2015
DOI: 10.1016/j.trc.2014.12.011
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Exploring association between perceived importance of travel/traffic information and travel behaviour in natural disasters: A case study of the 2011 Brisbane floods

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Cited by 15 publications
(6 citation statements)
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“…MLR is a statistical model that can be used to observe how the independent variables may affect the dependent variables when the dependent variables are nominal and its outcomes are more than two [40]. For m possible outcomes (e.g., time-series cluster ranking in this study), when the outcome m − 1 is selected as the pivot or reference, totally m − 1 independent binary logistic regression models would be calculated, as illustrated below:…”
Section: • Multiple Logistic Regression (Mlr) Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…MLR is a statistical model that can be used to observe how the independent variables may affect the dependent variables when the dependent variables are nominal and its outcomes are more than two [40]. For m possible outcomes (e.g., time-series cluster ranking in this study), when the outcome m − 1 is selected as the pivot or reference, totally m − 1 independent binary logistic regression models would be calculated, as illustrated below:…”
Section: • Multiple Logistic Regression (Mlr) Modelmentioning
confidence: 99%
“…where m is the ordinal response, α is the endpoint that can set the continuous scale for Y * , Y * is the continuous variables (unobserved) that belong to the observed dependent variables (e.g., time-series cluster ranking in this study), Y * = Xβ + ε, X is the vector of independent variables, β is the vector of coefficients, and ε is the error term. For c possible outcomes, totally c − 1 independent binary logistic regression models would be estimated, and according to the proportional odds assumption, the coefficients of all these logistic regression models are the same [40]. In modelling ordinal dependent variables (for example, time-series cluster ranking in this study), the logit transformation is applied to the cumulative probabilities for maintaining the category order, as shown in the equation below.…”
Section: • Ordered Logistic Regression (Olr) Modelmentioning
confidence: 99%
“…However, due to its large investment, long cycle, impossible coverage to reach 100%, and limited service areas, the key to optimize the transportation system is to strengthen the effective connection between subway and other transportation modes. Park-and-transfer is one of the forms [27,28]. e survey shows that more than half of the people have park-and-transfer experience, which indicates that park-and-transfer has become one of the important travel options for residents.…”
Section: Focus On Transfer System Constructionmentioning
confidence: 99%
“…Considering the data format of metro transfer perception time of this study is discrete and orderly, the study will use the ordinal logistic regression model to analyze its influencing factors [8,9]. If the dependent variable includes k categories, and the model corresponds to k-1 formulas while the values of the independent variable parameters of these k-1 formulas are invariant except for the intercept parameters [10].…”
Section: Modeling Studymentioning
confidence: 99%