Calculating school catchment areas - an open source solution
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| Anzahl der Teile | 351 | |
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| Lizenz | CC-Namensnennung 3.0 Unported: Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen. | |
| Identifikatoren | 10.5446/69092 (DOI) | |
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| Produktionsjahr | 2022 |
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00:00
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Transkript: Englisch(automatisch erzeugt)
00:00
I'm going to talk briefly about school catchment areas. This is a project done in collaboration with UNESCO International Institute of Educational Planning. And I'm on the software development side from this Finnish company, Gispo. And Amalie is the education expert here. And she will be giving a talk this afternoon.
00:23
Anyway, what catchment areas really are, UNESCO are really interested in whether students can actually access schools in a certain area, because it's impossible to know whether a school is accessible by foot or by bicycle and so on. So what we really want is these travel tripologons
00:40
based on some data on how accessible a school is, for instance, by foot in 15 minutes. And luckily, there's an open source tool that we can use for the job, which is called Graph Hopper. And I strongly recommend you check it out. So it basically uses OpenStreetMap data. So you can download OpenStreetMap data from anywhere in the world.
01:00
And in many parts of the world, you also have the footpaths and bike lanes available. So you can just start calculating. It basically calculates the routes on the graph. And so you can easily calculate which areas you can access within, say, 15 minutes. So that's like the tool. But however, educational planners won't necessarily
01:21
be installing their own server and running the calculations through the API. So what we created is a QGIS plug-in to use a Graph Hopper API. So of course, first, you need to have a Graph Hopper instance running somewhere. So either you have to set up the server, or then you can buy it from somebody, the service. But there's now an open source QGIS plug-in
01:42
you can use for accessing Graph Hopper. It's called Catchment in QGIS Plugins Repository. And it's open source in GitHub. You can find it on our GitHub and in UNESCO's GitHub pages. But anyway, the idea is that the user just takes a point layer that they have, and then you can get the distance, and then the profile they want to use,
02:01
whether the students will be walking or cycling or whatever, and some extra options. And then what the plug-in does, it uses the Graph Hopper API to get the polygons, the travel time polygons, to each of the points in the area with the parameters here and gives you the polygon layer in QGIS. So I have time to show you some results, luckily. So on the left, there's results on Jamaica,
02:23
which is basically pretty nice that you have enough Europe Instagram data in Jamaica so that you can really see the catchment area of the schools around Jamaica. So the green areas are the ones where people have access to school less than 15 minutes away. And then the red areas are those where you have to walk for more than 45 minutes
02:42
to get to the nearest school. So this is really nice. And then another image from UNESCO is on Madagascar, where they didn't have enough open-stream of data on the local map, paths and roads to find out school access. So what they did, they actually had an open-stream mapping campaign
03:01
to improve data in this region so that you could calculate school access. And these are the results after the mapping campaign. So you can see it's pretty nice that most of the area is really covered so that you can calculate whether people can access to school in, say, 15 minutes. So, and this, of course, benefits the educational planners,
03:22
but it also benefits the local open-stream community. So it's, in my opinion, it's a nice example of a case where you improve the data and then it might help other people too in the future. And then one final example, which was just my job for the Helsinki Metropolitan Authority
03:41
to calculate transit access. So luckily, the open-stream map data in Finland is really complete. So you have information on all the elevators and even the underground passages and escalators to train and metro stations all around the area. And also, I did some fixes, obviously. But basically, the data was very good,
04:01
so I could just calculate access to the transit platform so you can find out how long does it take from your home to bike to the station and then walk the stairs to the platform underground. And so these yellow dots are the platform exits and then this is like the five minutes area by bike that you can access, so you know.
04:23
So this kinda gives you an idea of the quality of transit service. So it's just an example of how you can use it for other purposes, just educational planning. So I guess I have something like one minute. So thank you, everybody. We are called Gispo, so if you have technical questions
04:41
about the planning or plugin or graph hopper, you can contact us. And then if you have educational questions on education planning, Amelie is the education expert here and she will be talking today in room Onice on all UNESCO projects. So this is just like a technical example of one of those.
05:01
So ask her and ask me if you have any questions. Thank you.