Tag Archives: Sustainability

My politics of ecology and justice

Following my previous blog post about the Young Greens and lots of discussion with friends and fellow party members, I want to set out clearly why ecology defines my philosophical basis rather than social and environmental justice.

To avoid misunderstandings from the outset, I think social and environmental justice are important, but they don’t define my political philosophy.

The new philosophical basis of the Green Party says:

A system based on inequality and exploitation is threatening the future of the planet on which we depend, and encouraging reckless and environmentally damaging consumerism…. The Green Party is a party of social and environmental justice, which supports a radical transformation of society for the benefit of all, and for the planet as a whole.

This sounds great! What could be wrong with that? I hope I might persuade you why I don’t think it is quite right, or at least encourage more thought and debate about political philosophy and the precise meaning of different terms. Continue reading

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OpenEcoMaps is back!

OpenEcoMaps, eco-living maps using OpenStreetMap data, is now working again. Hooray! I decided to sit down and work out why the OpenLayers interface wasn’t working and it turned out to be quite simple to fix.

You can now browse around maps of low carbon energy generators in London, veggie restaurants in Edinburgh, allotments in Exeter, recycling facilities in Glasgow and more! The data is updated every hour, direct from OpenStreetMap, and is available on maps and downloadable/reusable KML and GeoJSON files. The code is also in Github, so you could set-up your own version for another country if you like.

OpenEcoMaps is back!

There are still some of the layers that aren’t working because the underlying data isn’t being extracted from OpenStreetMap properly. But I’m very glad that, after well over six months with it completely broken, the web site basically works again!

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OpenEcoMaps halfway back

For almost a year now, my pet project OpenEcoMaps has been broken. The vagaries of unreliable XAPI servers meant the system couldn’t download OpenStreetMap data to create all the KML files, and (I think) some changes to OpenLayers meant the web maps also stopped working. It has taken me a long time to work up the energy to fix these.

Today I can happily say one half of the system is now working again, and the underlying code is much improved.

OpenEcoMaps halfway back

OpenEcoMaps KML files, and now GeoJSON files, are being created again. Hooray! I switched from XAPI to the Overpass API; grabbed JSON which enabled me to write a more powerful function to turn this into usable objects (for example building a complete Python object for an allotment merging data from relevant nodes, ways and relations); wrote a new library to create GeoJSON files; refactored everything else to fit with these changes; and made numerous other small improvements.

You can browse, download and use the KML files and GeoJSON files with those links. To see an example, look at this KML file of low/zero carbon energy generators overlaid on Google Maps.

Now I just need to fix the web maps so you can see the lovely features on the main web site, and so people can easily embed the maps on their own web sites. I did dabble with using Leaflet before Christmas but I got stuck trying to get the icons to match styles defined in the GeoJSON file. I had a quick look at the OpenLayers code and quickly decided I had better things to do with my time! If anyone fancies giving it a go, the code is all in Github and is all released under the General Public License.

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Analysing Southwark’s natural geography

Following my map of London’s green and blue infrastructure, I have been working on some analysis of the land uses.

I was inspired and encouraged to try this by Liliana’s interesting work called “imagining all of Southwark“. Lili and Ari have managed to get the council to release lots of data on properties and car parking, and they are producing analysis of this data by postal code area and by street. They haven’t managed to get anything on land uses, so I thought, why not produce this with OpenStreetMap data?

A few evenings later, here is the result shared on Google docs (direct link) covering the eight postal code areas that between them cover most of the borough (SE1, SE5, SE15, SE16, SE17, SE21, SE22, SE24):

What the data means

The “summary” worksheet shows the total land area, expressed in hectares (10,000 m2), for various different types of land coverage. I have also calculated the percentage of that postal code area that the land uses represent, which gives an interesting insight into the differences between the areas.

Some of the land uses will overlap, for example miscellaneous bits of green space are often mapped on top of residential areas. So the numbers aren’t supposed to add up to anything like 100%.

The spreadsheet also contains worksheets for each postal code area. These contain a dump of all the objects in OpenStreetMap in those postal code areas, and this is the raw data the summary spreadsheet uses to get the totals.

Flaws in the data

You should use this data with a large spoonful of salt. Here are the significant flaws I have noticed:

Postal code areas are approximate, for example the boundary between SE15 and SE22 should mark the boundary between Peckham Rye Common (SE15) and Peckham Rye Park (SE22). In my data both the park and the common show up in both of the postal codes, because the boundary isn’t quite right. Read down to my method to see why. The errors introduced are pretty tiny in most places (plus or minus a few meters along the full boundary), and probably cancel themselves out for big land uses like residential, but they probably also introduce some significant errors for parks where the boundaries go awry by 20-30m in places. Sadly there aren’t any accurate open data polygons I can use.

