prof.dr. R.V. Sliuzas (Richard)

My work focuses on how urban planning can contribute to disaster risk reduction. My educational background combines knowledge of town planning (BSc, UniSA, Australia), urban surveys and human settlement analysis (MSc, ITC, Netherlands) and geographical sciences (PhD Utrecht University, Netherlands). Much of my career has been devoted to research, education and capacity building on urban planning in the majority world, with a specific focus on mapping and modelling informal urban development to improve the quality of life of their residents. Since 2010 the focus has broadened to include work on urban planning for disaster risk reduction.

Earth & Environmental Sciences

# City
# Household
# Informal Settlement
# Policy
# Urban Growth

Social Sciences

# Natural Disaster
# Resettlement
# Slum

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Urban and Regional Planning and Geo-Information Management (PGM)

Abdelkader, M. (2023). Analyzing and managing human settlement growth in the Nile Valley, Egypt. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036556576

Chereni, S. , Sliuzas, R. , Flacke, J. , & van Maarseveen, M. (2023). Factors influencing flood-related coping appraisal Among homeowners and residents in Kampala, Uganda. In T. Thaler, T. Hartmann, L. Slavíková, & B. Tempels (Eds.), Homeowners and the Resilient City: Climate-Driven Natural Hazards and Private Land (pp. 127-178). Springer Nature. https://doi.org/10.1007/978-3-031-17763-7_7

Christ, S. , Schwarz, N. , & Sliuzas, R. (2023). Understanding residential choice under risk: A case study of settlement fire and wildfire risk. Habitat International, 136, Article 102815. https://doi.org/10.1016/j.habitatint.2023.102815

Kabiru, P. , Kuffer, M. , Sliuzas, R., & Vanhuysse, S. (2023). The relationship between multiple hazards and deprivation using open geospatial data and machine learning. Natural hazards, 119(2), 907-941. https://doi.org/10.1007/s11069-023-05897-z

Nikuze, A. (2022). Urban displacement and resettlement: Towards facilitation stakeholder participation. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036554596

Veeravalli, S. G. , Chereni, S. , Sliuzas, R. V. , Flacke, J. , & van Maarseveen, M. (2022). Factors influencing flood damage mitigation among micro and small businesses in Kampala, Uganda. International journal of disaster risk reduction, 82, Article 103315. https://doi.org/10.1016/j.ijdrr.2022.103315

Esmaiel, A., Abdrabo, K. I., Saber, M. , Sliuzas, R. V. , Atun, F., Kantoush, S. A., & Sumi, T. (2022). Integration of flood risk assessment and spatial planning for disaster management in Egypt. Progress in Disaster Science, 15, Article 100245. https://doi.org/10.1016/j.pdisas.2022.100245

Kuffer, M. , Owusu, M. , Oliveira, L. , Sliuzas, R., & Rijn, F. V. (2022). The missing millions in maps: Exploring causes of uncertainties in global gridded population datasets. ISPRS international journal of geo-information, 11(7), 1-18. Article 403. https://doi.org/10.3390/ijgi11070403

Chereni, S. (2022). Understanding flood risk perceptions and motivations for damage mitigation: The case of Kampala, Uganda. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036553896

Abascal, A., Rodríguez-Carreño, I., Vanhuysse, S., Georganos, S. , Sliuzas, R., Wolff, E. , & Kuffer, M. (2022). Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas. Computers, environment and urban systems, 95, 1-20. Article 101820. https://doi.org/10.1016/j.compenvurbsys.2022.101820

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