A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes

Chen, Cong; Zhang, Guohui; Tarefder, Rafiqul A.; Ma, Jun; Wei, Heng; Guan, Hongzhi

doi:10.1016/j.aap.2015.03.036

Cited by 189 publications

(87 citation statements)

References 56 publications

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“…In general, Hosmer and Lemeshow (2000) outlined that AUC values ranging from 0.9 to 1 indicate outstanding discrimination, values from 0.8 to less than 0.9 indicate excellent discrimination, and values from 0.7 to less than 0.8 indicate acceptable discrimination, respectively. The overall AUC for the MNL models is obtained by calculating the weighted average of each evacuation decision outcome category (Provost and Domingos 2001;Chen et al 2015).…”

Section: Modeling Frameworkmentioning

confidence: 99%

A household-level flood evacuation decision model in Quezon City, Philippines

Lim

Piantanakulchai

et al. 2015

Nat Hazards

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Evacuation is one of the important preparedness measures in disaster management. It requires careful modeling and planning to minimize chaos and confusion during evacuation operations. The choice of decision-makers, whether to evacuate or stay in the area threatened by hazard, is an important aspect of evacuation travel behavior research. This is considered an essential input for evacuation modeling and planning. This study investigates the effects of various factors determining evacuation decision. A discrete choice model is proposed using the data collected through a face-to-face post-event survey from flood-affected households in Quezon City, Philippines. The model allows a choice among three alternatives of full, partial, and no evacuation. Results show that evacuation decision is determined by a combination of household characteristics and capacity-related factors (gender, educational level, presence of children, and number of years living in the residence, house ownership, number of house floor levels, type of house material), as well as hazard-related factors (distance from source of flood, level of flood damage, and source of warning). Findings in the study provide insights that can be considered by policy-makers in preparing for future evacuations. Appropriate programs can be designed to encourage full evacuation compliance of households that live nearest to the flood source and those living in houses with two or more floor levels who are more likely not to evacuate.Households with children can also be educated for full evacuation compliance since these households have higher probability to partially evacuate.

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Section: Modeling Frameworkmentioning

confidence: 99%

A household-level flood evacuation decision model in Quezon City, Philippines

Lim

Piantanakulchai

et al. 2015

Nat Hazards

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“…Its assumption is often violated because they impose the restriction that regression parameters are constant across vehicle damage level, called parallel-lines assumption. In reality, however, it is not clear whether distances between adjacent injury levels are equal [15,16,17]. To solve this problem, some researchers have employed the unordered response model allowing the impact of independent variables to vary across different levels.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Factors Influencing the Vehicle Damage Level in Fatal Truck-Related Accidents and Differences in Rural and Urban Areas

Fratrović

2016

PROMET

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“…Binary Logit Model is a model that generated from Binary Logistic Regression analysis which is the analysis method used to find the relationship between the response variable Y that is binary or dichotomous and predictor variables X are polychotomus [3], where this variable X can be qualitative or quantitative. The data type on response variable Y is qualitative with two categories, for example; success (Y=1) and failed (Y=0).…”

Section: Binary Logit Modelmentioning

confidence: 99%

Analysis ofSalmonella spbacterial contamination on Vannamei Shrimp using binary logit model approach

Oktaviana

Fithriasari

2018

J. Phys.: Conf. Ser.

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Abstract. Mostly Indonesian citizen consume vannamei shrimp as their food. Vannamei shrimp also is one of Indonesian exports comodities mainstay. Vannamei shrimp in the ponds and markets could be contaminated by Salmonella sp bacteria. This bacteria will endanger human health. Salmonella sp bacterial contamination on vannamei shrimp could be affected by many factors. This study is intended to identify what factors that supposedly influence the Salmonella sp bacterial contamination on vannamei shrimp. The researchers used the testing result of Salmonella sp bacterial contamination on vannamei shrimp as response variable. This response variable has two categories: 0 = if testing result indicate that there is no Salmonella sp on vannamei shrimp; 1 = if testing result indicate that there is Salmonella sp on vannamei shrimp. There are four factors that supposedly influence the Salmonella sp bacterial contamination on vannamei shrimp, which are the testing result of Salmonella sp bacterial contamination on farmer hand swab; the subdistrict of vannamei shrimp ponds; the fish processing unit supplied by; and the pond are in hectare. This four factors used as predictor variables. The analysis used is Binary Logit Model Approach according to the response variable that has two categories. The analysis result indicates that the factors or predictor variables which is significantly affect the Salmonella sp bacterial contamination on vannamei shrimp are the testing result of Salmonella sp bacterial contamination on farmer hand swab and the subdistrict of vannamei shrimp ponds.

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A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes

Cited by 189 publications

References 56 publications

A household-level flood evacuation decision model in Quezon City, Philippines

A household-level flood evacuation decision model in Quezon City, Philippines

Analysis of Factors Influencing the Vehicle Damage Level in Fatal Truck-Related Accidents and Differences in Rural and Urban Areas

Analysis ofSalmonella spbacterial contamination on Vannamei Shrimp using binary logit model approach

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