Research Interests

  • Urban land use change/planning simulation.
  • Spatial decision/planning support systems (SDSS/ SPSS).
  • Collective-interactive decision-making and game theory.
  • Agent-based modelling.

Education

PhD in Geographical information science (GIS) K.N.Toosi University of Technology, Tehran and Humboldt-Universität zu Berlin 2016 - 2022
Master in Geographical information science (GIS) K.N.Toosi University of Technology, Tehran, Iran 2011 - 2014
Bachelor in Geodesy and Geomatics engineering Taftesh Univercity, Tafresh, Iran 2005 - 2009

Work Experience

Data Manager (part-time), Multitiv GmbH, Berlin, Germany 01.2023 - 01.2024
Data Analyst (part-time), Smart Soil Technologies, Berlin, Germany 01.2022 - 12.2023
Guest Researcher, Applied Geoinformation Science Lab, the Geography Department, Humboldt-Universität zu Berlin 2019 - 2023

Teaching Activities (Selected)

ArcGIS & CityEngine, K.N.Toosi University of Technology, Tehran, Iran 2016 - 2017
Cartography operation, K.N.Toosi University of Technology, Tehran, Iran 2017
Urban land-use planning, Golestan University, Gorgan, Iran 2014
Computer Programming (MATLAB), Golestan University, Gorgan, Iran 2014
Image processing, Lamei gorgani non-profit institution of higher education, Gorgan, Iran 2013
Satellite geodesy, Lamei gorgani non-profit institution of higher education, Gorgan, Iran 2013

Awards

Fellowship for a research stay regarding the initiation for international collaboration, Humboldt-Universität zu Berlin, funded by Deutsche Forschungsgemeinschaft (DFG) 2020
Scholarship for an abroad research program, Humboldt-Universität zu Berlin, funded by Ministry of Science of Iran 2019

Publications

Abolhasani, S., Taleai, M. and Lakes, T. 2022. Developing a game-theoretic interactive decision-making framework for urban land-use planning. Habitat International, 141, 102930. https://doi.org/10.1016/j.habitatint.2023.102930

Abolhasani, S., Taleai, M. and Lakes, T. 2022. A collective decision-making framework for simulating urban land-use planning: An application of game theory with event-driven actors. Computers, Environment and Urban Systems, 94, 101795. https://doi.org/10.1016/j.compenvurbsys.2022.101795

Sadooghi, S. E., Taleai, M. and Abolhasani, S. 2022. Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory. Land Use Policy, 120, 106267. doi.org/10.1016/j.landusepol.2022.106267

Abolhasani, S. and Taleai, M. 2020. Assessing the effect of temporal dynamics on urban growth simulation: Towards an asynchronous cellular automata. Transactions in GIS, 24(2), 332-354. https://doi.org/10.1111/tgis.12601

Abolhassani, A., Taleai, M., Karimi, M. and Rezaee Node, A. 2016. Simulating urban growth under planning policies through parcel-based cellular automata (ParCA) model. International Journal of Geographical Information Science, 30(11), 2276-2301. https://doi.org/10.1080/13658816.2016.1184271

Sadooghi, E., Taleai, M., Abolhasani, S. 2020. Integration of cellular automata model and game theory to evaluate urban development scenarios. Journal of Geomatics Science and Technology, 10(1): 65-82.

Ghazi Mirsaeed, S.M., Taleai, M., Mohammadi, M., Abolhasani, S. 2019. Scenario making for land subdivision in the urban development process; case study: marginal area of semnan". Human Geography Research, 51(3), pp. 625-652. doi: 10.22059/jhgr.2018.238968.1007514.

Abolhasani, S., Karimi, M., Taleai, M. 2015. Modeling index of land-use suitability based on vector-based cellular automata by focusing on neighborhood effect and its application to simulate land use changes. Journal of Geomatics Science and Technology, 5 (1), 25−42.

Abolhasani, s., Taleai, M., Karimi, M. 2015. Modeling urban growth through vector-based cellular automata at parcel level." The Journal of Spatial Planning, 19 (3), 199−232.

Abolhasani, S., Karimi, M., Taleai, M. 2014. Assessing the neighbourhood effects and suitability at the fine resolution. First National Conference of Geography, Urban planning and sustainable development. Tehran, Iran.

Projects