Data feeds

Habidatum provides historical, present, and forward-looking market-tested data feeds.

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 improves data accuracy.

Risk & Potential

  • Centrality index: 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.

Mobility

  • Visitor count: 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).
  • Leisure hotspots: 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, elderly etc.) and visitor count during peak hours.

Sub-metrics

  • Dormitory index: 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.
  • Tourist capacity: The share of tourists within a given location to the citywide tourist count, monthly, daily or hourly.

Business

  • Spending patterns: 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

  • 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-metrics
  • Colocations: 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.

Accessibility

  • 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.
  • Catchment area: 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 accessibility: Green areas within pedestrian accessibility: sq ft of greenery / min of walking.
  • Bicycle comfort index: Psychological / physical comfort and ease of use of existing and planned cycling infrastructure.

Sub-metrics

  • Green view index: Distribution of residents and workers, tourists and locals, age, gender, income groups, and distribution by interests (for example, athletes, tourists, car owners, dog lovers).