Displaying publications 41 - 60 of 77 in total

Abstract:
Sort:
  1. Law TH, Ghanbari M, Hamid H, Abdul-Halin A, Ng CP
    Accid Anal Prev, 2016 Nov;96:64-70.
    PMID: 27505097 DOI: 10.1016/j.aap.2016.04.013
    Motorcyclists are particularly vulnerable to injury in crashes with heavy vehicles due to substantial differences in vehicle mass, the degree of protection and speed. There is a considerable difference in height between motorcycles and trucks; motorcycles are viewed by truck drivers from downward angles, and shorter distances between them mean steeper downward angles. Hence, we anticipated that the effects of motorcycle conspicuity treatments would be different for truck drivers. Therefore, this study aims to evaluate the effects of motorcycle conspicuity treatments on the identification and detection of motorcycles by truck drivers. Two complementary experiments were performed; the first experiment assessed the impact of motorcycle sensory conspicuity on the ability of un-alerted truck drivers to detect motorcycles, and the second experiment assessed the motorcycle cognitive conspicuity to alerted truck drivers. The sensory conspicuity was measured in terms of motorcycle detection rates by un-alerted truck drivers when they were not anticipating a motorcycle within a realistic driving scene, while the cognitive conspicuity was determined by the time taken by alerted truck drivers to actively search for a motorcycle. In the first experiment, the participants were presented with 10 pictures and were instructed to report the kinds of vehicles that were presented in the pictures. Each picture was shown to the participants for 600ms. In the second experiment, the participants were presented with the same set of pictures and were instructed to respond by clicking the right button on a mouse as soon as they detected a motorcycle in the picture. The results indicate that the motorcycle detection rate increases, and the response time to search for a motorcycle decreases, as the distance between the targeted motorcycle and the viewer decreases. This is true regardless of the type of conspicuity treatment used. The use of daytime running headlights (DRH) was found to increase the detection rate and the identification of a motorcycle by a truck driver at a farther distance, but effect deteriorates as the distance decreases. The results show that the detection rate and the identification of a motorcyclist wearing a black helmet with a reflective sticker increases as the distance between the motorcycle and the truck decreases. We also found that a motorcyclist wearing a white helmet and a white outfit is more identifiable and detectable at both shorter and longer distances. In conclusion, although this study provides evidence that the use of appropriate conspicuity treatments enhances motorcycle conspicuity to truck drivers, we suggest that more attention should be paid to the effect of background environment on motorcycle conspicuity.
    Matched MeSH terms: Automobile Driving/psychology; Automobile Driving/statistics & numerical data*
  2. Mohamad FF, Abdullah AS, Mohamad J
    Traffic Inj Prev, 2019;20(5):478-483.
    PMID: 31188019 DOI: 10.1080/15389588.2019.1612057
    Objective: The increasing number of road crashes and fatalities on Malaysian federal roads is a cause for concern. The main causes of road crashes and fatalities on federal roads have been attributed to the speeding behavior among drivers. As such, this research investigates the possible predictors from sociodemographic characteristics and attitudes in predicting speeding behavior among drivers on Malaysia federal roads. Methods: A face-to-face survey was conducted via purposive sampling on 300 drivers at rest areas at 6 crash hotspots on Malaysian federal roads. A set of questions related to speeding behavior was developed. The questionnaire consisted of 10 questions related to sociodemographic characteristics of the participants, 37 questions regarding attitudes toward speeding, and 1 question regarding speeding behavior. Subsequently, the sociodemographics were analyzed using binary logistic regression and the attitude variable was analyzed using factor analysis and binary logistic regression. Results: The findings from the sociodemographic data revealed that male gender, single/separated status, broad driving experience, crash experience, and leisure/vacation trip purposes emerged as significant predictors for speeding behavior. Additionally, the results of factor analysis for the attitude variable revealed 3 components: Affective, behavioral, and cognitive. These 3 components are originally derived from the ABC model of attitude (affective, behavioral, and cognitive) that was adapted in this study. Furthermore, the findings from binary logistic regression appeared consistent with the model assumption, signifying that behavioral aspects significantly influenced speeding behavior among drivers. Nevertheless, affective and cognitive components were insignificant predictors. Furthermore, strong agreement with speeding countermeasures was observed among the participants. Conclusion: In conclusion, sociodemographic characteristics and attitude have been proven to affect speeding behavior among drivers on Malaysian federal roads. The findings have important implications in designing driver risk profiles on federal roads to develop suitable countermeasures based on the 4E approach (engagement, education, enforcement, and engineering) to enhance road safety.
