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<br />+ . 112X4i - .088X5i + .-12X6i + .070X7i <br /> <br /> <br />+ .115X8i + .043 (X9 XIO) + .163)(1 <br /> <br />+ .142)(2+ ,180)(3+.112)(4 -.088)(5 <br /> <br /> <br />+ .112X6 + .070)(7 + .115)(8 <br /> <br />. . (5.5) <br /> <br />+ .048 (X9 XIO)' . <br /> <br />Equation II and IF statement A: <br />decision agency need <br /> <br />Equation II: N - CI C2M + C3 CONCL+ C4 <br />PPl1(!. (5.6) <br /> <br />IF stalement Pl: IF N > 0, continue (5.7) <br /> <br />where <br /> <br />PAn <br /> <br />Decision agency need for a plan <br />Plgency mission effect; (O";M"; 10) <br />Mean public concern about flood. <br />ing (from Equation 1); <br />0"; CONC!."; 32 <br />= Willingness to pay for government <br />expendilures by the public: <br />0";PA1(L";24 <br /> <br />N <br />M. = <br />CONCL = <br /> <br />C2, C3, and C4 adjust theweightings ofM,CONCL, <br />and PPl1(Un Equation II (5.6) and are always positive <br />since Ihese variables are considered 10 vary directly <br />wilh N. CI is used 10 adjust Equation II so Ihat IF <br />slatement Pl is leue. Since M, CONCL, and PPl1(L are <br />never negative, this mean that C1 must be less than <br />zero under the constraint caused by IF statement Pl <br />in order for the system ever to be able to stop planning <br />flood control solutions (i.e. make N"; 0). <br /> <br />The value of M was defined as varying from zero <br />to ten and was arbitrarily set at five or a median posi- <br />tion on Ihe scale. CONCL is Ihe output of Equation <br />I and PA 1(1. is one of the independent population vari- <br />ables. CONCL and P A 1(1. are both used as independenl <br />variables in Equation II. ,\II of the values plus the C <br />values and Ihe value of N can be printed out when Ihe <br />simulation model is used. <br /> <br />C2 was set at two, and C3 and C4 were given val. <br />ues of one. C2 was given a greater value than the other <br />coefficients because it was felt from experience that <br />variation over the small range of M, agency mission <br />faclor, as compared 10 CONC!.and P A 1(1. would other. <br />wise underplay an important factor. M was weighted <br />. more to compensate for the smaller range and thus <br />more accurately represent Ihe Iheory behind the equa- <br />tion, although in this case M never varied during use <br />of Ihe model. C2M Ihus became essentially a constant <br />often and reduced the value ofCI thai would be reo <br />quired. <br /> <br />C I was adjusted to make the equalion respond <br />in what was judged a realistic way to variations in <br />CONCLand PPl1(L and to variations in the indepen- <br />denl variables in Equation l. Essentially, the idea was <br />to adjusl CI so that Equation II would become nega- <br />tive only when the variables reflecling public concern <br />and attitudes had values that precluded any need for <br />flood control. These would be circumstances, for <br />example, where little or no communication occurred <br />regarding flooding problems or the perception of <br />flood probabilities became very low. The value cho- <br />sen for CI was .37. Since M, CONCL, and PA 1(1. are <br />all grealer lhan zero, the only way that N can be less <br />than zero is for the absolute value of C 1 to be laIger <br />than the combined values of Ihe other lerms, and for <br />C1 to be opposite in sign. It is thisrelationship of CI <br />10 the other terms thai allows the calibration of this <br />equation by assigning an appropriate number 10 CI' <br />Inserting the values of the con slants in Equation 5.6 <br />gives: <br /> <br />N=-37+2M+CONCL+PPl1(L. . . (5.8) <br /> <br />Willingness to pay for government expenditures <br />(P Pl1(L) was placed in the equation because it is <br />thought that less willingness to pay might reduce the <br />demand for flood control in situations where the con- <br />cern aboul flooding is low. The coefficient of PPl1(L <br />was positive since a higher value of PA 1(Lmeansa <br />greater willingness to pay. <br /> <br />IF slatement Pl provides a poinl for the model <br />to end its analysis. If there is enough concern over <br />the flooding problem to cause eSlablishment of a flood <br />control agency, it is unlikely that the problem will <br />ever be so completely solved thai no more effort will <br />be needed I 0 or thai public concern about flooding <br />will become so low as to oppose all further plans for <br />flood control. An N greater than zero signifies cir- <br />cumstances that allow an agency to consider flood <br />control proposals. AJ1 of the rest of the social model <br />consists of one group or another doing this. <br /> <br />Agency Evaluation Equalions <br /> <br />Equation Ill: Initial evaluations <br /> <br />Unstandardized form: <br />(I) (2) (3) <br />Y = ..241. .305X1 - ,0695X2X9 + 8,43X2 (I/XtQ) <br /> <br />(4) (5) (6) <br />+ .00568X3Xll + .136X4X12 + .228X5X13 <br /> <br />(5.9) <br /> <br />lOShould flooding problems be nearly completely solved, <br />the function of a tlood.control agency may change to some <br />other public works activity, or perhaps large parts of the staff <br />would be transferred to another agency. <br /> <br />64 <br />