26.07.2022

How Fyma data is being used to create a well-being score for a better urban living environment for an entire city

Before working with Fyma, the planning team conducted labor-intensive surveys to understand modal share and purchased multimodal studies based on models, not actual counts from the very streets in question. Given the significant change in human behavior during the pandemic, LLDC was eager to use actuals rather than forecasted data and turned to Fyma to transform the park’s video footage into actionable insights.

What is the well-being score?

The Well-being Score (WBS) is an innovative system, which establishes the relationship between spatial characteristics and the well-being of local citizens. WBS builds on the well-known model of determinants for health and well-being by Barton & Grant (2006), and reinvents it to fit the local context and “objectively” measurable data. In its essence the Well-being Score consists of five layers:

WBS is being piloted in the Estonian city of Narva, and aims to identify why the public spaces, incl, in different residential areas, with seemingly similar spatial characteristics are perceived differently by the locals, and why some places become more popular than the others.

What is the next project?

This project is being run by the FinEst Centre for Smart Cities together with our frequent collaboration partner SPIN Unit. In addition to fieldwork, research and information activities, Fyma has been installed in 10 locations across the city to integrate our analytics on mobility, footfall, density and modal share over a longitudinal study into creating the index. With Fyma’s data, any city in the world can rather cheaply monitor a few wellbeing indicators all year long.

This text originally appeared here.

Get started
Your request has been submitted!
Something went wrong! Please try again later.
Ready to chat?

See how Fyma can help you gather accurate occupancy insights right from the start.

Object detection
and recognition

Behavioural
analytics

Specific location
analysis