> comments by WDS
> 
> 1. I think using utility=-distance
> is not as realistic as something like
> utility=1/sqrt(1+distance^2)
> 
> I claim the latter is more realistic both near 0 distance and near
> infinite distance.
> 
> 2. It has been argued that L2 distance may not be as realistic 
> as L1 distance.
> L2=euclidean
> L1=taxicab
> 

Suppose that the "candidates" (i.e.alternatives) are possible locations for a 
building, and that the 
inconvenience of each alternative for each voter is proportional to the 
distance from that voter's residence 
to the location, or simply the time it takes to get there.  The taxicab 
distance would be a natural metric 
in this situation, but I don't see utility = 1/(1 + distance^2).

If I were a voter in this situation, my sincere rating for an alternative at 
distance x would be

  r=(D-x)/(D-d),

where D and d, respectively, are the distances to the respective alternatives 
furthest and nearest to me.

I don't see how that could come from normalizing the suggested utility of u = 
1/(1+x^2) .

Forest
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