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Fare dealing

Remind me again: what’s the purpose of opening up all this public data?

Ah yes, that’s it. To create value. And you can’t get a much stronger example of real value in the real world than showing people how to save money when buying train tickets.

Fare pricing is a fairly hit-and-miss business, as you’ve probably noticed. We don’t have a straight relationship between distance and price. Far from it.

The many permutations of route, operator and ticket type throw up some strange results. We hear of first class tickets being cheaper than standard, returns cheaper than singles, and you can definitely get a lower overall price by buying your journey in parts, provided that the train stops at the place where the tickets join.

The rules here are a bit weird: although station staff have an obligation to quote the cheapest overall price for a particular route, they aren’t allowed to advertise “split-fare” deals, even where they know they exist. Huh?

Why this distinctly paternalistic approach? Well, say the operators: if a connection runs late, your second ticket might not be eligible, and there might be little details of the terms and conditions of component tickets that trip you up, and, and, and…well, it’s all just too complicated for you. Better you get a coherent through-price (and we pocket the higher fare, hem hem).

There’s no denying it is complicated. Precisely how to find the “split-fare” deal you need is a tiresome, labour-intensive process of examining every route, terms and price combination, and stitching together some sense out of it all. And, indeed, in taking on a bit of risk if some of those connections don’t run to time.

You might be lucky, and have an assistant who will hack through fares tables and separate websites to do you that for you. But you’d be really be wasting their time (and your money).

Because that sort of task is exactly what technology is good at.

Taking vast arrays of semi-structured data and finding coherent answers. Quickly. And if there’s some risk involved, making that clear. We’re grown-ups. We can cope.

There’s no doubt at all that the raw materials–the fares for individual journey segments–are public information. Nobody would ever want, or try, to hide a fare for a specific route.

So when my esteemed colleague Jonathan Raper–doyen of opening up travel-related information and making it useful–in his work at Placr and elsewhere, put his mind to the question of how new services could crunch up the underlying data to drive out better deals for passengers, I don’t doubt that some operators started to get very nervous indeed.

Jonathan got wind–after the November 2011 meeting of the Transport Sector Transparency Board–that a most intriguing piece of advice had been given by the Association of Train Operating Companies (ATOC) to the Department for Transport on the “impact of fare-splitting on rail ticket revenues”.

Well, you’d sort of expect an association which represents the interests of train operators to have a view on something that might be highly disruptive to their business models, wouldn’t you?

So what was that advice? He put in a Freedom of Information request to find out.

And has just had it refused, on grounds of commercial confidentiality.

This is pretty shocking–and will certainly be challenged, with good reason.

Perhaps more than most, I have some sympathy with issues of commercial reality in relation to operational data. We set up forms of “competition” between providers for contracts, and in order to make that real, it’s inevitable that some details–perhaps relating to detailed breakdowns of internal costs, or technical logistics data–might make a difference to subsequent market interest (and pricing strategy) were they all to be laid out on the table. I really do understand that.

But a fare is a fare. It’s a very public fact. It’s not hidden in any way. So what could ATOC have said to DfT that is so sensitive?

The excuse given by DfT that this advice itself is the sort of commercial detail that would prejudice future openness is, frankly, nonsense.

I look forward to the unmasking of this advice. And in due course to the freeing-up of detailed fares data.

And then to people like Jonathan and Money Saving Expert creating smart new business models that allow us to use information like it’s supposed to be used: to empower service users, to increase choice, and to deliver real, pound-notes value into the hands of real people.

That’s why we’re doing all this open data stuff, remember?

Digital by default

As I write this, I’m sitting on a stationary train. In a station. The rail app on my phone tells me it’s the train I want. But the signs on the platform are totally blank. And the guy in uniform on the train doing the uncoupling says he doesn’t know where it’s going.

So, do I believe what the app tells me? Rather than embark on an exercise in Bayesian conditional probability, it’s making me think about that phrase “digital by default”.

