We structure raw data from trusted data providers into location scores. The location scores measure assets' locations and their catchment areas. The scores are based on the diversity of business activities, the volume of visits and spending, and transport accessibility.
To guide investment decisions, location risk data that feeds financial benchmarks needs to be accurate. Habidatum's state-of-the-art automated data quality control system improvers data accuracy.
Habidatum provides historical, present, and forward-looking market-tested data feeds
Risk & Potential
Integral metric that describes location's visits and business diversity, measured by clusters.
Location risk score
Rank of a location's commercial potential relative to other locations in a selected geography considering its centrality and catchment area.
Number of people in a selected location at a given time (hourly, daily, during peak hours).
Temporal activity patterns
Daily activity chart and number of peaks throughout the day in a given location.
Local audience profile
– Distribution of residents and workers, tourists and locals – Age, gender, income groups – Distribution by interests (for example, athletes, tourists, car owners, dog lovers).
Hotspots of interest for the local / target audience, other from home and work locations.
Origin / Destination
Number of unique trips from/to a given location by day of week or by hour.
Peak traffic ratio
Ratio between permanent daily population (workers, unemployed, children, eldery etc.) and visitor count during the peak hours.
Sub-metric: - Deviation of the average visitor count from the peak hour count (number of people by the hour), which characterizes the location by type of use - as transit, mono- or multifunctional.
Ratio between resident counts inside and outside the boundaries of the district, hourly throughout the day.
Street life index
Share of residents who spend time outside home (grid cells indicated as "home"), daily and hourly throughout the day.
Dwell time / Stay vs. transit
Time spent in a given location: visitor groups ratio defined by the duration of stay in minutes.
The share of tourists within a given location to the the citywide tourist count, monthly, daily or hourly.
Transactions dynamics – volume and amount of retail transactions in a given location at a given time divided by categories and merchant type, daily and hourly.
Sub-metrics: - number of receipts divided by categories, daily and hourly sums - spending on commercial services (service economy).
Commercial activity ratio
Total spend to visitor count ratio (focus on residents, workers, target audience etc), daily.
Nodes of business density
Number of social and commercial service vendors (businesses) available per sq ft / per capita by square grid.
Nodes of business diversity
Number of unique business categories available per sq ft / per capita by square grid.
Sub-metric: - commercial uniqueness: ratio of commercial businesses by categories in the area to the citywide average - service businesses: ratio of service industry businesses in the area to the citywide average.
The share of businesses in colocations to the total number of businesses within the area. The higher the share – the more commercially stable (developed) is the territory.
CRE & housing prices
The number and variety of residential and commercial real estate lease and sale offerings, and related prices.
Excessive / deficient service accessibility
Number of commercial and social services accessible by transport or walking: compared to city average or other benchmark values, weighted by nighttime population or daily activity count.
Effective accessibility: area, accessible from a selected location in a given time, configurable by travel mode and time range in minutes.
Road network connectivity
The most/least accessible areas and sections of the road network. Originally developed by the Space Syntax Laboratory at the UCL Bartlett.
Green areas within pedestrian accessibility: sq ft of greenery / min of walking.
Bike comfort index
Psychological / physical comfort and ease of use of existing and planned cycling infrastructure, consists of 3 to 5 sub-metrics: - Elevation or grade on the route – how easy / hard it is to cycle - NDVI on the route – how green the surroundings are - POI density on the route – the number of attractors - Density of road accidents on the route – how safe the streets are - Speed limits on route.
Green view index
Share of green canopy in streetview images, calculated point by point for city street networks. Originally developed by MIT Senseable City Lab.