Dr. Judith Verstegen

Vening Meineszgebouw A
Princetonlaan 8a
Kamer 6.44
3584 CB Utrecht

Dr. Judith Verstegen

Universitair docent
Urban Geography
030 253 1368
j.a.verstegen@uu.nl

Publicaties

2024

Wetenschappelijke publicaties

de Mooij, J., Sonnenschein, T., Pellegrino, M., Dastani, M., Ettema, D., Logan, B., & Verstegen, J. A. (2024). GenSynthPop: generating a spatially explicit synthetic population of individuals and households from aggregated data. Autonomous Agents and Multi-Agent Systems, 38(2), Article 48. https://doi.org/10.1007/s10458-024-09680-7
Scheider, S., & Verstegen, J. (2024). What is a spatio-temporal model good for? Validity as a function of purpose and the questions answered by a model. Leibniz International Proceedings in Informatics, LIPIcs, 315, 7:1-7:23. https://doi.org/10.4230/LIPIcs.COSIT.2024.7
Karic, B., Stenkamp, J., Brüggemann, M., Schröder, S., Kray, C., & Verstegen, J. (2024). Collecting Data in an Immersive Video Environment to Set up an Agent-Based Model of Pedestrians’ Compliance with COVID-Related Interventions. Journal of Artificial Societies and Social Simulation, 27(2), Article 5. https://doi.org/10.18564/jasss.5340
https://dspace.library.uu.nl/bitstream/handle/1874/437748/5.pdf?sequence=1

2023

Wetenschappelijke publicaties

Pellegrino, M., de Mooij, J., Sonnenschein, T., Dastani, M., Ettema, D., Logan, B., & Verstegen, J. A. (2023). GenSynthPop: Generating a Spatially Explicit Synthetic Population of Agents and Households from Aggregated Data. (pp. 1-19). Research Square. https://doi.org/10.21203/rs.3.rs-3405645/v1
Verstegen, J. A., & Rorato, A. C. (2023). Mining requests in Brazil’s Indigenous Lands finally removed, but the battle continues. Environmental Research Letters, 18(10), Article 101003. https://doi.org/10.1088/1748-9326/acf9b7
Hildemann, M. J., Murray, A. T., & Verstegen, J. A. (2023). Genetic Programming for Computationally Efficient Land Use Allocation Optimization. In R. Beecham, J. A. Long, D. Smith, Q. Zhao, & S. Wise (Eds.), 12th International Conference on Geographic Information Science (GIScience 2023) Article 4 (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 277). Dagstuhl Publishing. https://doi.org/10.4230/LIPICS.GISCIENCE.2023.4
https://dspace.library.uu.nl/bitstream/handle/1874/436314/LIPIcs.GIScience.2023.4.pdf?sequence=1
Verstegen, J., & Scheider, S. (2023). Why the term prediction is overused. In Spatial Data Science Symposium 2023 Short Paper Proceedings UC Santa Barbara: Center for Spatial Studies. https://doi.org/10.25436/E2MK55
https://dspace.library.uu.nl/bitstream/handle/1874/432687/eScholarship_UC_item_0sx1c9wg.pdf?sequence=1
Scheider, S., Bartholomeus, H., & Verstegen, J. (2023). ChatGPT is not a pocket calculator: Problems of AI-chatbots for teaching Geography. arXiv. https://doi.org/10.48550/arXiv.2307.03196
Hildemann, M., Pebesma, E., & Verstegen, J. A. (2023). Multi-objective Allocation Optimization of Soil Conservation Measures Under Data Uncertainty. Environmental Management, 72(5), 959–97. https://doi.org/10.1007/s00267-023-01837-6
Stenkamp, J., Karic, B., Scharf, P., Verstegen, J. A., & Kray, C. (2023). Using an Immersive Video Environment to Assess Pedestrians’ Compliance With COVID Distance Keeping Interventions. Interacting with Computers, 35(5), 628–636. https://doi.org/10.1093/iwc/iwad021
Hildemann, M., & Verstegen, J. A. (2023). 3D-flight route optimization for air-taxis in urban areas with Evolutionary Algorithms and GIS. Journal of Air Transport Management, 107, 1-13. Article 102356. https://doi.org/10.1016/j.jairtraman.2022.102356

