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Do we (OSM) have a league table for all countries/ entities (non-countries?), which is based on the quality of OSM mapping in that country?

I ask this question, because I was undertaking a MapRoulette challenge, to help with mapping in Algiers, and although some pockets of excellent mapping existed, it seemed clear that this was very much the exception.

  1. How do we gather metrics, to assess the quality of mapping in a given country, so that quality can be improved?

  2. How do we engage with the ‘local’ OSM community, to perhaps help them to improve mapping?

  3. Can we define a regular (and repeatable) set of MapRoulette challenges, that would enable remote mapping to be carried out, in support of ‘hands-on’ mapping/ surveying carried out by ‘locals on the ground’?

  4. How do we publicise tools such as StreetComplete, to help populate the data/ metadata of a country, in order to build upon the ‘big picture’ data that is gathered?

  5. What are we missing, above?

Please add to this, and edit, as appropriate.

Many thanks,

Chris

Using Gamification to Increase the Use of Footpaths/ Rights of Way, and to Enhance and Validate OSM Data

Написано от chris_debian на 24 юни 2023 на English. Last updated on 2 септември 2024.

I live in Wiltshire (UK), and when out walking, often see public footpaths that have fallen into disuse, and risk being completely overgrown and overlooked by the general public.

Using existing OSM data, I wonder whether lesser used footpaths could be revived; and UK (and beyond?) users encouraged to use paths, for health and wellbeing benefits, and contribution to mapping.

My idea is that this could be gamified. Users of a simple new app, or of functionality added to an existing app, would score points for walking/ wheeling along recognized paths. Different scoring could be used, for example:

*For every 100 yds/ mtrs, or path segment (?), a point could be earned.

*For paths that are used less regularly, i.e., haven’t had a GPS trace for a specified amount of time, could score more points.

*In order to encourage use of the path by a diverse range of users, including wheelchair users, significantly more points could be awarded for these users taking part.

*Points for a successful upload of a recorded GPS track.

The obvious benefits to the OSM community, and users, would be the potential to increase the amount of GPS traces that are uploaded, therefore enabling accuracy checks, and also being able to offer up additional mapping data, perhaps by using apps such as StreetComplete.

An additional benefit in the UK, would be for the Ramblers “Don’t Lose Your Way” project. This initiative is seeking to reclaim footpaths that have for, historical reasons, dropped off the Definitive Map, as Public Rights of Way. As these paths are reclaimed, walkers and wheelers would be encouraged to use the reclaimed routes, in order to earn points; therefore establishing usage and encouraging more people to use the route.

If you have any thoughts around this idea, please comment here.

Many thanks,

Chris.

*** 2 Sep 2024: Update, “MOROW” added to GitHub

Further thoughts on gathering Road Surface information

Написано от chris_debian на 3 април 2023 на English. Last updated on 4 април 2023.

Ok, following on from my earlier writing, I can confirm that I have installed and tried capturing data with both the SmartRoadSense and Roadroid Android applications, on my Pixel 6. Both apps had good points, and ‘areas for development’. I was only able to capture data, submit it, and see it on a map, with Roadroid. My understanding is that I can’t do this with SmartRoadSense, because the app infrastructure is currently dormant, due to EU funding coming to an end, but I understand from the devs, that they are about to reinvigorate the project.

Lars Forslof (Roadroid) is doing some excellent work with his propriety solution, but I think the nature of his objectives, are business oriented, and enables a ‘customer’ to request survey coverage for a defined area, which is then coordinated, at a financial cost.

My main questions/ thoughts now, are:

  1. Is road surface data useful to anyone? I would suggest it is useful for deciding on routing, and can be used under open source terms, to enable interested bodies, such as highway/ local authorities to have an initial understanding of where surfaces don’t meet a required standard.
  2. Is OSM the right place to record the values?
  3. Can the open source community encourage the good people at SmartRoadSense to work with us, or do we need to create a new app, with infrastructure? The algorithm used to process the data is currently closed source. My preference would be to work with SmartRoadSense, and have a backlog of potential improvements, hosted on GitHub https://github.com/SmartRoadSense
  4. Encourage interested users to install the SmartRoadSense APK, and to give feedback at the GitHub address. The app didn’t appear in Play Store, in the UK on a Pixel 6, so I’ve used APK https://m.apkpure.com/smartroadsense/it.uniurb.smartroadsense
  5. I will write to the SmartRoadSense devs, to highlight these thoughts.

What is needed (Requirements capture)? (MoSCoW)

M= Must Have S= Should Have C= Could Have W= Won’t Have

See full entry

Assessing Road/ Track Surface Quality Using a Smartphone.

Написано от chris_debian на 21 март 2023 на English. Last updated on 22 март 2023.

What’s the problem (Bottom Line Up Front (BLUF))?

See my original post, here: https://community.openstreetmap.org/t/lidar-mapping-of-roads/97100/14

Hi, everybody!

Motivated by the state of roads in the UK, I’m wondering if anyone is aware of any Open Source/ crowdsourced efforts to assess the condition of surfaces, and then to map them?

I’m aware of lower cost LIDAR equipment, and I believe that some Apple phones have a LIDAR capability.

I’m thinking of something like Mapillary/ Kartaview. Sensor imagery could be gathered, and then scored appropriately, so severity could be seen. I’m thinking that a 100mm pothole on an unclassified and little used road/ lane, would potentially be of less interest/ lower priority than a 50mm pothole on a major motorway/ autobahn/ freeway.

Obviously, potholes are just one example, other immediate possibilities are subsidence, wear and tear, accident damage.

I’d be keen to hear any thoughts/ feedback. Please add to this page, if you can.

Many thanks, Chris chris_debian UK

What can we do about this?

Road damages create comfort-, environmental- and security problems. Existing measurement technologies are very expensive and can only be used rarely. With smartphones you can measure often or in remote areas.

Regarding ‘mapping potholes’, I expect this to be a layer applied to OSM, not data contained within OSM. It will be open source information, for people that can use it. My thinking being that OSM isn’t a repository for other data, but it can help us gather data, and we may be able to give back to OSM.

What has already been done, by whom?

SmartRoadSense info@smartroadsense.it (seems to be broken), github and APK

Roadroid map

See full entry