Data is missing because OpenStreetMap contributors haven’t mapped it. Of course the easy solution here is to get more of it mapped and up to date! My estimate of the different types is as follows:

  • Allotments: complete for the whole borough.
  • Parks and commons: all major and district parks complete.
  • Misc green spaces: very poor coverage of, for example, large areas of grass on estates, especially in SE5, the north pat of SE15 and SE17.
  • Woods/forest: all major woods complete, coverage of big clumps of trees e.g. on a housing estate or in a park is very uneven.
  • Residential: complete except for SE16.
  • Industrial, retail, commercial: large areas are complete, but small shopping parades, industrial parks and rows of offices are very patchy.
  • Brownfield/construction: patchy across the borough and sometimes out of date as sites are built on.

Data is also sometimes missing because of flaws in the Geofabrik shapefiles, not all of which I have corrected. For example, I noticed they were missing commons so I manually added those in, but I may have missed other land uses. One major omission, a shame given the interest in them, is the humble sports pitch/playing field.

How I produced this

After a lot of experimentation – I’ve never been trained to use GIS tools – I worked out this method. If you know of an easier way I’d love to hear about it.

  1. Prepare the boundary data:
    1. Extract a polygon for the London Borough of Southwark from the OS Boundary-Line data.
    2. Download the OS Code-Point-Open data, open the spreadsheet for the SE area in QGIS and use the ftools ‘Voronoi polygons’ plugin to infer polygons for the postal codes from the centroids. Post code centroids are very dense in the middle of residential areas, so the boundary between SE15 4HR and SE22 9BD is only going to be out by a few meters, but are quite far apart with large parks and commons, so the inferred boundaries get less accurate in those areas. See this map for an illustration of the Peckham Rye Park / Common problem mentioned above.
    3. Merge together postal codes into the areas (e.g. SE22 9QF, SE22 4DU etc. into SE22) by quering the shapefile for all objects with postal codes starting with SE22, then using the mmqgis merge tool to merge them into single polygons. Clean up the attributes so the shapefile just has one attribute for the correct postal code area.
    4. Clip the postal codes by the Southwark polygon and save the result – finally – as the postal codes shapefile for Southwark.
  2. Prepare the land use data:
    1. Download the  OpenStreetMap shapefiles from Geofabrik for Greater London.
    2. Download common and marsh ways/relations using the Overpass API (with the meta flag on), import the data into QGIS using the OpenStreetMap plugin, and save the data as a Shapefile.
    3. Merge together the Geofabrik natural and landuse shapefiles with my Overpass-derived shapefile into one land use shape file using the mmqgis plugin.
    4. Clip the land use file by the Southwark polygon and save the result – finally – as the land uses shapefile for Southwark.
  3. Produce the postal code stats; for each postal code:
    1. Select the postal code, and clip the land use layer to that selected code, saving it as a new shapefile.
    2. Open that shapefile, then save it in a new projection that will be in meters rather than degrees (I used  EPSG:32631 – WGS 84 / UTM zone 31N).
    3. Open the new shapefile, then run the ftools ‘Export/add geometry columns’ tool (in Vector/Geometry Tools) to add two attributes to the objects for the area and perimeter.
    4. Save the layer again as a CSV file.
  4. Produce the stats for the area of each postal code so we can calculate % of the area as well as ha for each land use:
    1. Save the Southwark postal codes polygon in the meters projection, add the geometry columns, and save as a CSV file.
  5. Collate all the data
    1. Tidy up and copy the data from each CSV file into a spreadsheet, then add in the formulae to tot everything up. You’re done!

For reference, some of the totals in the summary work off more than one land use type so here are the categories and the corresponding OpenStreetMap tags:

  • Allotments – landuse=allotments
  • Parks and commons – leisure=park / leisure=common
  • Misc green spaces – landuse=conservation / landuse=farm / leisure=garden / landuse=grass / landuse=greenfield / landuse=greenspace / landuse=meadow / landuse=orchard / landuse=recreation_ground
  • Woods and forest – landuse=forest / natural=wood
  • Residential, industrial, retail, commercial, brownfield, construction – corresponding landuse tags

Future ideas

One obvious improvement would be to get more data in. Perhaps this first analysis will encourage people to help out with that? I have also emailed Geofabrik about the flaws I have discovered in their shapefiles, so I hope those get fixed.