    Matched MeSH terms: Automobile Driving/psychology*; Automobile Driving/statistics & numerical data
  3. Ang BH, Jennifer O, Chen WS, Lee SWH
    J Safety Res, 2019 Jun;69:101-108.
    PMID: 31235220 DOI: 10.1016/j.jsr.2019.03.007
    INTRODUCTION: Older adults are at a greater risk of injury and death in a motor-vehicle accident. While the ability to drive safely can be challenging with aging, the concept of self-regulation and associated support system have attracted more attention in recent years, especially in developed countries. This review describes the mechanism and summarizes the potential factors that influenced self-regulation of driving amongst older adults to provide new insights into a broader framework for transportation and safe mobility.

    METHODS: We systematically searched 12 online databases for qualitative studies exploring the experiences of older adults aged 60 years and above on their decision to self-regulate their driving. Thematic synthesis was performed to identify elements influencing driving reduction and cessation. The confidence profile of each findings from the meta-synthesis was appraised using the Confidence in the Evidence from Reviews of Qualitative research (CERQual) tool.

    RESULTS: A total of 17 studies representing views of 712 older adults from four countries were included. Three major themes were identified with each representing a transition phase that can either facilitate or hinder older drivers from ceasing completely or reducing their driving, when transitioning from pre-decision phase to post-cessation phase.

    CONCLUSIONS: Our findings suggest that there is a mismatch between the current traffic collation prevention measures, such as age-specific mandatory license renewal system and travel needs of older adults. As such, it is time for the authorities, researchers, and public from various fields and perspectives to collaborate, sustain, and improve safety and mobility in older adults. Practical applications: Adequate regulations and guidelines from the medical community and legal authorities are warranted to assist older adults and caregivers. Social support (e.g., feedback, assurance, or transportation support) from family members, friends, and healthcare professionals are crucial for a smooth transition. Provision of alternative transportations in rural areas are needed and future interventions should focus on engaging and educating older adults to consider alternative transportation modes for mobility. Age-specific mandatory license renewal procedure can be useful in screening for at-risk groups.

    Matched MeSH terms: Automobile Driving/legislation & jurisprudence; Automobile Driving/psychology*
  4. Useche SA, Cendales B, Alonso F, Montoro L, Pastor JC
    Heliyon, 2019 Aug;5(8):e02259.
    PMID: 31440599 DOI: 10.1016/j.heliyon.2019.e02259
    This study analyzes the association between trait driving anger and driving styles in a sample of Colombian professional drivers. Additionally, the internal and external validity of the Deffenbacher's Driving Anger Scale (DAS-14) was examined in the study population. The DAS-14 and the Spanish Version of the Multidimensional Driving Style Inventory (S-MDSI) were administered to 492 urban bus and taxi operators. Average trait driving anger scores in the study population were similar to those reported in previous validation studies from Spain, Argentina, China, and Malaysia. After deleting three cross-loaded items, confirmatory factor analyses revealed a three-dimensional latent structure for the DAS-14, similar but not equal to the previous Spanish speaking validations. This factorial structure fits the data reasonably well. Finally, linear regression analyses revealed that the three factors of the DAS-14 (impeded progress by others, illegal driving, and direct hostility) significantly predict adaptive and maladaptive driving styles. Overall, the results of this study suggest that the DAS-14 is a reasonably reliable measure of driving anger traits among professional drivers, and it also provides relevant insights for the prevention of risky driving styles in this occupational group.
    Matched MeSH terms: Automobile Driving
  5. You HW, Abdul Rahman A, Hendri Dwisatrya LH
    Data Brief, 2020 Aug;31:105783.
