Fair travel: balancing journeys across attendees

A fair meeting location is one where no group of attendees carries a much heavier journey than the others. The cheapest or lowest-CO2 city for the whole group can still send a few people on a long day of travel, so you need to look at the longest individual journeys, not only the totals. Once you can see who travels longest, you can decide consciously how much cost or CO2 you are willing to trade for a more even spread.

This article explains why the totals hide unfairness, how to measure fairness in practice, which trade-offs are worth making and what to do about the attendee who lives far from everyone else.

Why the cheapest meeting location can be unfair

Most location decisions are optimised for a sum: total travel cost, total CO2 or total hours on the road. Sums are the right basis for budgets and carbon reporting, but they reward the majority. If most attendees are clustered in one region, the best city by total almost always sits next to that cluster. Everyone in the cluster has a short trip; the few who start elsewhere absorb the long one.

Take a hypothetical leadership meeting with 40 attendees: 28 in southern Germany, 8 in northern Germany and 4 in Lisbon. A city in the south is very likely to win on total cost and total CO2, because 28 people travel briefly. For the four colleagues in Lisbon, though, the same choice can mean an early start, a connection, an overnight stay and a day lost on each side. Nobody planned it that way. The sum simply did not notice them.

That matters for more than politeness. The people who travel longest arrive tired, leave early to catch the last connection and spend working hours in transit. If the same offices are always the ones flying in, it becomes a pattern, and attendance from those offices tends to slip. For distributed teams, the location quietly tells people whose time counts.

Total travel time vs fair travel time

Fairness is not the same as equal travel time for everyone. With attendees spread over several countries, perfectly equal journeys are rarely possible, and chasing them can produce a location that is worse for everybody. A more useful definition: the location should not impose an unreasonable journey on any single group, and the burden should be visible before you decide.

Three measures make this concrete:

• The longest journey. Door-to-door travel time of the group that travels longest. This is the number that decides whether someone needs an extra night.

• The spread. The gap between the shortest and the longest journey. A small spread means the trip feels similar for everyone.

• The total. Hours on the road for the whole group, which is what productivity and cost are built on.

Door to door is the key phrase. Flight time alone flatters air travel and ignores the trip to the airport, check-in, connections and the last leg into the city. A train journey that looks longer on paper can be shorter in practice and lets people work on the way. Compare locations on door-to-door travel time, counted the same way for every origin, or the fairness picture will be wrong.

How to see who travels longest

You cannot balance what you cannot see. Fairness analysis needs every attendee group's journey to every candidate city, calculated on the same basis. In practice:

1. Collect origins with head counts. Where each group starts and how many travel from there. A city, a postcode or an airport is enough. You do not need names.

2. Choose your candidate cities. Include the obvious ones, the company sites and a few you would not have thought of. Fair options often sit between the clusters, not next to the biggest one.

3. Calculate door-to-door journeys for every pair. Real schedules, rail where it beats flying, connections and waiting time included.

4. Sort by the longest journey, not only by the total. For each candidate city, note which group travels longest and how long.

5. Check the arrival logic. Will the longest-travelling group arrive in time for a morning start, or does the agenda need to begin after lunch?

The Meeting Place Finder does steps 3 and 4 for you. It ranks every candidate city by travel cost, CO2 and travel time from where your attendees start, and, in the travel details of each city, shows the trip from every origin, so you can balance the journeys before anything is booked. You can read how we calculate door-to-door times and costs.

Trade-offs: fairness, cost and CO2

A fairer location usually costs something: a little more in total travel cost, a few more tonnes of CO2 or a few more hours overall. The point is to make that price visible and to decide it deliberately.

Some practical rules of thumb:

• Set a ceiling, not a target. Decide what the longest acceptable journey is, for example "everyone can arrive on the morning of the meeting". Then pick the cheapest or lowest-CO2 location that meets the ceiling.

• Use the three views to test sensitivity. In the Meeting Place Finder you can switch between three views: maximum productivity, minimum CO2 and lowest ticket cost. If the leading cities barely change between the productivity view and the cost view, the fair option is cheap. If they change a lot, you know what fairness costs here.

• Watch the overnight threshold. An extra hotel night for one group can cancel the ticket saving that made a city look cheap. Fairer locations sometimes win on total cost once nights are counted.

• Look at dates as well as places. A different date can bring better connections for the group that travels longest. Comparing alternative dates is often the easiest lever.

The goal is a defensible compromise. When someone asks why you did not pick the cheapest city, you can show what the cheaper option would have meant for the people travelling longest, and what you paid to avoid it.

Remote attendees and outlying offices

Some distributed teams have one or two people far from everyone else: a colleague in another continent, a small office on an island, a customer flying in from overseas. No location will make their journey short, and forcing the whole group towards them helps nobody.

Options worth weighing:

• Accept the long journey and support it. Book the extra night, schedule the agenda so they do not miss the start, and recognise that their trip is the hard one.

• Rotate the location across a series. For recurring meetings, fairness can be judged across the year rather than per event. If the spring meeting favours one region, the autumn meeting can favour another. Keeping the calculations for each event makes this easy to show.

• Join remotely for short formats. For a half-day session, a long-haul round trip is hard to justify on cost, CO2 or time. Reserve the in-person trip for the formats where presence matters most; in-person meetings still matter, but not every agenda needs everyone in the room.

• Leave the outlier out of the optimisation, then check them. Optimise for the main groups, then check the remote attendee's journey to the top two or three cities and pick the one that is most reasonable for them.

A checklist for a fair meeting location

• Origins and head counts collected for every attendee group

• Candidate cities include points between the clusters, not only the largest office

• Door-to-door travel time calculated the same way for every origin

• Longest journey and spread noted for each candidate city

• A ceiling defined for the longest acceptable journey

• Overnight stays counted in the cost comparison

• At least one alternative date compared

• The trade-off documented: what the fair option costs compared with the cheapest

If you want the wider method for choosing a location, our guide on how to choose a meeting location covers the full decision.

FAQ

What is a fair meeting location?

A location where no group of attendees has a disproportionately long journey compared with the others. It is not about identical travel times, which are rarely possible, but about keeping the longest journey reasonable and making the burden visible before deciding.

Does a fair location always cost more?

No. Often the cost is small, and sometimes a fairer location is cheaper overall once extra hotel nights for the longest-travelling group are counted. Calculating every option on the same basis shows you the real difference.

How do I measure travel time fairly?

Use door-to-door travel time for every origin: the way to the station or airport, connections, waiting and the last leg. Compare the longest journey and the spread between the shortest and longest, not only the total.

Do I need personal data to plan fair travel?

No. Origins with head counts are enough: a city, a postcode or an airport for each group. The Meeting Place Finder works without names.

See it for your next meeting

If you would like to see who travels longest for your own attendees, request a free trial for a small event, or book a demo and we will walk through a real case with you.