Investigating the influence of curbs on single-vehicle crash injury severity utilizing zero-inflated ordered probit models

2013 ◽  
Vol 57 ◽  
pp. 55-66 ◽  
Author(s):  
Ximiao Jiang ◽  
Baoshan Huang ◽  
Russell L. Zaretzki ◽  
Stephen Richards ◽  
Xuedong Yan ◽  
...  
Keyword(s):  
Injury Severity ◽  
Ordered Probit ◽  
Probit Models ◽  
Vehicle Crash ◽  
Single Vehicle ◽  
Ordered Probit Models ◽  
Crash Injury Severity

Role of Adverse Weather in Key Crash Types on Limited-Access: Roadways Implications for Advanced Weather Systems

1998 ◽  
Vol 1621 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Asad J. Khattak ◽  
Paula Kantor ◽  
Forrest M. Council
Keyword(s):  
Injury Severity ◽  
Safety Information ◽  
Surface Friction ◽  
Crash Risk ◽  
Limited Access ◽  
Probit Models ◽  
Adverse Weather ◽  
Single Vehicle ◽  
Ordered Probit Models ◽  
Crash Types

Adverse weather can reduce visibility and road surface friction and thus increase crash frequency and injury severity. However, drivers may compensate for higher crash risk by reducing speeds, maintaining safe spacing, and driving more carefully. The impacts of adverse weather and its interactions with driver and roadway characteristics on the occurrence and injury severity of selected crash types are analyzed. Single-vehicle, two-vehicle sideswipe, and two-vehicle rear-end collisions on limited-access roadways are considered. To analyze differential impacts of adverse weather on crash type, binary probit models are estimated for single-vehicle versus the two types of two-vehicle crashes, and for rear-ends versus sideswipes. To analyze injury severity, ordered probit models are estimated. The 1990–1995 Highway Safety Information System (HSIS) database for North Carolina was used for analysis. The results indicate that, for the selected crash types, drivers appear to compensate for increased injury risks in that in adverse weather crashes are more frequent but injuries are less severe. Some implications for advanced weather systems are discussed.

Examining driver injury severity in left-turn crashes using hierarchical ordered probit models

2020 ◽  
pp. 1-6
Author(s):  
Zhao Zhang ◽  
Runan Yang ◽  
Yun Yuan ◽  
Glenn Blackwelder ◽  
Xianfeng (Terry) Yang
Keyword(s):  
Injury Severity ◽  
Ordered Probit ◽  
Left Turn ◽  
Probit Models ◽  
Ordered Probit Models

scholarly journals An Analysis of Consumer Preferences for Value-Added Seafood Products Derived from Crawfish

2002 ◽  
Vol 31 (2) ◽  
pp. 157-170 ◽  
Author(s):  
R. Wes Harrison ◽  
Timothy Stringer ◽  
Witoon Prinyawiwatkul
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Value Added ◽  
Utility Functions ◽  
Ordered Probit ◽  
Probit Models ◽  
Seafood Products ◽  
Ordered Probit Models ◽  
Old Men

Conjoint analysis is used to evaluate consumer preferences for three consumer-ready products derived from crawfish. Utility functions are estimated using two-limit tobit and ordered probit models. The results show women prefer a baked nugget or popper type product, whereas 35- to 44-year-old men prefer a microwavable nugget or patty type product. The results also show little difference between part-worth estimates or predicted rankings for the tobit and ordered probit models, implying the results are not sensitive to assumptions regarding the ordinal and cardinal nature of respondent preferences.

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