    PMID: 32642504 DOI: 10.1016/j.dib.2020.105783
    Road traffic accidents have been recognised as a leading cause of death, and one of the prominent public health problems. The human factor, which is the driving behaviour in particular, is said to be the main cause. In line with this, the objective of this research is to present a data article on the response of driving behaviours among drivers. Driving behaviours have been classified into five dimensions, which are speeding, improper overtaking, mobile phone use while driving, tail-gating and disobeying traffic lights. A quantitative study was conducted with a sample size of 160 drivers consisting of residents in a suburban of Selangor, Malaysia. A stratified random sampling method was adopted to identify the respondents. Data analysis was presented in the form of descriptive statistics and tables. The findings show that the majority of respondents agreed that they have driving behaviours that involve improper overtaking, tail-gating and disobeying traffic lights.
    Matched MeSH terms: Automobile Driving
  6. Muhammad Nur Arsyad Azman, Ng, Choy Peng, Faridah Hanim Khairuddin, Neza Ismail, Wan Mohamed Syafuan Wan Sabri
    MyJurnal
    Road surface condition of a pavement is one of the most important features as it affect driving comfort and safety. A good road surface condition could reduce the risk of traffic accidents and injuries. Pavement Condition Index (PCI) is one of the important tools to measure the pavement performance. By conducting pavement evaluation, civil engineers could prioritize the maintenance and rehabilitation which usually incurred a huge cost. In University Pertahanan Nasional Malaysia (UPNM), there was no proper maintenance and rehabilitation scheduled for the roads as no performance evaluation tool available to measure the pavement condition. Thus, the objective of this study was to develop a Composite Pavement Performance Index (CPPI) to monitor the pavement condition and to rank the roads in UPNM. To develop the CPPI, road defects data were collected from 6 internal roads in UPNM. From the data collected, 4 major distresses were identified: longitudinal cracking, crocodile cracking, potholes and ravelling were found more likely to affect the pavement’s condition in UPNM. By measuring the growth of the distresses over a period of 6 months, modelling was conducted using simple linear regression. The growth of the distresses were compared, and odds ratios were computed to calculate the weightage of each distress for the determination of the CPPI value. The CPPI value developed could be used to rank the roads in UPNM. This study demonstrated that the road connecting to the library building in UPNM experienced the worst pavement deterioration with a PCI of 24 or a CPPI value of 1.1915. The level of severity was classified as “SERIOUS” in accordance to ASTM D6433. This road was recommended for reconstruction to increase the comfort and safety for road users
    Matched MeSH terms: Automobile Driving
  7. Ghazilla, R. A. R., Yap, H. J.
    MyJurnal
    The number of people above 60 years of age will increases due to the growth of the population in the first half of the 21st century, particularly in Malaysia. This has led to the growing number of older drivers which is often unavoidable as driving is a necessary task that not only achieves mobility but also shows a sign of independence and improves self-esteem, which are essential towards effecting the lifestyle. This paper briefly looks at common elderly related visual impairment, reviews design approaches and tools that tackle or include these issues in the design process and further outlines new research needs. It is the intention of this paper to steer the research direction of the development of future design approach and tools that would enhance the capabilities of designers to be well prepared to cater for inclusive design for the elderly, more specifically for visual impairments issues.
    Matched MeSH terms: Automobile Driving
  8. Tey LS, Zhu S, Ferreira L, Wallis G
    Accid Anal Prev, 2014 Oct;71:177-82.
    PMID: 24929822 DOI: 10.1016/j.aap.2014.05.014
    Level crossings are amongst the most complex of road safety issues, due to the addition of rail infrastructure, trains and train operations. The differences in the operational characteristics of different warning devices together with varying crossing, traffic or/and train characteristics, cause different driver behaviour at crossings. This paper compares driver behaviour towards two novel warning devices (rumble strips and in-vehicle audio warning) with two conventional warning devices (flashing light and stop sign) at railway level crossings using microsimulation modelling. Two safety performance indicators directly related to collision risks, violation and time-to-collision, were adopted. Results indicated the active systems were more effective at reducing likely collisions compared to passive devices. With the combined application of driving simulation and traffic microsimulation modelling, traffic safety performance indicators for a level crossing can be estimated. From these, relative safety comparisons for the different traffic devices are derived, or even for absolute safety evaluation with proper calibration from field investigations.
