How your fit works

Daily needs, family, mobility, environment and culture, from concrete places within walking distance. We compute quality across the whole area of a Grätzl (250 m grid) instead of a single centre point: the edge counts too, not just the middle.

Ratio of rent or purchase price to the area median: fair, not just cheap. This pillar is still provisional and visibly marked as such until we connect real market data.

How cool the location is, plus street trees and nearby water. In Vienna the value comes from the city’s official urban climate analysis, in Graz from the City of Graz’s official climatope map (46 climatope classes, each area with its official description). Outside these two city areas no such map exists, so we calculate it from the official soil sealing data (Copernicus, 10 m): how much a location heats up depends first on how much ground around it is sealed. We calibrated this against 818 cells of the Vienna map and tested it on districts the model had never seen: the level is exactly right in 68 percent of cases and within one level in 90 percent. Every listing shows which of the two applies. Honest limit: the scale is calibrated on Vienna, so in markedly cooler regions the calculated value tends to come out slightly too warm.

Real travel times to your work address by mode: public transport, bike, car, on foot. Reachable metro/rail/tram/bus lines are counted from OpenStreetMap, the frequency (departures per weekday within walking distance) from the real timetable (Wiener Linien and ÖBB): both visible per Grätzl in the Atlas. For commercial spaces this pillar becomes "Accessibility" and measures footfall: how busy a location is for retail, computed per 250 m cell from the density of shops, food & drink and services, proximity to pedestrian zones and transit frequency. It carries the most weight; climate then counts for less.