Optimal Meeting Point

A mathematically central point becomes useful only after you test real access

An optimal meeting-point workflow starts by defining what 'fair' means. Equal straight-line distance, minimum total distance, equal drive time and easiest public transport can all produce different answers. A geographic centre is objective, but it may fall somewhere inconvenient or inaccessible.

Use the calculated point to narrow the search area, then compare nearby towns, stations, venues or road junctions using routing. For groups with very different transport modes, optimize around travel burden rather than map symmetry.

When this tool is useful

Use Optimal Meeting Point when the question matches the method the page actually uses. Typical workflows include:

• Run the same workflow for locations in different countries while keeping units and assumptions consistent.
• Answer a one-off question about meeting point and keep the result tied to a visible map or explicit input.
• Compare two or more scenarios involving meet in the middle without creating an account or installing desktop software.

Worked examples

These examples are meant to show how to interpret this kind of output, not to replace the values produced from your own inputs.

• New York → London — The great-circle distance is about 5,570 km (3,461 mi), with an initial bearing of 51° (NE).
• Tokyo → Sydney — This pair is about 7,826 km apart on the sphere. It is a useful example of why flat maps distort long intercontinental routes.
• Paris → Berlin — The straight-line distance is about 877 km. Road distance is longer because real routes follow the transport network rather than the geometric minimum.

How to interpret the result

The most common errors come from using a correct result to answer the wrong geographic question. Keep these points in mind for Optimal Meeting Point:

• Use the midpoint tool instead of averaging coordinates when splitting journeys: latitude/longitude averages distort over long legs and fail across the date line, while the spherical midpoint follows the actual path the distance was measured along.
• Always confirm which distance you need before quoting one: straight-line for physical questions, road distance for driving, and network time for schedules. The three can differ by half again in mountainous or island geography, and quoting the wrong one is the most common distance mistake in reports.

Limits & appropriate use

The honest limits here are about category, not quality: great-circle math is near-exact, but it answers 'how far over the surface', not 'how far as driven, flown or walked'. Airline distances follow airways and winds; odometers follow detours; hikers follow switchbacks. Quoting a straight-line number into a fuel budget is the classic misuse, which is why the tools keep the ladder visible — crow-flies, road, time — and label each rung. A second limit is definitional: 'city to city' means mapped centre to mapped centre, and a suburb-to-airport question is a different measurement wearing the same sentence.

Within those bounds the numbers are durable: reproducible from coordinates alone, stable across tools that use the same radius convention, and accurate to a fraction of a percent of geodetic truth. The escalation path is short and rarely needed — ellipsoidal libraries (Karney's algorithms) for survey-grade millimetres, the routing engine for network truth, and the airline's schedule for invoice truth. Knowing which authority owns which number is the entire craft of distance literacy.

• Survey-grade millimetres → ellipsoidal geodesic libraries, not sphere math.
• Fuel and schedule planning → road routing plus your congestion buffer.
• Airline invoicing → carrier distance tables (airways ≠ great circles).

Data & methodology

Distances and bearings use haversine great-circle math on the WGS84 mean sphere (R = 6371.0088 km), accurate to ~0.3% of ellipsoidal geodesics; the methodology page documents the full recipe.

For source details, licences and model limitations, see Data Sources and Methodology.

Key terms worth knowing

Great circle

A circle centred on Earth's centre; its arcs are the shortest surface paths.

Haversine

The standard stable formula for great-circle distance on a sphere.

Go deeper: guides & original studies

Use these resources when you need the reasoning behind the calculation, a comparison with another geographic method, or an example of the same approach applied across a dataset.

Related tools

If this page answers only part of your question, these tools use a nearby but different method or dataset.