    Matched MeSH terms: Automobile Driving/statistics & numerical data*
  9. Falamarzi A, Borhan MN, Rahmat RA
    ScientificWorldJournal, 2014;2014:757981.
    PMID: 25276861 DOI: 10.1155/2014/757981
    Lack of traffic safety has become a serious issue in residential areas. In this paper, a web-based advisory expert system for the purpose of applying traffic calming strategies on residential streets is described because there currently lacks a structured framework for the implementation of such strategies. Developing an expert system can assist and advise engineers for dealing with traffic safety problems. This expert system is developed to fill the gap between the traffic safety experts and people who seek to employ traffic calming strategies including decision makers, engineers, and students. In order to build the expert system, examining sources related to traffic calming studies as well as interviewing with domain experts have been carried out. The system includes above 150 rules and 200 images for different types of measures. The system has three main functions including classifying traffic calming measures, prioritizing traffic calming strategies, and presenting solutions for different traffic safety problems. Verifying, validating processes, and comparing the system with similar works have shown that the system is consistent and acceptable for practical uses. Finally, some recommendations for improving the system are presented.
    Matched MeSH terms: Automobile Driving*
  10. Sullman MJ, Stephens AN, Yong M
    Accid Anal Prev, 2014 Oct;71:1-9.
    PMID: 24863369 DOI: 10.1016/j.aap.2014.04.019
    The present study examined the types of situations that cause Malaysian drivers to become angry. The 33-item version of the driver anger scale (Deffenbacher et al., 1994) was used to investigate driver anger amongst a sample of 339 drivers. Confirmatory factor analysis showed that the fit of the original six-factor model (discourtesy, traffic obstructions, hostile gestures, slow driving, illegal driving and police presence), after removing one item and allowing three error pairs to covary, was satisfactory. Female drivers reported more anger, than males, caused by traffic obstruction and hostile gestures. Age was also negatively related to five (discourtesy, traffic obstructions, hostile gestures, slow driving and police presence) of the six factors and also to the total DAS score. Furthermore, although they were not directly related to crash involvement, several of the six forms of driving anger were significantly related to the crash-related conditions of: near misses, loss of concentration, having lost control of a vehicle and being ticketed. Overall the pattern of findings made in the present research were broadly similar to those from Western countries, indicating that the DAS is a valid measure of driving anger even among non-European based cultures.
    Matched MeSH terms: Automobile Driving/psychology*
  11. Abdul Manan MM
    Accid Anal Prev, 2014 Sep;70:301-13.
    PMID: 24831271 DOI: 10.1016/j.aap.2014.04.009
    This paper uses data from an observational study, conducted at access points in straight sections of primary roads in Malaysia in 2012, to investigate the effects of motorcyclists' behavior and road environment attributes on the occurrence of serious traffic conflicts involving motorcyclists entering primary roads via access points. In order to handle the unobserved heterogeneity in the small sample data size, this study applies mixed effects logistic regression with multilevel bootstrapping. Two statistically significant models (Model 2 and Model 3) are produced, with 2 levels of random effect parameters, i.e. motorcyclists' attributes and behavior at Level 1, and road environment attributes at Level 2. Among all the road environment attributes tested, the traffic volume and the speed limit are found to be statistically significant, only contributing to 26-29% of the variations affecting the traffic conflict outcome. The implication is that 71-74% of the unmeasured or undescribed attributes and behavior of motorcyclists still have an importance in predicting the outcome: a serious traffic conflict. As for the fixed effect parameters, both models show that the risk of motorcyclists being involved in a serious traffic conflict is 2-4 times more likely if they accept a shorter gap to a single approaching vehicle (time lag <4s) and in between two vehicles (time gap <4s) when entering the primary road from the access point. A road environment factor, such as a narrow lane (seen in Model 2), and a behavioral factor, such as stopping at the stop line (seen in Model 3), also influence the occurrence of a serious traffic conflict compared to those entering into a wider lane road and without stopping at the stop line, respectively. A discussion of the possible reasons for this seemingly strange result, including a recommendation for further research, concludes the paper.