Another thought is to produce the stats by council ward. But given that there are far more wards, I’d like to find a quicker way of producing the stats for each ward (step three above) first.

It would also be interesting to do it by town/suburb, for example comparing Peckham to East Dulwich. But we don’t have any meaningful boundaries for those natural areas. It would be really interesting to do a mass version of “this isn’t fucking Dalston” for a whole borough, using the Voronoi polygons method to infer areas from surveys at thousands of locations around the borough. One day…

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London’s natural geography

I’ve been playing around with open data from OpenStreetMap and Natural England to make a pretty map of “green and blue infrastructure” in London. Here’s the result:

You can download a PDF version suitable for printing here: natural_london.

I’m pretty happy with the result, my first real attempt to produce something useful with QGIS. The data I used was:

There’s no reason the Natural England data couldn’t be manually added to OpenStreetMap, giving us a complete dataset of natural features. I just chose to get on and do it this way rather than wait, or try to add all the data across areas of the city I don’t know well and am not going to visit any time soon. I also didn’t really need to use the Ordnance Survey data for boundaries, but it’s slightly more accurate and complete than OpenStreetMap data.

The map is probably missing lots of smaller patches of green space, including grass verges, green roofs and biodiverse brownfield sites. The biggest omission is the humble private garden. They cover 24% of London’s land!

But the map at least shows the more obvious, visible, public green spaces, and is a nice example of what a geek with no GIS training (but years of playing with OpenStreetMap) can do with free software and free data these days.

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Green doesn’t need to mean gentrification

Jim Gleeson has an interesting blog entry about the consequences of making a city more liveable. In short, there is a danger that making an area more liveable can price out lower income people. By reducing air pollution and generally improving the local environment in more deprived areas,  richer people will start to move in displacing the people who should have benefitted.

His prescription is more housing supply to accompany environmental improvements. But we need to think a bit more carefully about this to get the medicine right for places like London.

As he points out, the economic benefits of making an area more desirable will largely go to existing home owners and landlords as the value of the land, and therefore the rent they can charge, increases. Lower income people will be forced to move, presumably (according to Jim’s argument) to less liveable areas. Council and housing association tenants who are secure in their homes gain a nicer environment, but they have no direct stake in the increased value of the land their homes sit on.

Building more homes as Jim suggests could help to keep prices down, meaning less of a windfall gain for land owners and possibly more stable rents. But in practice, due to London’s policy of “mixed and balanced communities”, deprived areas tend to see council housing demolished and replaced overwhelmingly with housing for sale in order to “balance out” the social “mix” of people in the area. There’s no way anyone with an average income and average wealth would be able to buy a new flat in most areas of London on the open market.

The flats will be bought by wealthier-than-average people, and probably many then let on the private market, with a good number of those subsidised by housing benefit. So while more supply might dampen the economic consequences of making an area more liveable, and while it might spread the wealth a little more widely, the economic benefits will still mostly go to wealthier people.

You would need to increase house building across London to 50% higher than Boris Johnson’s aspirational target just to stabilise prices. It would be interesting to know whether there is enough spare land and available development finance to raise supply levels high enough in order to gradually reduce prices so that the benefits of new homes would be principally accrued by ordinary Londoners.

But there are other ways in which we can reduce unequal access to nice local environments while maintaining or reducing levels of economic inequality. Housing supply is undoubtedly part of the picture, but policies need to be a bit more sophisticated to achieve this aim.

One simple policy would be to try to build lots more council housing in wealthier areas that already enjoy high environmental quality. That would require a government to reinstate an adequate housing capital budget; the new budget for London in 2011-15 is two-thirds lower than than the budget for 2008-11!

Another would be to ensure all the new housing is put into the control of a Community Land Trust, which owns the land and so can keep homes permanently affordable. Members of the Trust, usually a co-operative, use any rise in land values to benefit the local community and not private individuals. To date, there is only one example of this in London – Coin Street. Despite valiant efforts and credible plans from various other communities, the HCA, GLA and government have done little to make this concept happen.

A third more radical solution – radical as in dealing with the root of the problem (from radix, Latin for ‘root’) – would be to bring back taxation on land. Winston Churchill and Lloyd George both tried, and failed, to do this at the turn of the 20th century. They were blocked by wealthy landowners in the Lords, whose ancestors got rid of them as the power of the Crown diminished.