Because I’m still not entirely sure I know what it means. Or, even if I do, that I’m seeing it used consistently.

And this experience with the phone app right now is a good reflection of what I think it should mean: that a service has been built, first and foremost, so that its delivery in digital channels is the way that it works best.

–that information in the digital channel is “the truth”.

–that if the train is switched to another platform, the digital channel will be the first to reflect this.

–that train staff will be looking at their own digital devices for information before they look at platform signs, or paper print-outs of departures, or get on the internal intercom to the driver.

That, to me, is digital by default.

An underpinning design principle that the service is supposed to be like this. Not, as has so often been the case, with digital features as a sort of awkward bolt-on after the fact.

I pointed out to a member of station staff a few weeks ago, who tried to stop me, that I was going through the gates to platform 10 because this device in my hand was telling me my train would be there. And I trusted it, at least enough to wait there.

He looked in incomprehension at this device. It wasn’t part of the script. The situation was the very opposite of “digital by default”.

So, apart from this nice, rosy, optimistic definition, what else have I seen it used to mean?

Well – sadly, sometimes as the Mr Nasty of channel-shift enthusiasts: the reason why counter services will be closed, the hammer that will force people to abandon their Luddite ways, the only real means of forcing out cash savings in this techno-progressive world we were told so much about.

And if people don’t want to shift, then tough. They won’t have the option. Default, innit? Capisce? Ok, if they’re really incapable, because of disability or crap connectivity, there’ll be some sort of stop-gap. A bolt-on, if you like. After the fact.

Now, does that sound somewhat familiar?

Or, for a third flavour, how about Mr Nasty’s gentler cousin: the service redesign that still has the closure of non-digital channels at its heart, but attempts to do so by attraction to a better, digital alternative, rather than brute imposition?

The interpretation you hear is connected to the source you hear it from, I guess. These versions all have different political palatability, and provoke different passions in different audiences.

So which do you i) think it really means now? And ii) which one would you like it to mean?

A – a fundamental design principle from the ground up
B – channel shift by imposition and removal of choice
C – channel shift by being more attractive than non-digital

Your answers, below, if you please:

The #tweetbike

Tube strikes…

Inconvenience and disruption…

Localities and real-time information…

Movement and behaviour of people…

All things that fascinate me. It’s got me thinking…

Say hello to the #tweetbike (the one on the left).

tweetbike

The #tweetbike will be heading into London from the south, from around 7.30am. At frequent intervals from Croydon onwards I will stop and tweet its location. I will have with me a med/large helmet and a ‘go over anything’ huge bike jacket that will keep the rain away. And some cool spare supermoto gloves with like carbon fibre knuckles. A shoulder bag is fine if you’ve got one, but a dozen box files will probably rule you out.

If you want a free lift, just say so. Within reason, you’ll get one, if the #tweetbike is near and you’re aiming to go reasonably centrally, or later in the day, southwards. (I might ask for some sort of cheesy picture and your permission to blog in the most discreet terms about the experience, and where I end up, but that’s all there is to it.)

Why on earth am I doing it? Because I like riding bikes, can work anywhere on the move (from the roadside if necessary), and I like people. And disruptions, like large snowfalls, are great times to look at things afresh. Oh, and you could call it research for an idea… :-)

Legal bit: I will ride immensely sensibly (and have 25 years of experience) but all lifts are at your own risk. There is no commercial aspect to this idea. No transaction, nada. You are not hiring transport; I don’t need a taxi licence; and I’m not doing this for gain. I am also not racing, pace-making, couriering or all the other things it says I can’t do on my insurance – I just checked.

All I am proposing is to give lifts to friends who need them, and are otherwise stranded by the Tube strike.

Best case – I get a very interesting day, meet some fun people, and have something to think about.

Worst case – nothing happens and nobody is remotely interested in riding the #tweetbike.

(ok. Real worst case: death and mayhem. Let’s hope not, hey?)