2022

Wetenschappelijke publicaties

Janowicz, K., Zhu, R., Verstegen, J., Mckenzie, G., Martins, B., & Cai, L. (2022). Six GIScience Ideas That Must Die. AGILE: GIScience Series, 3, 1-8. Article 7. https://doi.org/10.5194/agile-giss-3-7-2022
Verstegen, J. A., & Goch, K. (2022). Pattern-oriented calibration and validation of urban growth models: Case studies of Dublin, Milan and Warsaw. Land Use Policy, 112, Article 105831. https://doi.org/10.1016/j.landusepol.2021.105831
Rorato, A. C., Escada, M. I. S., Camara, G., Picoli, M. C. A., & Verstegen, J. A. (2022). Environmental vulnerability assessment of Brazilian Amazon Indigenous Lands. Environmental Science and Policy, 129, 19-36. https://doi.org/10.1016/j.envsci.2021.12.005
Filomena, G., Kirsch, L., Schwering, A., & Verstegen, J. A. (2022). Empirical characterisation of agents’ spatial behaviour in pedestrian movement simulation. Journal of Environmental Psychology, 82, Article 101807. https://doi.org/10.1016/j.jenvp.2022.101807

2021

Wetenschappelijke publicaties

Filomena, G., & Verstegen, J. A. (2021). Modelling the effect of landmarks on pedestrian dynamics in urban environments. Computers, Environment and Urban Systems, 86, Article 101573. https://doi.org/10.1016/j.compenvurbsys.2020.101573
Rorato, A. C., Picoli, M. C. A., Verstegen, J. A., Camara, G., Silva bezerra, F. G., & Escada, M. I. S. (2021). Environmental Threats over Amazonian Indigenous Lands. Land, 10(3), Article 267. https://doi.org/10.3390/land10030267
Janowicz, K., & Verstegen, J. (2021). 11th International Conference on Geographic Information Science (GIScience 2021) - Part II. Leibniz International Proceedings in Informatics (LIPIcs). https://doi.org/10.4230/LIPIcs.GIScience.2021.II
Ruijsch, J., Verstegen, J. A., Sutanudjaja, E. H., & Karssenberg, D. (2021). Systemic change in the Rhine-Meuse basin: Quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model. Advances in Water Resources, 155, 1-15. Article 104013. https://doi.org/10.1016/j.advwatres.2021.104013
Hildemann, M., & Verstegen, J. A. (2021). Quantifying uncertainty in Pareto fronts arising from spatial data. Environmental Modelling and Software, 141, 1-12. Article 105069. https://doi.org/10.1016/j.envsoft.2021.105069

2020

Wetenschappelijke publicaties

Stepanov, O., Câmara, G., & Verstegen, J. A. (2020). Quantifying the Effect of Land Use Change Model Coupling. Land, 9(2), Article 52. https://doi.org/10.3390/land9020052
Rorato, A. C., Camara, G., Escada, M. I. S., Picoli, M. C. A., Moreira, T., & Verstegen, J. A. (2020). Brazilian amazon indigenous peoples threatened by mining bill. Environmental Research Letters, 15(10), Article 1040a3. https://doi.org/10.1088/1748-9326/abb428
Verstegen, J. (2020). The local versus global food debate. Nature Food, 1, 198-199. https://doi.org/10.1038/s43016-020-0062-5
Janowicz, K., & Verstegen, J. (2020). 11th International Conference on Geographic Information Science (GIScience 2021) -Part I. Leibniz International Proceedings in Informatics (LIPIcs). https://doi.org/10.4230/LIPIcs.GIScience.2021.I
Filomena, G., Manley, E., & Verstegen, J. A. (2020). Perception of urban subdivisions in pedestrian movement simulation. PLoS One, 15(12), Article e0244099. https://doi.org/10.1371/journal.pone.0244099
Watson, L., Straatsma, M. W., Wanders, N., Verstegen, J. A., De Jong, S. M., & Karssenberg, D. (2020). Global ecosystem service values in climate class transitions. Environmental Research Letters, 15(2), Article 024008. https://doi.org/10.1088/1748-9326/ab5aab

