LRS lite

Location Resilience Screening
Helicopter view over the commercial real estate market
Find and compare commercial influence areas around real estate properties
Free map showing retail properties with their location resilience scores and underlying metrics: number of visitors and businesses in their local and regional influence areas.
See all property locations in a single view. Observe location scores for each and every property in real estate portfolio.
Area around the property generating demand for its services. Defined by transport and pedestrian accessibility.
For retail properties in the free map, local influence is defined by 15-minute walk, and regional influence – by 30-minute drive radius.
Influence area
By number and diversity of commercial outlets in property influence area.
Business Score
By number of active visitors in property influence area.
Visitation Score
Measure of location commercial resilience. Based on visitation counts and business density and diversity in property influence area.
Location Resilience Score

Tested and trusted by:

Moody's Analytics
REBNY
Uniqlo
CBRE
Cornell Tech
Cherre
F500 banks
Hartford Steam Boiler
Australian Super
Statebook International
Trepp
MIT Center for Real Estate
PwC

‣ Three scores
Free
‣ Two influence areas
‣ Geography: Greater New York (2 hours driving radius from Manhattan)
‣ Time: Current
‣ Customized influence areas based on your preference
Enterprise
‣ Geography: USA and subnational units
‣ Time: current and historical
‣ Batch processing of multiple properties
‣ Data export
‣ Customized dashboards and reports
‣ Advanced analytics including customer data

User stories

Compare your property portfolio with competitors

Screen the region to define hotspots for deals

Build property location underwriting reports

Define property portfolio strategy

Integrate into financial valuation and risk models

Monitor portfolio performance linked to market data


Location risk scoring system shows relative resilience of influence area around each and every property over time and within selected benchmark geography — local, regional, national.
LRS process:
  • 300M locations scored in the USA alone: 130M buildings (Microsoft), 153M parcels (Regrid), roads and free spaces.
  • To score locations, we first define them as influence areas around properties. Influence areas are property function type-specific.
  • Before scoring, we describe locations by the number of visitors and businesses.
  • Finally, we score each location against all others or against their selected peers within national or subnational context.
  • We use real-time big data to identify property tenants and visitors who are staying or moving in and out.

Location analytics principles we follow:
  • Location is not a geoposition of the property but an area extending far beyond walkable proximity.
  • Location is relational and always seen in the context (city, state, nation), so a helicopter view on the property location system is instrumental.
  • Location is dynamic: people and businesses are moving in and out, changing the supply/demand balance around properties.
Location score derivatives – automated liquidity rate and best use analysis – explained
Data dictionary: metrics behind our location scores
    Find out more about LRS
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