PhD defence: Mariusz Hermansdorfer

Mariusz Hermansdorfer defends his thesis:

Augmenting Landscapes
Computational Design for Sustainability Assessment Across Urban Scales

Supervisors:
Professor Hans Skov-Petersen, IGN
Associate Professor Pia Fricker, Aalto University, Finland

Assessment Committee:
Associate Professor Jillian Wallis, University of Melbourne, Australien
Lecturer Ilmar Hurkxkens, Delft University of Technology, The Netherlands
Associate Professor Christian Fertner (chair), IGN

Abstract:
This thesis explores the integration of computational design methods in landscape architecture to address the growing complexity of urban environments and sustainability challenges. Through a series of interconnected studies, it demonstrates how digital tools and data-driven approaches can augment traditional landscape architectural workflows, particularly in the early design stages where decisions have far-reaching consequences. The methodology combines theoretical development with practical application, validating each computational approach through diverse case studies drawn from professional practice.
The research progresses from block-scale interventions to city-wide planning strategies. Key contributions include: (1) SandWorm, an intuitive tangible interface for collaborative terrain modeling with emphasis on stakeholder engagement; (2) a parametric optimization method for climate-adaptive terrain design balancing earthworks with effective stormwater management; (3) GreenScenario, a comprehensive framework for evaluating sustainable urban landscapes, providing real-time feedback on multiple environmental and economic factors; and (4) Urban Decarb, a tool integrating life cycle assessment into early-stage urban planning.
Collectively, these studies reveal key themes in the application of computational design to landscape architecture: the potential for immediate, data-driven insights to enhance decision-making, the ability to support qualitative design considerations with quantitative metrics, the facilitation of interdisciplinary collaboration, and the capacity to address urban challenges in climate adaptation and carbon reduction. The research illustrates how these computational approaches can be effectively applied across various scales, offering new possibilities for integrated urban design. While demonstrating the benefits of data-driven design methods, this research advocates for balancing computational analysis with the creative intuition and contextual sensitivity central to traditional landscape architectural practice. It emphasizes the role of the landscape architect as a critical interpreter of computational outputs, ensuring that technological advancements enhance rather than diminish the profession’s core values and expertise.