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The third section presents the models' estimation, results for each model and discussion.
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Section 4 presents model estimation results.
This is required in order for the model estimation results to be interpretable.
Table 3 presents the model estimation results for urban roads, while Table 4 presents the estimation results from rural roads.
Table 2 provides model estimation results for the cross-sectional binary logit model and the mixed logit model.
The presented model estimation results confirm the expectation that overall people show a general preference for car over public transport.
Model estimation results implied that exogenous threshold models are more realistic as they distinguish preference differences of shippers.
In this section, we present the summary statistics of the significant predictors as obtained from our model, followed by the model estimation results and inference.
In this section, we present the results of the exploratory analysis on understanding the global distribution of disaster impacts, followed by model estimation results.
Table 5 lists the conditional logit model estimation results and Table 6 presents the cost benefit analysis results under the basic scenario.
Based on the presented model estimation results, a key factor affecting the preference of respondents toward passenger car is the existence of parking space.
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