Categorisation of Key:smoothness values

[Matija_Nalis]

@rhhs

I would like to start a discussion on how to resolve the divergence between the two categorisation approaches.

While I agree with some (but not all points) above, and I definitely appreciate the effort into improving smoothness tagging, I’ll note that your approach above appears to be extremely car-centric, only ever mentioning one other mobility type, and that one only in passing.

I’ll suggest to be more inclusive to other traffic on wheels: let’s say 20% cars, 20% motorcycles, 20% bicycles, 20% wheelchairs, and 20% everything else (that categorization is far from ideal, I know, but it would at least promote some wider view). So, for example, if each picture has e.g. 40 words describing that specific smoothness, only about 8 words should be car-related (as a general principle – sometimes it might require little less, sometimes little more, but it can’t be only/mostly about cars for whole tag)

@Supaplex030

For urban traffic, a car/motor vehicle is the worst possible “measuring vehicle”, because everything else on wheels in urban traffic (bicycles, scooters, wheelchairs, strollers, inline skates…) requires a finer differentiation in order for the smoothness concept to offer added value for evaluating road quality.

I agree completely with @Supaplex030 here! As I mentioned in the other thread:

@Matija_Nalis

I think that smoothness should be kept as being useful to the most sensitive vehicle that still can still use that surface, as it means the most difference there.

For example:

• if you drive SUV, you don’t really care very much whether it is good or excellent smoothness of that surface=asphalt. But if you use roller blades, you do care. So the difference between good and excellent should be based primarily on rollerblade users, not SUV users (or other less sensitive vehicles).
• Same for other values, e.g. intermediate vs bad is mostly interesting to about trekking-class bicycle users - it is not interesting for e.g. rollerblade users (as they can’t really use that surface anyway), and it is not really interesting to e.g. tractor users (as it doesn’t make a difference in their lives at all). While SUV is somewhat affected there, that effect is much less then the effect for trekking bicycle user; so in that specific example trekking bicycle user should be the one for whom the difference between that two smoothness values is primarily focused on (as they are about the most sensitive to that specific difference).