### Table 7 - Automobile Ownership Model Estimation Results

"... In PAGE 31: ... However, since the logsums are sequentially estimated rather than simultaneously detrmined with the parameters of the auto ownership model, we have that the parameter estimates are consistent but not filly efficient (see McFadden, 1981, for a discussion of this point). Table7 presents the estimation results for the automobile ownership choice model. In terms of overall goodness of fit, the binary logit model denoted quot;FULL MODEL quot; in Table 7 has a p2 value of 0.... In PAGE 34: ...0, the greater the degree of independence between the decisions. In the Sao Paulo auto ownership model we presented in Table7 , the work trip accessibility variable for the head of household has a coefficient of about 0.10.... In PAGE 40: ...00 5.3 The Automobile Ownership Choice Model Results In this section we present the arc elasticities of the reduced form automobile ownership model (presented in Table7 ) with respect to changes in travel time, travel cost and household income. Because of the inclusion of the transportation system accessibility variable for head of household work trips (see the discussion in section 3.... ..."

### Table 1. Pearson correlation coefficients matrix of car ownership model variables CO GNPPC ACP GP TP UP UR AFS TLR

2006

"... In PAGE 7: ... Initially, in order to determine the linear relationships among these variables, Pearson correlation coefficients were calculated (Table 1). According to Table1 , during the study period (1970C12000), car ownership increased despite increases in the cost variables, average car price and gasoline price. In the literature review, it was noted that increasing cost variables always cause a decrease in car ownership.... In PAGE 8: ... Step 1: Determination of one-variable model type. The correlation matrix shown in Table1 indicates the level of the linear relationship between the variables. In order to determine the form of relationship between car ownership and the independent variables, five types of model are examined: .... ..."

### Table 11 Estimated model of car ownership based on all cars

"... In PAGE 15: ... Car ownership - all cars This model is a duration model for the time elapsed between purchase and disposal of a vehicle, just as in model 1. The models shown in Table11... ..."

### Table 2. Correlation coefficients of the one-variable car ownership model Function type GNPPC TP UP UR AFS TLR

2006

"... In PAGE 9: ...2: Perform fuzzy regression model with a single variable. The correlation coefficients presented in Table2 indicate that the best fit one-variable model will be obtained with average family size in the form of a second order polynomial. The fuzzy regression model is performed with this variable as follows: COC30(c10; s10)C27(c11; s11)C215AFSC27(c12; s12)C215AFS2 (13) When the value of h is selected to be 0.... In PAGE 10: ... The error sum of squares of the second regression model is calculated as 328, with a 25% decrease compared to the previous model. At the next stage, even though the correlation coefficients of total population and urbanization rate, presented in Table2 , are higher than the GNPPC and TRL, those two variables are not included in the model structure. The reason for this approach is that total population and the urbanization rate are demographic variables.... ..."

### Table 2). Table 2. Content provider themes and issues Ownership Business models Organization Product Advertising

### Table 1 Determinants of Household Computer Ownership Descriptive Statistics and Model results Logistic Regression Model Results Descriptive Statistics

2006

"... In PAGE 18: ... Due to limited observations in some ethnic categories, only the categories of White, African American, White Hispanic, and Other or Mixed Races are used. Income is reported in a set of ranges in this data set (see Table1 ). Based upon the discussion above, we would expect higher income and higher educational attainment to be associated with greater computer ownership and would expect minority households to have lower computer ownership levels than white households.... In PAGE 18: ... Based upon the diffusion literature and past studies of computer use, we expect the presence of students to positively influence computer ownership and the presence of students who use a computer at school to cause a still higher rate of computer ownership. Summary statistics for the set of data are presented in the last three columns of Table1 . For dichotomous and categorical variables the frequency of each category and percent of the sample it represents are shown.... In PAGE 20: ...7 percent correct classifications with the model. Review of the model results in Table1 indicates that virtually all of the variables in the model were of the expected sign and were statistically significant. Of the variables hypothesized to affect computer ownership, only the presence of students without any computer use at school had an unexpected impact, but this coefficient was not statistically significant.... In PAGE 42: ... The results of our analyses are displayed in the following tables. Table1 : Results of the analysis on the image criteria. Criteria Comply with criteria Do not Comply No data Image size is 600*400 pixels or smaller 78% 13% 9% Use no more than 3 images per page 14% 84% 2% For some pages, it was impossible to determine the size of the largest image since Macromedia Flash was used.... ..."

### Table 1. Ownership cardinality and field type constraints on the use of UML modelling elements in UML-B. (# = cardinality constraints of ownership)

"... In PAGE 6: ...ignal, Exception and Reception (i.e. all of signals) CreateAction, ReturnAction, SendAction TerminateAction, Uniterprete- dAction and DestroyAction (from Actions) SubSystemInstance, ComponentInstance, NodeInstance (from Instances) BehaviouralElements::StateMachines Excluding: SynchState, SubState, CompositeState,FinalState and SubMachineState (from Main) SignalEvent, TimeEvent,ChangeEvent (from Events) ModelManagement Excluding: Subsystem 2.3 Ownership and Type of UML Subset Model Elements Table1 lists the retained UML model elements and specifies UML-B constraints on the ownership of one model elements by an other..... ..."

### Table 10 Estimated model of car ownership based on one car per household.

"... In PAGE 14: ... Each household has the same weight (contributing to one observation), no matter who many cars the household owns. Table10 shows the estimated model of car ownership based on one car per household. This model is based on 1100 observations and 6607 time intervals.... ..."

### Table 14 - Automobile Ownership Arc Elasticities

"... In PAGE 41: ...Table14 shows the arc elasticities for the automobile ownership model. The results indicate that the ownership decision is basically unaffected by changes in travel time and travel cost in the range tested (10% perturbations).... In PAGE 44: ... Thus, the possibility remained that a quot;hidden quot; responsiveness of demand systems could rest in endogenous car ownership, if car ownership appeared responsive to measures of relative travel times and costs. Table14 demonstrates, however, that car ownership shows little responsiveness to any other variable han the households economic status. With the caveats necessary due to the data set and the methodology, therefore, it appears that the responsiveness to prices and travel times of car ownership does not add significant flexibility to an overall model of modal split for Sao Paulo.... ..."