Urban Analytics

The Urban Analytics research theme investigates how city design influences quality of life. It specifically explores how built-environment features interplay with the dynamics of human activities and the resulting livability, well-being, and health outcomes. The increasing complexity of urban environments requires radically new approaches to the ways we analyze cities and translate these analyses into meaningful design guidelines.

We develop innovative methodologies and tools to measure quantitative and qualitative characteristics of the built environment, to capture how they interplay with human behavior, and to provide measurable evidence for design policies and interventions. We bring together large-scale location data and cutting-edge spatial analysis with human-centered data science and design approaches to develop robust metrics of accessibility, walkability, livability, and well-being. 

Within the KInD group, we specifically focus on topics pertaining to human mobility, active travel behavior, green space accessibility, and quality of the built environment, while addressing contemporary societal challenges of spatial age segregation, social cohesion, equitable access to amenities, and mental health. What sets our approach apart is the emphasis on customizable and context-sensitive measures of the built environment that account for different age groups, population demographics, needs, and preferences. We do not simply explore how city design associates with various livability and health outcomes, but instead seek to identify the degree to which different features lead to improved behaviors. In this way, we aspire to have impact on shaping cities that promote healthier lifestyles and improve people’s quality of life.
 

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