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Modelling single-vehicle, single-rider motorcycle crash injury severity: an ordinal logistic regression approach
Mahdi Pour-Rouholamin
,
Mohammad Jalayer
, Huaguo Zhou
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
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Dive into the research topics of 'Modelling single-vehicle, single-rider motorcycle crash injury severity: an ordinal logistic regression approach'. Together they form a unique fingerprint.
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Keyphrases
Single Vehicle
100%
Partial Proportional Odds Model
40%
Traffic Casualties
20%
Helmet
20%
Winter Season
20%
Crash Data
20%
System Database
20%
Fixed Object
20%
State Accounting
20%
Wet Surface
20%
Safety Countermeasures
20%
Total Traffic
20%
Partial Proportional Odds
20%
Traffic Fatalities
20%
Highway Safety
20%
Young Riders
20%
Ordered Response Models
20%
Proportional Odds Logistic Regression Model
20%
Multinomial Logit Model
20%
Proportional Odds Model
20%
Safety Information System
20%
Pseudoelasticity
20%
Proportional Odds
20%
Adverse Weather Conditions
20%
Engineering
Policy Maker
50%
Safety Information
50%