Table 2: Random numbers and inputs corresponding to parking zones () used to populate the case study, as well as some outputs.

InputsOutputs of the last iteration
; parking spacesSum of on ; shadow priceError;
;
parking load

10.8110.1820.8882,883.224,260.50.008434.112,917.35
20.2690.860.04718,092.818,092.90.62573.1518,095.94
30.3150.7280.56115,889.215,889.30.64296.6815,895.90
40.0740.0320.6435,943.041,578.10.4165163.9136,106.87
50.1350.7360.57727,585.227,585.41.0000365.2327,219.99
60.2080.5690.40321,621.321,621.40.67626.9021,628.15
70.5680.0370.1267,779.840,030.10.014692.067,871.87
80.3670.7860.54113,812.213,812.30.58784.3613,816.60
90.530.560.5398,747.013,147.80.106140.368,787.37
100.0880.5080.20733,436.833,437.00.876313.7033,450.52

Total185,790.56249,454.7730.44185,790.55

Total demand (sum of on and ) is 185,790.55.