Streets of Berlin: health impacts of urban street network

Space Syntax theory provides a method to quantify streets and their network and is therefore qualified to explore associations between spatial structure and human behavior and health. In this research project, we intend to continue working on a map of the city of Berlin to investigate how the street network can affect the health of its inhabitants. From the map we will derive metrics based on this methodology, such as connectivity, integration, and angular choice. Prospective students will join the research team by applying the established spatial analysis tools of GIS and Space Syntax, as well as comparative analysis on the impact of street networks on the health of the urban population.

Please find more information on our website: https://www.architektur.tu-darmstadt.de/urbandesign/forschung_udp/boulevards.en.jsp

  • Background in architecture, urban design or city planning
  • Basic knowledge of CAD and GIS software
  • Interest in learning further advanced spatial analysis methods (including depthmapX)
  • Ongoing research projects
  • Martin Knöll, Katrin Neuheuser, Thomas Cleff & Annette Rudolph-Cleff. “A tool to predict perceived urban stress in open public spaces.“ Environment and Planning B: Urban Analytics and City Science (SAGE Publications), Januar 2017. DOI: 10.1177/0265813516686971
  • Annika Dimitrov-Discher, Lanqing Gu, Lakshya Pandit, Ilya M. Veer, Henrik Walter, Mazda Adli & Martin Knöll. “Stress and streets: How the network structure of streets is associated with stress-related brain activation.“ Journal of Environmental Psychology (Elsevier), 2023, Vol. 91. ISSN 0272-4944, e-ISSN 1522-9610. DOI: 10.1016/j.jenvp.2023.102142
  • Hillier, B. (2007). Space is the machine: A configurational theory of architecture (Electronic edition). Space Syntax. https://www.spaceisthemachine.com/

Additional Information

Supervisor Prof. Dr.-Ing. Martin Knöll
Availability Spring, Summer and Fall 2026
Capacity 1 Student
Credits 18 ECTS
Remote Option Yes