Social Distancing Dashboard provides roadmap for city dwellers

With growing numbers of pedestrians and cyclists returning to city streets, keeping a safe distance of 1.5m can be a challenge in many urban areas due to the way public space (or lack of it) has been designed.

The Social Distancing Dashboard, a project led by scientists from Delft University of Technology (TU Delft), in collaboration with the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute), helps to raise awareness about constraints posed by the design of public space and contributes to decision making for COVID-19 related interventions in urban planning.

The Dashboard creates city maps that show on a street and neighborhood level if social distance rules can be respected when moving in public space. It offers an overview of different factors – such as the width of the footpath and location of bus stops – affecting our ability to respect social distancing rules.

The dynamic and color-coded maps are open access and available for use by e.g. policymakers, charged with making decisions on public health and city planners, tasked with making COVID-19 related interventions in the urban space. The dashboard is also intended to raise awareness amongst city residents – especially those in risk groups – who want to navigate the city streets as safely as possible.

Read the full article here: https://www.ams-institute.org/news/social-distancing-dashboard-provides-roadmap-city-dwellers/

Or go straight to the Social Distancing Dasboard: https://covid19.social-glass.tudelft.nl/#14/52.3722/4.88072

https://www.ams-institute.org/news/social-distancing-dashboard-provides-roadmap-city-dwellers/

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AMS Institute's picture
AMS Institute

Hi Carla, thanks for getting in touch! I'll check with our Research Fellow, Dr. Achilleas Psyllidis. Get back to you asap! Best, Katjana

Carla Nisio's picture
Carla Nisio

Are you thinking of adding data on the presence of people, bicycles, cars to give information on real-time occupation of the streets and neighborhoods of the city? If so, based on what data sources?
Carla Nisio, Italy

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