Spatial intelligence guide
How to analyze catchment areas using buffers and isochrones

Quick answer: a catchment area is the zone from which a location draws its visitors or customers. It is usually modeled in two ways: a buffer (a fixed-distance radius around a point) or an isochrone (the area reachable within a specific travel time on foot, by car, or by transit). Buffers are
Why buffers and isochrones matter
When you’re analyzing locations for architecture, real estate, urban planning, or business, it’s not enough to see just the point. You want to understand how far people can reach, how accessible amenities and transit are, and which areas fall within an influence zone.
Buffers (e.g. a 500 m radius) give a simple, straight-line “as the crow flies” boundary. Good for quick estimates of immediate reach
Isochrones (e.g. 5-minute walk, 10-minute drive) provide a more realistic catchment area based on actual road network and travel mode.
Comparing buffers vs isochrones helps you understand the difference between geometric proximity and real-world accessibility.
These zones are essential for calculating things like potential population, service area and even delivery zones.
Buffer vs Isochrone — when to use each
A fast, rough approximation of immediate proximity (e.g. “within walking distance in theory”)
Better when you’re looking at long-term goals, since it doesn’t account for street infrastructure, which can change more quickly than buildings.
What to Emphasize (by Use Case)
When you care about actual access via roads — walking, driving, cycling like how to build catchment zones based on travel time
What to Emphasize (by Use Case)
Better to evaluate the real effect here and now
Comparison to evaluate how much of that buffer is truly reachable
What to Emphasize (by Use Case)
When you’re analyzing locations for architecture, real estate, urban planning, or business, it’s not enough to see just the point. You want to understand how far people can reach, how accessible amenities and transit are, and which areas fall within an influence zone.
Choosing the right radius or travel time
The radius you choose depends on the purpose of your study.
Accessibility zones can often be found in planning regulations — for example, they specify walking distances to schools or kindergartens.
For business cases, look at the usage scenario and visit frequency. For instance, people go to grocery stores almost daily and usually spend about 5 minutes walking there, so a 5-minute isochrone works well. Clothing stores are visited less frequently, which means the accessibility zone should be larger.
Considerations when building a radius and buffer
Instead of manually preparing data layers, Aino lets you run your site analysis through prompts in natural language. You can:
Use the right radius based on the assumptions
Use the right speed assumptions (walking ~5 km/h, driving ~40 km/h)
Check a street network graph (roads, sidewalks) in case that there aren’t gaps. Because if they are, the algoritm will show the smaller area
Consider barriers (rivers, highways)
Common layers to combine after buffer/isochrone
After you’ve built your zone, the power comes from layering complementary data:
Population and demographic layers Income, age cohorts, employment POIs / amenities (shops, transit, health facilities, schools) Competitors / neighboring services Transport stops / lines Land use / zoning Natural barriers, green areas, open spaces
How to do this in Aino
Instead of manually building isochrones or buffers in GIS and then layering data, Aino lets you prompt your analysis in natural language.
Choose the location, ask Aino to create the buffer or isochrone, add demographics, POIs, transit stops and other layers you need, then visualize the result on an interactive map or export it as data or PNG/JPG.
Frequently asked questions about buffers and isochrones
What is the difference between a buffer and an isochrone?
A buffer is based on distance — a fixed radius around a point. An isochrone is based on travel time and follows the real street network. Use a buffer for a quick radius check and an isochrone when accessibility depends on roads, walking paths, or transit.
What travel time should I use for a catchment area?
Match the zone to visit frequency: about 5 minutes walking for daily needs like grocery stores, larger zones for less frequent destinations like clothing stores. Use walking speed around 5 km/h and driving around 40 km/h as defaults.
What data should I layer on top of a catchment area?
Typical layers include population and demographics, income and employment, POIs and amenities, competitors, transit stops, land use and zoning, and natural barriers. Together they turn the zone into a measurable area of influence.
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