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Specification for town simulation exercise, and data
this example from a Well House Consultants training course
Source code: town_sim.txt Module: U050
# Here are a number of towns with their current populations.
# Each year, a further 6000 people move into the area and they # choose where to live based on the cost of housing, the quality # of railway connection, and the development plans for the area # Chippenham Trains Per hour increased by 1 due to excellent # quality / speed / destinations of services for local residents Chippenham 34000 growth 5.2 150000 Melksham 22000 growth 0.2 120000 Trowbridge 28000 growth 4.2 120000 Westbury 11000 growth 6 130000 # Dilton Marsh has 0.6 trains per hour but figure increased to # 1.6 due to proximity of Westbury Dilton Marsh 2000 growth 1.6 140000 Warminster 17000 growth 3 130000 Devizes 11000 stable 0 150000 Calne 12000 stable 0 120000 Corsham 12000 growth 0 130000 Bradford-o-A 9000 stable 4 160000 Malmesbury 4000 stable 0 180000 # Create tables for each town, bearing in mind that the # desirability algorithm differs for "stable" and "growth" # towns # ------------------ # The desirability factor for a growth town is # current population / house price squared * (6 + trains per hour) # And for a stable town is # current population / house price squared * (3 + trains per hour) # The 6000 newcomers are spread in proportion to the factor # Each year, 1% of the population of each town leaves the area # Each year, house prices in growth towns rise by the town's # growth factor minus 1%. # In stable towns, prices rise by the growth factor squared # plus 2% # ------------------- # Write a program to simulate the rise and fall in populations # over the next 15 years. Learn about this subject
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