Victor is a PhD candidate researching how urban problems such as unaffordability, inequality, and sprawl stem from a common cause: land rent, the unearned income from owning scarce land. Arguing that planning often treats these as isolated symptoms, he presents land value taxation as an "anticipatory framework rule" that filters out rent before it manifests, shifting planning from reactive to preventive. His research further focuses on how understanding land rent can help us understand why redevelopment fails to occur in growing cities even if building regulations loosened. He uses agent-based simulation to test how LVT can restore these incentives and aims to use this simulation for playable learning. 

He works at the Department of Human Geography and Spatial Planning at Utrecht University. He has a Master's degree in Spatial & Transport Economics from VU Amsterdam. He has previously worked with Significance, Decisio and AtAdlerAdvisory on many projects including Social Cost-Benefit Analyses for biking investments, the economics of placemaking investments, travel surveys, and traffic modelling.

Research areas: land markets, land rent, land value taxation, land use efficiency, property rights, public infrastructure, urban externalities.