2019

Wetenschappelijke publicaties

Filomena, G., Verstegen, J. A., & Manley, E. (2019). A computational approach to ‘The Image of the City’. Cities, 89, 14-25. https://doi.org/10.1016/j.cities.2019.01.006
Filomena, G., Manley, E., & Verstegen, J. A. (2019). Route choice through regions by pedestrian agents. In S. Timpf, C. Schlieder, M. Kattenbeck, B. Ludwig, & K. Stewart (Eds.), 14th International Conference on Spatial Information Theory, COSIT 2019 (Vol. 142). Article 5 (LIPIcs - Leibniz International Proceedings in Informatics; Vol. 142). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.COSIT.2019.5
Moncada, J. A., Verstegen, J. A., Posada, J. A., Junginger, M., Lukszo, Z., Faaij, A., & Weijnen, M. (2019). Exploring the emergence of a biojet fuel supply chain in Brazil: An agent-based modeling approach. GCB Bioenergy, 11(6), 773-790. https://doi.org/10.1111/gcbb.12594
Verstegen, J. A., van der Laan, C., Dekker, S. C., Faaij, A. P. C., & Santos, M. J. (2019). Recent and projected impacts of land use and land cover changes on carbon stocks and biodiversity in East Kalimantan, Indonesia. Ecological Indicators, 103, 563-575. https://doi.org/10.1016/j.ecolind.2019.04.053

2018

Wetenschappelijke publicaties

Moncada, J. A., Verstegen, J. A., Posada, J. A., Junginger, M., Lukszo, Z., Faaij, A., & Weijnen, M. (2018). Exploring policy options to spur the expansion of ethanol production and consumption in Brazil: An agent-based modeling approach. Energy Policy, 123, 619-641. https://doi.org/10.1016/j.enpol.2018.09.015
van der Laan, C., Budiman, A., Verstegen, J. A., Dekker, S. C., Effendy, W., Faaij, A. P. C., Kusuma, A. D., & Verweij, P. A. (2018). Analyses of land cover change trajectories leading to tropical forest loss: Illustrated for the West Kutai and MahakamUlu Districts, East Kalimantan, Indonesia. Land, 7(3), Article 108. https://doi.org/10.3390/land7030108
van der Hilst, F., Verstegen, J. A., Woltjer, G., Smeets, E. M. W., & Faaij, A. P. C. (2018). Mapping land use changes resulting from biofuel production and the effect of mitigation measures. GCB Bioenergy, 10(11), 804-824. https://doi.org/10.1111/gcbb.12534

2017

Wetenschappelijke publicaties

Verstegen, J. A., Jonker, J. G. G., Karssenberg, D., van der Hilst, F., Schmitz, O., de Jong, S. M., & Faaij, A. P. C. (2017). How a Pareto frontier complements scenario projections in land use change impact assessment. Environmental Modelling and Software, 97, 287-302. https://doi.org/10.1016/j.envsoft.2017.08.006
Duden, A. S., Verweij, P. A., Junginger, H. M., Abt, R. C., Henderson, J. D., Dale, V. H., Kline, K. L., Karssenberg, D., Verstegen, J. A., Faaij, A. P. C., & van der Hilst, F. (2017). Modeling the impacts of wood pellet demand on forest dynamics in southeastern United States. Biofuels, Bioproducts and Biorefining, 11(6), 1007-1029. https://doi.org/10.1002/bbb.1803

