Think Airports Are Chaotic? You Are Right.
jonfromspace writes "Nature is running a brief, but interesting article on Chaos Theory, (as opposed to KAOS) and how it relates to that damn airport shutle service. I knew there was no way to predict arrival times with any degree of certainty. >Also worth a read is this paper on applying Chaos Theory to fisheries management."
The distinction is important though; when you talk of 'chaotic airports', you're talking of the entire system as a whole:- luggage screening, plane scheduling, passenger movements etc. Dr Nagatani's paper talks about none of these; it merely suggests that the reason shuttle buses (and elevators) appear to come together, or none at all, is chaos.
I can understand where Dr Nagatani is coming from on explaining bus (and elevator) frequencies, but am intrigued by why it is a "problem" (as in user-level problem, not physics problem, if you get what I mean) in the first place. Okay, so the bus comes at 09:23 and not 09:15... big deal. It is merely a matter of managing passenger perceptions.
More to the point, can anyone explain why this would be inefficient for the system as a whole?
More than mere navel gazing.
I remember during the late 1970s you could sometimes find OJ Simpson flying through the airport like Superman.
Look at the publication histogram at the bottom of this ResearchIndex citation query for 'chaos'
Think slashdot moderations are chaotic? You are right!
Perhaps this could be extended to other services; Douglas Adams once referred to the Greek ferry timetables as "the greatest work of fiction known to man", and others have drawn the same parallel to British Rail timetables...
Regular bus commuters might be familar with the phenomenon where buses tend to come in groups - often in threes. For example, instead of 1 bus every 10 minutes you get 3 every 30 minutes.
Why? My theory is that as the system becomes crowded, a bus will be delayed by having to pick up and drop off extra passengers. As it gets slower, two things happen:
People have to wait longer at the bus stops. This causes the first bus to have to deal with a greater number of passengers, and makes the bus slow down even more.
The bus behind it starts to catch up. This occurs partly due to the slower speed of the first bus, but is amplified by the fact that as the second bus gets closer, there will be less passengers waiting at the stops, thus allowing the second bus to travel even faster.
The solution would be for the first bus to deliberately miss stops wherever possible so as to keep some distance between it and the next bus, and to even up the passenger load.
This kind of reminds me of the book, where the starship Bistromath operated off of the times and operations in an Italian restaurant.
yeah and talk about that old lady that can ...
hardly carry her bag with a does niffty clothes
and shoes she's never going to all wear on
her trip anyway (don't you jst love travellers/
tourist who can't carry there baggage because
it's too heavy?).
or the drunk guy spilling his beer on fellow
passengers willst bording the bus.
or the other woman who brought her little dog
along and after bording, uuh, has to suddenly
go take a pee.
or that other guy who just so happend to have
lost his wallet.
or another guy who doesn't have small change but
a 50 dollar/bucks bill.
oh, and uuh, the bus had a flat tire.
please add your example [here]
so much to chaos. the humane sytem is promoting uniformaty, sorry.
I don't see anything unexpected in the report. In particular the statement "When the loading parameter is larger than a threshold value, each bus carries a full load of passengers throughout its trip" means "if more passengers want to use the service than the buses can carry, then the buses will be full and the queues of passengers will get longer over time". This is a standard result of queuing theory as well as being common sense.
Ok, I have to say it...
My airport has always been a Chaotic Evil Thief.
my apologies to D&D
it will.
I eat my grapes at room temperature, cuz the cold ones hurt my teeth