Seoul National University, Seoul, South Korea
  • 2014-2015: GIS analyst, Geo C&I Co., Daegu, South Korea
  • 2013-2014: Research Assistant, Asia Center, Seoul National University, Seoul, South Korea


  • 2016-present: Ph.D student in Geography, University of Cambridge
  • 2014: M.A in Geography, Seoul National University. Thesis: An Agent-based Approach for Modelling Spatial Transmission Processes of Foot-and-mouth Disease in Korea 2010-11
  • 2012: B.A in Geography, Kyungpook National University. Thesis: Development of an Airport Choice Model: Determining Location for a New Airport in the South-eastern Region of South Korea


Assessing Health Vulnerability to Air Pollution in Megacities using Agent-based Modelling

My PhD research aims to estimate the potential health vulnerability to air pollution in megacities, particularly in Seoul. Since Seoul is one of the densest cities in the world, citizens are more likely to be exposed to a large amounts of pollutants generated from industrial sites, vehicle emission, and harmful substances flowing from other areas, which in turn can cause lung and cardiovascular disorders. My other concern is how individual activities and their socioeconomic status can be affected by pollution exposure. For instance, residents near pollutant areas are more likely to be affected and also socially deprived.

With Agent-based modelling (ABM) and dispersal models, my first step is to examine the spatial and temporal effects of urban air pollution that could affect population health. Subsequently, I will develop scenario models in order to estimate population level health change as well as environmental impacts.


Peer-reviewed articles

  • S.Kim, S.Yi, Y.Eum, H.Choi, H.Shin, H.Ryou, H.Kim, Ordinary kriging approach to predicting long-term particulate matter concentrations in seven major Korean cities, Environmental health and toxicology, 2014
  • H.Shin, M.Bithell, An Agent-based Assessment of Health Vulnerability to Long-term particulate exposure in Seoul Districts, Social Simulation Conference 2017 Proceeding Paper, 2017

Conference contributions

  • H.Shin, M.Bithell, Integrating OD matrices of travel patterns and pollution exposure by socioeconomic characters using an agent-based model, Social Simulation Conference 2018, KTH Stockholm, Sweden,
  • H.Shin, M.Bithell, Big Data in Medicine: Tools, Transformation and Translation, 'Calibrating Agent-based Exposure Simulation
    to Clinical Records', July 2017, Cambridge, UK,
  • H.Shin, W.Shim, S.J.Park, 33rd International Geographical Congress, 'Defining Korean Mountainous areas on the basis of agent-based modelling', August 2016, Beijing, China
  • H.Shin, S.Park, 2016 Americans Association of Geographers, 'Discovering the determinants and transmission path of MERS-CoV: an agent-based approach', April 2016, San Francisco, USA
  • H.Shin et al., 2014 Annual Meeting of Korean Geographers, 'The Spatial Distributions and Environmental Conditions of Periphyton in freshwater ecosystems, Nakdong river South Korea, Seoul National University, Seoul, South Korea
  • S.Kim, Y.Eum, H.Shin, 2014 Spring Conference of The Korean Society of Environmental Health and Toxicology, 'Integrating Spatial Data from Different Sources into a Unified Database System for Developing Air pollution Exposure Prediction Models', Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea
  • H.Shin, S.J.Park, 2014 Winter Conference of Korean Regional Geography, 'Agent-based model to identify FMD diffusion patterns',Chungbuk National University, Cheongju, South Korea
  • H.Shin, 2013 Annual meeting of Associations of American Geographers, Development of an Airport Choice Model: Determining Location for a New Airport in the South-eastern Region of South Korea, LA, USA

External activities