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big blue computation

simulation to optimize rubbish bin placement
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Most rubbish bins I see are placed in such a way that if the rubbish misses the receptacle then it ends up in the park edge or waterway.

I suggest using a computer modelling to try and pin down the best placement of rubbish bins as to gather as much refuse and make the least stain.

Factors: bin type, weather conditions (winds), traffic, local shops and even primary school race days.

I like great tasting fish and chips and want it to stay that way.

wjt, Mar 16 2010

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       This is a specialization of the general idea of using computer modelling in town planning. Which is in itself a good idea and much better than the current method which seems to involve throwing darts at a local map and saying "That'll do".
wagster, Mar 16 2010
  

       Shirley the solution is to remove all the bins for one week, and then replace them wherever there is the most litter?
MaxwellBuchanan, Mar 16 2010
  

       You'd have to do it when there's no wind, or else the bins will all end up tucked away in corners where the wind eddies.
wagster, Mar 16 2010
  

       Max, I'll send you out to bag the data and plot positions.   

       A bin in the middle of that creek, you say.   

       [wagster] maybe, a specialized wind bin for those really grubby corners.
wjt, Mar 17 2010
  

       An obvious application for "flocking road cones" technology; migratory bins.
8th of 7, Mar 17 2010
  

       "best placement of rubbish bins", could read:   

       "Best placement and _Form_ of rubbish bins"; I'm convinced the shape of public rubbish bins (trash can in US English) determines how much they are used.   

       Come to think of it I've never seen one shaped like an erlenmeyer flask / \, it would hold so much more trash between emptyings and would require only an erlenmeyer flask shaped trash can liner bag to work. The next thing is to make it pretty.
beanangel, May 07 2021
  

       How about a trash clearing robot decorated with a permanent look of disapproval?
Voice, May 07 2021
  
      
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