We have a tax system that raises income off hard work and consumer goods, and that leaves people to rake in huge gains from increases in land values and capital gains with comparatively little or no tax. If we brought back “schedule A” taxes, land values wouldn’t rise so much, the benefits could be clawed back for investment in affordable housing, all local residents could therefore benefit including council tenants, and people might be encouraged to invest their savings in productive stocks and shares rather than dead bricks and mortar.

These solutions have all been applied in the not-too-distant past. But as with the debate over the National Planning Policy Framework, they seem to get overlooked in simplistic debates over false choices like “housing supply vs. conservation”.

Jim’s post is much more sophisticated, looking at the relationship between environmental improvements and the housing market. But his prescription – more supply – needs to be equally sophisticated to ensure that we deliver environmental and social justice side by side.

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Young people should be wary of the Government’s planning bonfire

I have noticed a lot of young people enthusiastically supporting the Government’s proposals to radically cut down planning regulations.

They join in attacks on groups like the National Trust and Friends of the Earth, calling them wealthy NIMBYs who are protecting their own over-inflated house prices. They buy into the suggestion that the planning system has held back house building, harming a growing proportion of the current generation of young people who are now “jilted”, priced out of home ownership.

Is this right?

I don’t think so. In fact, I believe the Government’s proposals are bad for young people, and bad for intergenerational justice.

Is planning the problem?

There can be no doubt that planning regulations are a drag on housing development, adding both the cost of the buildings themselves and the process of putting them up. But that’s like saying that the minimum wage and gender equality laws are a drag on business. They may be, but they’re regulations we value.

The evidence that the planning system is a bottleneck is weak. According to London Councils there are approximately 170,000 homes in London’s planning system with permission that aren’t currently being built – the constraint being scarce mortgage finance caused by the credit crunch and high land values.

In London Ken Livingstone used the planning system to force reluctant councils to build more houses, and increased output by almost 50% in a decade, though it was still about half the level required to stabilise prices through supply. Boris Johnson has continued with this approach, albeit with more of an emphasis on negotiation than force.

Would the private sector build more homes without the planning system? The only time in the past century that the UK has seen house building match demand, and kept housing affordable, was when councils built in huge volumes from the 1950s to 1970s.If you think price bubbles are all about supply, explain the continued volatility of house prices through the 1950s, 60s and 70s. The big home builders have little incentive to build large volumes and deflate the value of land, and never filled the gap when we stopped councils building in the 1980s. Have we given up hope of persuading the public to back large scale public house building?

Figures from the Department of Communities and Local Government.

The Government’s main reform is to radically simplify planning regulations. Are the regulations and guidance the problem, or are we overlooking the understaffed local planning authorities and unduly complex or slow processes?

Actually the biggest obstacle to building more housing is the cost of land. Unless we threw away any protections for the green belt and farm land that take up most of our country, or accept much higher density levels across the board, it will always be too scarce a resource for supply to match demand. There can be no doubt that we need policies that reduce the value of land, or at least contain the rises in land values (which are in fact the underlying reason for rises in the prices of existing houses).

Planning consent for housing transforms the value of farm land and brownfield land, so the argument goes that presumed consent would somehow help. I’m not convinced it would, and anyway we could call for proposals such as councils auctioning off land and using the planning gain to fund affordable housing.

Do we need to reduce planning costs as well as tackle land values, pushing for every tool in the box to be used? Is it simply that the current Government is serious about reducing planning costs, but that no minister since Lloyd George has shown a serious interest in reintroducing land value taxation?

Isn’t planning a solution?

My greater worry is that young people are forgetting the benefits of a detailed planning system.

If they are concerned with intergenerational equity, what greater disaster for the current youngest and future generations can there be than climate change? Successive governments may have failed to keep housing costs in check, but that failure pales into insignificance when we consider that decades of hot air on climate change policy have failed to even slow the global rise in greenhouse gase emissions.

The planning system is central to mitigating and adapting to climate change.

Without tough and highly prescriptive planning rules on car parking, road layouts, renewable energy and a long list of other policy areas, councils will continue to allow development that is incompatible with reducing emissions to a sustainable level. Labour failed to go far enough with the planning system, and just as excellent new rules on renewables were ready to be introduced, this Government has decided to scrap the lot and introduce some vague aspirations through which anti-green councils (being the majority in England) will drive a polluting coach and horses.

