The demand drivers, and what feeds each

A physical business lives or dies on being where its customers are. But the people near a site do not all count the same. Someone at home on their own street, a worker on a lunch break, and a visitor passing through behave differently in front of the same door, so a bare count of heads tells you surprisingly little on its own.

A demand driver is a named reason people are near a site. Underneath any location sit more than a hundred raw local signals; grouping them by the reason people are present turns that noise into something you can read, because the reason is what shapes spending. IRIS decomposes the demand behind a site into seven drivers:

• Residential: the people who live in the catchment.
• Work & school: the workers and students who arrive by day.
• Shopping & dining: the retail and hospitality pull nearby.
• Public & local: transport, services, and everyday civic footfall.
• Leisure & events: the culture and entertainment that draw people in.
• Passing: through-traffic that goes past but not necessarily in.
• Tourism: visitors from outside the area.

Each driver is a bundle of related signals, and each is decayed by travel time so that nearer people count for more than far ones. It is why 100 workers two minutes away can outweigh 500 workers ten minutes away.

These categories are not set in stone

The seven are a practical decomposition, not a law of nature. They are the groupings that have proved useful for reading demand across a lot of sites, and they are refined over time: a driver can be split, merged, or renamed as the data and the markets teach us more. Treat them as a working vocabulary for demand, not a fixed taxonomy.

The same caution applies to how much each one matters. No driver carries a fixed weight. A unit by a motorway lives on passing trade; a lunch counter lives on daytime workers; a shop in a tourist quarter lives on visitors. The importance notes below are the usual shape, qualitative and general, not a measured coefficient. IRIS fits the actual weighting to your own stores, and for any given site it shows which drivers moved the forecast rather than assuming a standard mix.

One long-standing rule of thumb in the trade is worth keeping in mind while you read: the people who are at home, at work, or out shopping supply the large majority of customers at a typical site. That is why the first three drivers below tend to carry the most weight in ordinary locations. (An industry rule of thumb, not an IRIS measurement.)

The seven drivers

Residential

The people who live inside the catchment.

• What can feed it: population and demographic counts (government and census sources, plus finer-grained commercial providers), purchasing power and household make-up, all decayed by travel time from the site.
• How much it usually matters: Usually one of the heaviest, and the first thing most site models reach for. Strongest for convenience and routine formats that people use close to home.

Work & school

The workers and students who arrive by day and leave at night.

• What can feed it: counts of offices and companies (or office floorspace in m² as a proxy for employees), schools and universities and their rolls, daytime workplace population, and commuter mobility.
• How much it usually matters: Heavy for daytime and lunch-led sites, where a large working population can rival the residents. Quiet in the evenings and at weekends, which is itself useful to know.

Shopping & dining

The retail and hospitality pull already nearby.

• What can feed it: shop and restaurant points of interest and their density, retail floorspace, footfall and mobility around retail clusters, and competitors (including your own nearby stores).
• How much it usually matters: Strong wherever there is an established retail draw; it is the "shop" leg of the classic home, work, shop trio. Nearby competition can raise the pull of an area and split the custom within it at the same time.

Public & local

The everyday civic and transport footfall: stations, stops, public services, and the routine comings and goings of local life.

• What can feed it: transport nodes (stations, stops, park-and-ride), public-service and civic points of interest, and pedestrian mobility through the area.
• How much it usually matters: Often significant in town centres and around transit, where a steady all-day flow underwrites the site. Modest in car-dependent, low-density locations.

Leisure & events

The culture and entertainment that draw people in: cinemas, theatres, museums, stadiums, and venues.

• What can feed it: leisure and cultural points of interest, event calendars and venue capacities, and visitor counts to attractions.
• How much it usually matters: Can be large next to a major venue, but it is lumpy and episodic: it spikes on match days or show nights rather than paying the rent every Tuesday. Read it as upside with a timetable, not a steady base.

Passing

The through-traffic that goes past the door but not necessarily in.

• What can feed it: the road network and long-distance traffic volumes (roads-authority counts and navigation-provider data), together with how visible and easy to pull into the site is.
• How much it usually matters: Highly variable. It can be the dominant driver for a motorway or roadside drive-thru, and almost irrelevant for a destination high-street unit. Watch for double-counting here: if you have already counted the people, do not count their cars again.

Tourism

The visitors from outside the area.

• What can feed it: hotel beds and occupancy, attraction and visitor counts, and tourism mobility signals, usually with a strong seasonal pattern.
• How much it usually matters: Market-dependent above all else. Substantial in a tourist city or hotspot, negligible in an ordinary suburb. Because it is seasonal, a site that leans on it trades very differently in and out of season.

Reading the shape, with the Singel

Take the running Amsterdam example. On the Singel sample the seven drivers read, strongest to weakest: Public & local 100, Work & school 96, Shopping & dining 92, Leisure & events 84, Residential 79, Tourism 55, Passing 40 (illustrative sample scores, not measurements).

That shape describes a destination street: it runs on workers, students, and everyday local footfall, leans hard on shopping and dining, and draws little from traffic hurrying past. People come to it on purpose and stay a while. A site with the same catchment size but the opposite shape, heavy on passing and tourism and thin on work and residents, is a different business behind the same headcount.

The drivers are a way to see the demand, not the final word on it. IRIS fits the weighting to your own stores, and for any site it shows which drivers actually moved the forecast, so the reasoning stays on the table rather than buried. Once you can read the shape, the next step is reading the demand behind a site as a whole.