# Urban Design for Economic Growth

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<summary>Definition</summary>

Urban Design for Economic Growth measures the absolute number of innovation-related jobs located within each neighborhood. This KPI reflects the relationship between urban structure and the spatial distribution of knowledge-intensive economic activity. High scores indicate areas where design conditions support economic dynamism, clustering of talent, and access to innovation ecosystems.

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<summary>Navigation</summary>

Displayed as a heatmap, this KPI shows the concentration of innovative employment across the city.

* Blue areas represent neighborhoods with low levels of innovative employment.
* Red areas indicate high concentrations of innovation-related jobs.
* Clicking on any neighborhood reveals the total number of innovation-focused employees in that unit.
* Sidebar visualizations compare each area’s economic performance relative to the rest of the city.

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<summary>Methodology</summary>

The score is calculated by identifying and aggregating the number of innovation-related employees in each neighborhood using a multi-step filtering process.

1. Business Geolocation – All businesses in the city are mapped using spatial data.
2. Spatial Assignment – Each business is assigned to a specific Spatial Cluster (SC)  unit based on its location.
3. Employment Count – Total employment figures are assigned to each business from available datasets.
4. Innovation Filtering – Using Aretian’s innovation-sector classification maps specific NAICS codes and economic activity types associated with knowledge-intensive industries.
5. Employment Aggregation – The total number of employees in innovation-classified businesses is computed for each spatial unit.

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<summary>Calculation</summary>

$$\text{Urban Design for Economic Growth}=\sum{j\in iEmployees\_j}$$

Where:

* $$i$$ = Neighborhood or urban unit
* $$j$$ = Business located within $$i$$
* $$Employees\_j$$ = Number of employees at business $$j$$, filtered to include only innovation-related sectors

The result is the total number of innovation-related employees per neighborhood.

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<summary>Interpretation</summary>

* High Scores indicate neighborhoods that successfully support innovation ecosystems, often through a combination of strong design, accessibility, and clustering of talent and institutions.
* Moderate Scores reflect some economic activity but lower concentration of innovation sectors.
* Low Scores may signal residential, industrial, or disconnected areas with little or no innovation economy presence.

This KPI helps identify:

* Existing or emerging innovation districts
* Areas where design or access improvements could attract knowledge-based industries
* The spatial footprint of economic productivity and complexity within the city

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