Same Journey, Different Price — Why?
Thinking about you on a train from Manchester to London, you spend about £60 on this trip with sipping
your overpriced station coffee, when
the person sitting next to you casually mentions he paid just £30 for the same
journey. Suddenly, your £60 ticket tastes twice as bitter. Same seats, same
destination, so why did he only
pay half?
This
isn’t luck, it’s because he knew the system better than you. This is a case of information asymmetry. The train company had all these options available but
didn’t show them clearly. One passenger had access to better information; the
other didn’t. And that knowledge gap turned into a price gap.
But
that £60 ticket is just the tip of the iceberg. The real problem? The system is rigged to hide cheaper
options, from hidden fares
buried in maze-like menus to psychological traps that steer you toward higher prices, the
system is designed to keep passengers in the dark.
Behind the Screens: How the System Is Built to Mislead
So why does this happen? Here’s the dirty secret:
your train operator isn’t working for you, they’re gaming
a principal-agent problem. In theory, you’re the boss
(the principal), trusting the ticketing platform (the agent) to find
the best deal for your journey. But in reality, platforms like Trainline are
profit hunters. In this case, they prefer to sell tickets with higher
commissions—like those £60 ‘flexible’ fares—quietly push them while burying
cheaper split-ticket options behind layers of filters.
But it’s not just one app with bad incentives, the whole system is built this way. Operators use shared algorithms to monitor and match prices in real-time. This behavior aligns with what Ezrachi and Stucke (2016) call "conscious parallelism"—a form of tacit collusion where firms, through identical algorithms, mirror each other’s pricing strategies without explicit agreement. The outcome? Prices are kept at levels far higher than true competition would allow. It’s a clear case of information asymmetry: operators know exactly how the system works, but passengers don’t. The result? Prices look identical across platforms, making it nearly impossible for passengers to find better deals.
It's not the end, the manipulation goes deeper, and it's in your face. Every time you book a ticket, the system nudges you to pay more. By how? Imagine you are searching the app late at night, watching the fare jump £10 within minutes, and you panic, clicking “Buy Now” before it gets worse. Or hesitating for just a moment too long and seeing the message: “Only 2 seats left at this price!” This stress is not random. It’s built into the system. To avoid the risk of paying more later, many passengers rush to book expensive tickets even though waiting or taking a different route could save money.
This strategy, called loss aversion, is when people value losses more than associated gains. (Jervis, R. (1992)), it preys on our panic: we'd rather overpay now than risk missing out even if waiting could save us cash. Train companies deliberately limit cheap tickets and use panic-inducing messages to push early bookings, proving that high fares are not just about market control, but also about manipulating minds and behaviors. As a result, you’re not just buying a seat, you’re stepping into a system that quietly turns your confusion into profit.
Where Your Money Goes and Why It’s
Hard to Know
Figure 1: Where do rail fares go? Source: Rail Delivery Group via BBC (2018).
The manipulation doesn’t stop at confusing prices, it runs deeper, baked into fare components that are designed not just to obscure what passengers pay, but why they pay it. According to Figure 1, only 2% of your fare goes toward profit, with the bulk covering staff wages, infrastructure, and maintenance. But here’s the catch: 35% of spending is jumped into a vague “other” category. What exactly does “other” mean? No one knows and that’s the problem. Without clear, itemized breakdowns, passengers are left guessing—Is that £60 ticket a fair price or a rip-off? Right now, there’s no way to tell.
Real Transparency, Real Change
Trying
to book a train ticket these days feels like navigating a maze, and that’s not
an accident. It’s exactly why we need real transparency. Transparency isn’t
about being nice; it’s about being visible. And that visibility is what gives
it power. As Zúñiga, Jenkins, and Jackson (2018) put it, “To ensure a positive
influence, transparency and accountability systems should be designed to support
each other.” In other words, openness only matters when it’s tied to
consequences. That’s where regulation and public scrutiny come in. Once things
are out in the open, companies face real pressure from reputation damage to
financial penalties. And often, that’s enough to steer them away from sneaky
practices, like hiding cheaper fares or rigging the way prices are ranked.
If
we want to push back against all this confusion, we need a simple, universal
rule for how train fares are shown. Booking platforms should be required to show all available options
upfront, not just the most
expensive or convenient ones filtered through algorithms. That means including
split ticketing, off-peak alternatives, and slower but cheaper routes without
making passengers dig for them.
When
passengers no longer have to ‘dig’ for a fair deal, it tackles two fundamental
problems: information asymmetry (can I trust this fare?) and the
principal-agent problem (is this platform really acting in my interest?). Transparency
changes the rules of the game. No more hidden profits at the passenger’s
expense, leaving just honest, genuine price that puts people first.
Conclusion: Small Choices, Big Impact
So,
next time you book a ticket, take a breath. Are you picking the easiest option or the fairest one? Try checking for split
fares, comparing platforms, or waiting a bit longer instead of reacting to
countdown clocks and panic alerts. The system may be built to confuse, but a
little awareness puts power back in your hands. And when enough passengers make
smarter choices, the industry has no choice but to change.
Reference list
BBC news (2018). Reality Check: Where does your train fare go? Available at: https://www.bbc.co.uk/news/business-46398947. (Accessed: 20 March, 2025)
Ezrachi, A., & Stucke, M. E. (2017). Artificial intelligence & collusion: When computers inhibit competition. U. Ill. L. Rev., 1775. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2591874. (Accessed: 22 March, 2025)
Jervis, R. (1992). Political Implications of Loss Aversion. Political Psychology, 13(2), 187–204. Available at: https://doi.org/10.2307/3791678. (Accessed: 15 March, 2025)
Zúñiga, N., Jenkins, M., &
Jackson, D. (2018). Does more transparency improve accountability? Transparency
International. Available at: http://www.jstor.org/stable/resrep20498. (Accessed: 18 March, 2025)
No comments:
Post a Comment
Note: only a member of this blog may post a comment.