grahame
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« Reply #1 on: Yesterday at 07:09:34 » |
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It seems logical to me to include catchment population and scheduled service frequency amongst the factors in measuring the effect of cancellations on passengers as well as the cancelation rate, but my initial algorithm is quite a basic one. I have chosen population rather than journey numbers because journey numbers are heavily influenced by the very lack of an appropriate (reliable and frequent enough) service. Place,population,gap,cancellation,factor Bath Spa,100000,12,3,3600000 Bradford-on-Avon,10000,20,3,600000 Chippenham,40000,30,3,3600000 Frome,25000,50,3,3750000 Melksham,25000,120,6,18000000 Salisbury,45000,30,2,2700000 Swindon,250000,12,4,12000000 Tisbury,2500,60,1,150000 Trowbridge,40000,20,3,2400000 Warminster,25000,45,3,3375000 Yeovil Pen Mill,50000,75,3,11250000
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