Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding

Speeding continued to be of alarming concern for many countries. This paper aims to focus on highlighting speeders characteristics on 40 km/h on a busy urban road with high pedestrian movement. This case study utilised the ordinal logistic regression model to test four predictors. Three of which wer...

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Main Authors: Ebrahim, Zuhair, Nikraz, Hamid
Format: Journal Article
Published: WIT PRESS 2014
Subjects:
Online Access:http://www.witpress.com/elibrary/sse-volumes/4/4/880
http://hdl.handle.net/20.500.11937/41043
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author Ebrahim, Zuhair
Nikraz, Hamid
author_facet Ebrahim, Zuhair
Nikraz, Hamid
author_sort Ebrahim, Zuhair
building Curtin Institutional Repository
collection Online Access
description Speeding continued to be of alarming concern for many countries. This paper aims to focus on highlighting speeders characteristics on 40 km/h on a busy urban road with high pedestrian movement. This case study utilised the ordinal logistic regression model to test four predictors. Three of which were age and gender of the driver and the time of day drivers were detected speeding. Whereas the fourth explanatory variable is the ‘period’ of the installation of the signs, which tests the usefulness of electronic signs. The study found that the driver’s age contributes slightly to risky speeding behaviours, and older drivers speed less. Time of the day was found to be significant in the model, with a higher number of TINs being recorded in the afternoon than in the morning. Although gender was not found to be a significant predictor, it was shown to produce results similar to speeding data recorded in Perth roads with males speeding slightly more than females. This difference was more pronounced when higher speeding levels were compared. The period variable in the model relating to the installation of the signs was significant, with drivers slowing down after the installation of the flashing 40 km/h electronic signs compared with before the installations This may prove the usefulness of such signs in reducing speeding behaviour. Hence, reducing harm by reducing frequency and severity of crashes.
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spelling curtin-20.500.11937-410432017-01-30T14:47:53Z Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding Ebrahim, Zuhair Nikraz, Hamid speeding Multinomial logistic regression ordinal logistic regression Speeding continued to be of alarming concern for many countries. This paper aims to focus on highlighting speeders characteristics on 40 km/h on a busy urban road with high pedestrian movement. This case study utilised the ordinal logistic regression model to test four predictors. Three of which were age and gender of the driver and the time of day drivers were detected speeding. Whereas the fourth explanatory variable is the ‘period’ of the installation of the signs, which tests the usefulness of electronic signs. The study found that the driver’s age contributes slightly to risky speeding behaviours, and older drivers speed less. Time of the day was found to be significant in the model, with a higher number of TINs being recorded in the afternoon than in the morning. Although gender was not found to be a significant predictor, it was shown to produce results similar to speeding data recorded in Perth roads with males speeding slightly more than females. This difference was more pronounced when higher speeding levels were compared. The period variable in the model relating to the installation of the signs was significant, with drivers slowing down after the installation of the flashing 40 km/h electronic signs compared with before the installations This may prove the usefulness of such signs in reducing speeding behaviour. Hence, reducing harm by reducing frequency and severity of crashes. 2014 Journal Article http://hdl.handle.net/20.500.11937/41043 http://www.witpress.com/elibrary/sse-volumes/4/4/880 WIT PRESS restricted
spellingShingle speeding
Multinomial logistic regression
ordinal logistic regression
Ebrahim, Zuhair
Nikraz, Hamid
Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding
title Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding
title_full Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding
title_fullStr Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding
title_full_unstemmed Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding
title_short Examining Safety Of Electronic Signs: Using Ordinal Logistic Regression On Speeding
title_sort examining safety of electronic signs: using ordinal logistic regression on speeding
topic speeding
Multinomial logistic regression
ordinal logistic regression
url http://www.witpress.com/elibrary/sse-volumes/4/4/880
http://hdl.handle.net/20.500.11937/41043