Can you see every council in England and Wales deciding that “sustainable development” requires a reduction in car traffic, fewer car parking spaces and proper provision of cycle routes?

Allowing people to convert offices into homes without planning permission could damage jobs and lead to the worst type of housing being built, without any regard to considerations of size or quality.

Protecting the green belt and farm land is important for climate change adaptation, not only in terms of protecting habitats (if only all farms were managed well) but more importantly for food security. It’s a long time since the UK was self-sufficient in food, but there are a number of pressures on food prices that will only get worse in the years to come: global population growth and an increase in per-capita demand for meat from grain-intensive cattle; oil prices that will only go in one direction long term, which not only fuels machinery but is also the basis for fertilisers and pesticides; and longer term the potential loss of many of the world’s bread baskets due to climate change taking hold.

We need to keep all the land we can for food production, so that future generations have a chance of keeping a high level of domestic food production using systems such as permaculture and aquaponics. This isn’t science fiction, the new London Plan even begins to discuss this concern.

The planning system can also help redress longstanding integenerational iniquities, such as requiring councils to plan for extra social housing (council and housing association housing) in wealthier areas, and ensuring that homes are always built with decent sized rooms (something this Government has reversed to simplify regulations).

These and other provisions could still be enshrined by more enlightened councils in the new slimmed down system, but they could be challenged if they stood in the way of building lots of houses and promoting economic growth. The benefits of will largely go to property developers and income rich people who can buy houses.

My suggestion to fellow jilted youth

By all means call for planning regulations to be streamlined where they are excessive, and to force NIMBY councils to permit more house building. Challenge conservation groups where they block the development of decent housing in areas that desperately need it, and where the justification is weak or self-serving.

But please don’t support this regressive Government in its efforts to tear up the planning system in the name of misdirected growth. The critics aren’t hysterical, hypocritical or self-serving; the concern is genuine and justified.

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Announcing OpenEcoMaps to geeks

I’m happy to announce that OpenEcoMaps is now stable and ready for use, albeit with a few wrinkles that I hope some more able hackers can help me iron out. OpenEcoMaps takes data about “eco” (green / sustainable) features stored in OpenStreetMap and turns them into KML files that are shown as overlays on the map, making it easy for people to find out where they can get a vegetarian meal, forage some wild fruit, spot a solar panel, recycle a can, pick up a car club car, or spend some money in a cinema.

You can use these KML files on your own map, or in Google Earth; you can embed the OpenEcoMaps map in your own web site; or you can just browse around the site.

At the moment there are packs of overlays for London and Exeter, but I can quite easily add other local areas with any combination of the features. I can also add in new features, they’re just little chunks of Python code to specify how OpenStreetMap tags are interpreted. Leave a comment if you want something in your area – I need a bounding box, the title for the area, and a set of layers specifying the title for the layer and the features you want in it.

I’ve been waiting for a reliable XAPI service before launching, and thanks to Mapquest I’m now able to say – use and abuse it!

Most of the data was added by various OpenStreetMap mappers over the years, it’s really fun to pull out something you think is very niche and find how much we already have in the database. But I’ve also been sourcing open data from organisations like the GLA and Southwark Council, particularly for renewable energy installations and food growing spaces. What’s interesting is finding out just how little these public bodies actually know.

Over the summer I’ve got a few events with food organisations where I’m going to present the project following my work with the council, the GLA and Sustain. That will be a nice opportunity to see how usable the average citizen finds the web site, and how useful it really is to them.

There are still a few features I think it needs before announcing it to networks of local green groups like Transition Towns. So if you’re a geek interested in this project please have a look at the TODO list on github and get stuck in.

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How are we going to insulate London?

As another flurry of snow hits the office windows here at City Hall, we’ve put the finishing touches to a video by Darren Johnson investigating the future of insulation in London (and the reasons why over a million homes are still bleedin’ cold!)

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Might eco-nagging encourage more shopping?

Here’s another reason not to try and terrify people out of conspicuous consumption, aside from the basic flaws in the “eco angel” approach and recent evidence that moralising is putting people off ethical consumerism.

Some interesting research by Swiss psychologists found that warnings about death has the ironic effect of making some smokers want to smoke even more! The reason? They derive a self-esteem boost from smoking; warnings about death sent these smokers to a trusty source of self esteem to overcome that downhearted feeling – death-bringing cigarettes!

So next time you tell someone that buying too much crap might cause planetary collapse, it’s fairly likely that your nasty nagging well send them running for a standard Western self-esteem boost: shopping.

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