How might this prove useful in a parallel industry

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Reference no: EM131738261

Productivity = Number of passengers/ Number of flights

Productivity (Month prior to schedule change) = 8,795/16 = 549.68 = 550

Productivity (After schedule change) = 15,653/25=626

Change in productivity = (626-550)/550 = 0.1382 = 13.82%

There is 13.82% increase in productivity this may be due to holiday travel such as Thanksgiving or Christmas. The positive change would be more revenue due to tickets sold and seats filled by passengers. If this is the case the negative would be after the holidays, flights would most likely go back to normal changing the schedule to something similar to 16 flights and 8,795 passengers.

Question

How might this prove useful in a parallel industry, let’s say high-speed rail service? Please discuss in terms of output per train car, labor costs, cost to operate per passenger, and even a total number of passengers that could be put into the train. This might require you to do some research high-speed rail or commuter train traffic (in Chicago or New York City). This may help you frame your response too and we are talking cross-country. Maybe, a smaller area across a state. (Example, the idea of high speed rail from Des Moines to Chicago or Des Moines to Kansas City.)

Reference no: EM131738261

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