Tagged with inequality

Why map data sometimes matters

I was contacted recently by a parent campaigning for a local school to ensure its admissions policy is properly applied. Over-subscribed schools like this one are a common source of frustration and worry up and down the country.

Here’s the rub. Which of these two homes would you say is closer to the school, and therefore more likely to secure a place?  By the way, I’m not sure that the location on the left actually is within the catchment area, it’s just a place I randomly chose to illustrate the coming point…

Routes to the school from two locations using CloudMade maps, the home on the right wins by 500m.

Parents at the location on the right were told they were too far from the school. The method they use to calculate safe distances to the school actually suggests that the location on the right is farther away than the location on the left!

Why?

Because they are calculating distances using a model that measures the distance as if you are driving a car. If you try that, you get a totally different result:

Routes plotted for cars to get to the school, the home on the left wins by 400m.

The school’s model uses the Ordnance Survey ITN maps, and apparently doesn’t account for this short footpath at the end of one road. It was pedestrianised 25 years ago.

Happily OpenStreetMap has all the relevant data (and a few minor corrections the parent, Jasia, pointed out to me) so anybody can plot the route to prove the point.

Incidentally, if you fancy showing your support for this campaign download this letter to the governors, sign it and send it to the address at the top of the document.

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Are minor points of interest poisonous?

Coverage of “points of interest” in OpenStreetMap is a point of pride for many mappers. Our maps have much richer detail than commercial competitors, they provide endless handy data for mashups, and as a consequence have been a big focus of mapping party efforts in London.

But should we really be so keen? I’m not so comfortable for two reasons.

First, how up-to-date is our data? I’ve recently re-surveyed my local area in minute detail and found several takeaways, shops and banks that have closed down or changed hands. I’ve also discovered that we have very poor coverage of cycle parking in Southwark following two years of massive expansion by the council.

How likely is it that these are being regularly checked and updated? I suspect “not very likely at all”, and have therefore decided to delete all my points of interest in my local area that I’m not confident anyone will update. I mostly deleted minor shops, especially those like hairdressers that change a lot and that aren’t very important to know about. I’ve left all the amenities like banks, post offices, cycle parking and pubs.

My second concern is that the completeness and up-to-dateness will vary according to the number of active and nutty OpenStreetMappers in the area. And that tends to translate to affluent areas.

In their useful paper on the “completeness” of OpenStreetMap, Muki Haklay and Claire Ellul issue this rather stark warning:

“The large number of contributors for applications such as OSM or Google Map Maker might convey the false impression that [they] represent a real democratisation of geographical information collection, whereas the reality is that these many voices are coming from the more affluent and naturally empowered sections of society. This cacophony is likely to be silencing the voices of the marginalised and excluded even further.”

As I have auto-traced buildings in deprived parts of Southwark from Ordnance Survey StreetView tiles and sporadic re-surveying, I have noticed the very patchy and thin coverage of points of interest in those areas. Probably half the churches and schools are marked with nodes (no ways describing sites and building, though I’ve tried to draw them in) whilst the rest are missing entirely; occasionally there is a smattering of takeaways and convenience stores.

A comparison of allotments with an open dataset from the Greater London Authority reveals a similar pattern (previewed above). Most of those we have missed are in deprived areas. I’ll be revealing more work on completing our allotment coverage soon, courtesy of some help from friends and contacts in various local/regional government departments.

Muki and Claire suggest public agencies should step in to improve coverage in deprived areas, but that requires a high level of committment to OSM from those agencies. Currently we are in the very early stages on this front in the UK.

Given all of this, I would be interested to hear what other OpenStreetMap contributors and followers think. Should we bother with minor points of interest like hairdressers and takeaways until public agencies step in? Is it better to leave them out to avoid a database full of out-of-date information that only increases inequalities of coverage?

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Are the new new Right in this together?

February feels a distant memory. Back then, the Conservative Party released a report called Labour’s Two Nations, attacking Labour’s 13 year record on inequality. Britain had become (they suggested) a society of low taxation on the rich and high marginal rates on the poor; under Labour, risky personal lending inflating a housing fantasy replaced prudent saving and improving housing affordability.

So do the Conservatives now care deeply about inequality? Darren Johnson put the London Assembly Conservatives to the test this week, proposing that the Mayor of London implement Cameron’s policy of a maximum 20:1 pay ratio in the Greater London Authority group.

Here’s the response of the Conservatives:

In case you’re fooled into thinking that Darren and the Greens are ignoring the low paid, read Darren’s arguments in The Guardian. If we’re all in this together, shouldn’t government bodies ensure that the lowest paid receive a living wage whilst preventing spiralling pay at the top of the scale?

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