2016

Wetenschappelijke publicaties

Goh, C. S., Wicke, B., Verstegen, J., Faaij, A., & Junginger, M. (2016). Linking carbon stock change from land-use change to consumption of agricultural products: A review with Indonesian palm oil as a case study. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2016.08.055
Verstegen, J. A., Karssenberg, D., van der Hilst, F., & Faaij, A. P. C. (2016). Detecting systemic change in a land use system by Bayesian data assimilation. Environmental Modelling and Software, 75, 424-438. https://doi.org/10.1016/j.envsoft.2015.02.013
Jonker, J. G. G., Junginger, H. M., Verstegen, J. A., Lin, T., Rodríguez, L. F., Ting, K. C., Faaij, A. P. C., & van der Hilst, F. (2016). Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil. Applied Energy, 173, 494-510. https://doi.org/10.1016/j.apenergy.2016.04.069
Verstegen, J. A. (2016). Quantifying and reducing uncertainty in land use change model projections: Case studies on the implications of increasing bioenergy demands. [Doctoral thesis 1 (Research UU / Graduation UU), Universiteit Utrecht]. Utrecht University.
https://dspace.library.uu.nl/bitstream/handle/1874/327655/verstegen.pdf?sequence=1
Verstegen, J. A., van der Hilst, F., Woltjer, G., Karssenberg, D., de Jong, S. M., & Faaij, A. P. C. (2016). What can and can't we say about indirect land-use change in Brazil using an integrated economic - land-use change model? GCB Bioenergy [E], 8(3), 561-578. https://doi.org/10.1111/gcbb.12270

2015

Wetenschappelijke publicaties

Wicke, B., van der Hilst, F., Daioglou, V., Banse, M., Beringer, T., Gerssen - Gondelach, S., Heijnen, S., Karssenberg, D., Laborde, D., Lippe, M., van Meijl, H., Nassar, A., Powell, J., Prins, A. G., Rose, S. N. K., Smeets, E. M. W., Stehfest, E., Tyner, W. E., Verstegen, J. A., ... Faaij, A. P. C. (2015). Model collaboration for the improved assessment of biomass supply, demand, and impacts. GCB Bioenergy [E], 7(3), 422-437. https://doi.org/10.1111/gcbb.12176

Overige resultaten

Verstegen, J. A., van der Hilst, F., & Karssenberg, D. J. (2015). A framework to assess model structure stationarity. 42-45. Abstract from the 13th International Conference of GeoComputation, Dallas, United States.
https://dspace.library.uu.nl/bitstream/handle/1874/355266/framework.pdf?sequence=1

2014

Wetenschappelijke publicaties

Diogo, V., van der Hilst, F., van Eijck, J., Faaij, A., Verstegen, J., Hilbert, J., Carballo, S., & Volante, J. (2014). Combining emperical and theory-based land use modelling approaches to assess future availability of land and economic potential for sustainable biofuel production: Argentina as a case study. Renewable and Sustainable Energy Reviews, 34, 208-224. https://doi.org/10.1016/j.rser.2014.02.040
van der Hilst, F., Verstegen, J. A., Zheliezna, T., Drozdova, O., & Faaij, A. P. C. (2014). Integrated spatiotemporal modelling of bioenergy production potentials, agricultural land use, and related GHG balances; demonstrated for Ukraine. Biofuels, Bioproducts and Biorefining, 8(3), 391-411. https://doi.org/10.1002/bbb.1471
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. (2014). Identifying a land use change cellular automaton by Bayesian data assimilation. Environmental Modelling and Software, 53, 121-136. https://doi.org/10.1016/j.envsoft.2013.11.009
https://dspace.library.uu.nl/bitstream/handle/1874/310270/1_s2.0_S1364.pdf?sequence=1

