Examining the roles of multidimensional fatalism on traffic safety attitudes and pedestrian behaviour

Dinh, Do Duy; Vu, Nam; McIlroy, Rich C.; Plant, K.A.; Stanton, Neville A.

doi:10.1016/j.ssci.2019.104587

Cited by 26 publications

(19 citation statements)

References 30 publications

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“…Among pedestrian fatalities, about 49% occur in low-income countries [3]. Recently, increased concern about pedestrian fatalities can be observed all over the world, especially in LMICs [4][5][6], therefore building an understanding of pedestrian behaviour in low-and middle-income settings is a necessary precursor to any successful national or global road safety strategy [7].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Relationships between Demographics, Road Safety Attitudes, and Self-Reported Pedestrian Behaviours in Bangladesh

et al. 2021

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Pedestrians are the most vulnerable road users in low- and middle-income countries, hence understanding their attitudes towards traffic safety and the pedestrian behaviours associated with those attitudes is vital. The current study identifies the factor structure of a self-report questionnaire on pedestrian behaviours and road safety attitudes and explores the relationships between them. It also assesses demographic effects. A total of 532 people were surveyed. The questionnaire sections related to attitudes and behaviours were developed for use in different, largely high-income settings, hence their suitability for use in the low-income setting of Bangladesh was first assessed using Principal Component Analysis (PCA). A structural equation model was then developed to examine the relationships between attitudes and pedestrian behaviours. It was found that positive attitudes towards traffic safety were associated with safer pedestrian behaviours, and that males, younger respondents, and less educated respondents reported performing riskier behaviours and holding more dangerous attitudes to road safety. Results are discussed in terms of the factors likely to influence such behaviours, as well as a discussion on the need for validation of the research tools which have been developed in high-income settings for low-income settings.

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Section: Introductionmentioning

confidence: 99%

Exploring the Relationships between Demographics, Road Safety Attitudes, and Self-Reported Pedestrian Behaviours in Bangladesh

et al. 2021

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“…When applying questionnaires to collect road safety behavioral data, the authors are usually conflicted about whether to use parametric or nonparametric scale procedures since it is not fully clear if the data are interval or ordinal. Questionnaires that are usually employed to collect perceptions, ratings, or judgments on many subjects in various fields rely on the most famous and widely used Likert scale [33,34]. Likert scale traditionally applies linguistic variables that are encoded by means of ranking (in most cases, from 1 to 5-7, e.g., from the least "strongly disagree" to the largest "strongly agree").…”

Section: Uncertain Nature Of Safety Performance Indicatorsmentioning

confidence: 99%

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Pajković

Grdinić-Rakonjac

Antić

2022

Journal of Advanced Transportation

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As the need to assess the level of road safety grows, there is a noticeable tendency of experts to use one overall composite index that contains information on a number of safety performance indicators (SPIs). Indicators commonly used in road safety assessment are numerical, and their natural uncertainty and vagueness are often overlooked. However, there are also SPIs that are rather linguistic, such as data on driver behavior, which are most often collected through questionnaires and are considered qualitative, imprecise, and fuzzy. Together with inappropriate selection of weighting and aggregation methods, such data can be a source of uncertainty and can lead to unreliable results and erroneous conclusions. In this regard, the present study provides a systematic and efficient hybrid method that integrates three different procedures to deal with unavoidable uncertainty in each step of index construction. The application of fuzzy linguistic rating grasp insight into the ambiguity that is intrinsic in drivers’ self-assessment. Entropy describes each observed behavior by quantifying the disorder of a system. Grey relational analysis aggregates behavioral indicators into a composite index, doubting their sufficiency and completeness. A case study of Montenegro has been provided to demonstrate the practical applicability of the proposed method in safety assessment under uncertainty. Results abstracted not wearing the seatbelt as the most common negative behavior among drivers in Montenegro, followed by using the telephone while driving, speeding, and driving under the influence of alcohol. In addition, municipalities are ranked according to the level of road safety.

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“…Due to its suitability for measuring abstract attitudes and behaviours, psychometric testing has been developed based on questions with multidimensional answers where the respondent shows his degree of agreement for each question. One of the most commonly used psychometric scales is the Likert scale [53,54], which offers several categories of answers and requires respondents to rank their position with one of the offered options. These categories can cover any range, but are usually up to 5 or 7 points (e.g., from the smallest ("strongly disagree") to the largest ("strongly agree")) and reliability is satisfied when more than four answer options are used [55].…”

Section: Questionnairementioning

confidence: 99%

Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

Pajković

Grdinić-Rakonjac

2021

Sustainability

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Self-reported behavioural data, being often linguistic variables that represent a qualitative measure of respondents’ opinions/attitudes, are vague, uncertain, and fuzzy in nature. A road safety performance index, based on these fuzzy data, should consider this uncertainty. In this study, fuzzy numbers were used to describe self-reported behaviour on Montenegrin roads, which was further integrated into the data envelopment analysis (DEA), a technique for measuring the relative performance of decision-making units (DMUs). The vagueness of the performance scores obtained in this way was treated with grey relational analysis (GRA). GRA was applied to the cross-efficiency (CE) matrix constructed by the DEA to distinguish Montenegrin municipalities’ performance, with the main goal of describing road safety in the observed territories in the environment of uncertain/grey data. It is concluded that the proposed DEA–GRA model, based on fuzzy data, provides a more reasonable and encompassing measure of performance, and with which the overall ranking position of municipalities can be obtained.

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Examining the roles of multidimensional fatalism on traffic safety attitudes and pedestrian behaviour

Cited by 26 publications

References 30 publications

Exploring the Relationships between Demographics, Road Safety Attitudes, and Self-Reported Pedestrian Behaviours in Bangladesh

Exploring the Relationships between Demographics, Road Safety Attitudes, and Self-Reported Pedestrian Behaviours in Bangladesh

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

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