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The Urban Analytics
These set of tools are used to link new data with birth cohorts to offer new insights into aspects of the built and natural environment that are not covered by conventional datasets.
The tools can be helpful to identify factors and developed protocols to include smart noise and air quality monitoring from different cities.
A Python library for calculating various street network centrality and accessibility metrics, as well as the size and layout of surrounding pedestrian and bicycle infrastructure.
An interactive web tool that maps how many and which amenities people of different ages may reach in a 5 or 15-minute walk.
A fully reproducible workflow to measure the accessibility of urban greenspaces to different population groups.
A Python library for calculating prospective social encounters between persons from different demographic groups.
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A fully reproducible workflow for calculating natural surveillance scores along city streets based on overlooking windows.
A Python tool for calculating the ease with which children can access play spaces in the city without adult supervision. It considers (perceived) barriers and informal spaces for play.