Overige resultaten

van der Laan, C., Budiman, A., Verstegen, J. A., Effendi, W., Dekker, S. C., & Verweij, P. A. (2014). Unravelling land use change processes in West Kutai Regency in the lowlands of East Kalimantan, Indonesian Borneo. Abstract from Spatial Ecology and Conservation, Birmingham, United Kingdom.
Verstegen, J. (2014). Future land use in Brazil under increasing demand for bioenergy. Poster session presented at BE-Basic Symposium, Noordwijkerhout, Netherlands.
https://dspace.library.uu.nl/bitstream/handle/1874/308705/January2014.pdf?sequence=1
van der Laan, C., Budiman, A., Verstegen, J., Effendy, W., Dekker, S., & Verweij, P. (2014). Unraveling land use change processes in West Kutai Regency in the lowlands of East Kalimantan, Indonesian Borneo. 1. Poster session presented at Spatial Ecology and Conservation, Birmingham, United Kingdom.
Verstegen, J., Karssenberg, D., van der Hilst, F., & Faaij, A. (2014). Systemic change increases model projection uncertainty. Geophysical Research Abstracts, 16, Article EGU2014-10454. http://adsabs.harvard.edu/abs/2014EGUGA..1610454V
https://dspace.library.uu.nl/bitstream/handle/1874/306435/10454.pdf?sequence=1
Verstegen, J., van der Hilst, F., Karssenberg, D., & Faaij, A. (2014). Integrated assessment of future land use in Brazil under increasing demand for bioenergy. Geophysical Research Abstracts, 16, Article EGU2014-11133. http://adsabs.harvard.edu/abs/2014EGUGA..1611133V
https://dspace.library.uu.nl/bitstream/handle/1874/306444/11133.pdf?sequence=1

2013

Vakpublicaties

van der Hilst, F., van Eijck, J. A. J., Verstegen, J. A., Diogo, V., Batidzirai, B., & Faaij, A. (2013). Global Assessments and Guidelines for Sustainable Liquid Biofuel Production in Developing Countries. Impacts of Scale up of biofuel production case studies: Mozambique, Argentina and Ukraine. UNEP, GEF, UNIDO, and FAO.
https://dspace.library.uu.nl/bitstream/handle/1874/314890/BF_Case_Studies_FINAL_REPORT_PRINT_and_WEB_20022014.pdf?sequence=1

Overige resultaten

van der Hilst, F., Verstegen, J. A., Karssenberg, D., & Faaij, A. (2013). Uncertainty assessment of future land use in Brazil under increasing demand for bioenergy. GC42A-02. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFMGC42A..02V
Verstegen, J. A., Karssenberg, D., van der Hilst, F., & Faaij, A. (2013). Systemic change increases forecast uncertainty of land use change models. GC31B-1037. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFMGC31B1037V
Verstegen, J. A. (2013). regional Biomass Resources Availability and Dynamics. Poster session presented at BE-Basic Symposium, Noordwijkerhout, Netherlands.
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. P. C. (2013). Systemic change increases forecast uncertainty of land use change models. Poster session presented at AGU Fall Meeting 2013, San Francisco, California, United States.

2012

Wetenschappelijke publicaties

Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. P. C. (2012). Spatio-temporal uncertainty in Spatial Decision Support Systems: A case study of changing land availability for bioenergy crops in Mozambique. Computers, Environment and Urban Systems, 36(1), 30-42. https://doi.org/10.1016/j.compenvurbsys.2011.08.003
van der Hilst, F., Verstegen, J. A., Karssenberg, D. J., & Faaij, A. P. C. (2012). Spatiotemporal land use modelling to assess land availability for energy crops – illustrated for Mozambique. GCB Bioenergy [E], 4(6), 859-874. https://doi.org/10.1111/j.1757-1707.2011.01147.x

Overige resultaten

Verstegen, J. A., & Karssenberg, D. J. (2012). Identifying transition rules in a cellular automaton by sequential assimilation of observations. 105-114. Abstract from Unknown event. http://www.camuss.dec.uc.pt/

2011

Overige resultaten

van der Hilst, F., Verstegen, J. A., Karssenberg, D. J., & Faaij, A. P. C. (2011). Spatial modelling of land availability for biomass resources. 235-237. Abstract from 19th European Biomass Conference and Exhibition. From Research to Industry and Markets, Berlin. https://doi.org/10.5071/19thEUBCE2011-OD1.1
Verstegen, J. A., van der Hilst, F., Karssenberg, D. J., & Faaij, A. (2011). Communicating uncertainty in spatial decision support systems - a case study of bioenergy-crop potentials in Mozambique. Geophysical Research Abstracts, 13(EGU2011-8339).
https://dspace.library.uu.nl/bitstream/handle/1874/251756/VerstegenCommunicatingIncertainty.pdf?sequence=1