    Matched MeSH terms: Automobile Driving/psychology*
  12. Sharizli AA, Rahizar R, Karim MR, Saifizul AA
    Traffic Inj Prev, 2015;16(2):190-5.
    PMID: 24827899 DOI: 10.1080/15389588.2014.921913
    The increase in the number of fatalities caused by road accidents involving heavy vehicles every year has raised the level of concern and awareness on road safety in developing countries like Malaysia. Changes in the vehicle dynamic characteristics such as gross vehicle weight, travel speed, and vehicle classification will affect a heavy vehicle's braking performance and its ability to stop safely in emergency situations. As such, the aim of this study is to establish a more realistic new distance-based safety indicator called the minimum safe distance gap (MSDG), which incorporates vehicle classification (VC), speed, and gross vehicle weight (GVW).
    Matched MeSH terms: Automobile Driving/statistics & numerical data*
  13. Hosseinpour M, Yahaya AS, Sadullah AF
    Accid Anal Prev, 2014 Jan;62:209-22.
    PMID: 24172088 DOI: 10.1016/j.aap.2013.10.001
    Head-on crashes are among the most severe collision types and of great concern to road safety authorities. Therefore, it justifies more efforts to reduce both the frequency and severity of this collision type. To this end, it is necessary to first identify factors associating with the crash occurrence. This can be done by developing crash prediction models that relate crash outcomes to a set of contributing factors. This study intends to identify the factors affecting both the frequency and severity of head-on crashes that occurred on 448 segments of five federal roads in Malaysia. Data on road characteristics and crash history were collected on the study segments during a 4-year period between 2007 and 2010. The frequency of head-on crashes were fitted by developing and comparing seven count-data models including Poisson, standard negative binomial (NB), random-effect negative binomial, hurdle Poisson, hurdle negative binomial, zero-inflated Poisson, and zero-inflated negative binomial models. To model crash severity, a random-effect generalized ordered probit model (REGOPM) was used given a head-on crash had occurred. With respect to the crash frequency, the random-effect negative binomial (RENB) model was found to outperform the other models according to goodness of fit measures. Based on the results of the model, the variables horizontal curvature, terrain type, heavy-vehicle traffic, and access points were found to be positively related to the frequency of head-on crashes, while posted speed limit and shoulder width decreased the crash frequency. With regard to the crash severity, the results of REGOPM showed that horizontal curvature, paved shoulder width, terrain type, and side friction were associated with more severe crashes, whereas land use, access points, and presence of median reduced the probability of severe crashes. Based on the results of this study, some potential countermeasures were proposed to minimize the risk of head-on crashes.
    Matched MeSH terms: Automobile Driving/statistics & numerical data*
  14. Engkasan JP, Ehsan FM, Chung TY
    J Rehabil Med, 2012 Jan;44(1):19-23.
    PMID: 22124514 DOI: 10.2340/16501977-0904
    The aims of this study were to examine the ability of patients to return to driving cars and riding motorcycles after lower limb amputation, and to explore the factors that significantly affect such ability.
    Matched MeSH terms: Automobile Driving/statistics & numerical data*
  15. Davoodi SR, Hamid H, Arintono S, Muniandy R, Faezi SF
    Traffic Inj Prev, 2011 Apr;12(2):174-9.
    PMID: 21469025 DOI: 10.1080/15389588.2010.533314
    The purpose of this study was to determine the baseline motorcycle riders' perception-response times (PRTs) in an expected object braking task and to determine the significant difference between PRTs of older and younger riders.
    Matched MeSH terms: Automobile Driving/psychology*
  16. Wo MC, Lim KS, Choo WY, Tan CT
    Epilepsy Behav, 2015 Apr;45:21-30.
    PMID: 25794681 DOI: 10.1016/j.yebeh.2015.02.016
    This study aimed to explore positive and negative factors affecting the employability in patients with uncontrolled seizures.
    Matched MeSH terms: Automobile Driving/psychology*
  17. Wolkow AP, Rajaratnam SMW, Wilkinson V, Shee D, Baker A, Lillington T, et al.
    Sleep Health, 2020 06;6(3):366-373.
    PMID: 32340910 DOI: 10.1016/j.sleh.2020.03.005
    OBJECTIVES: This study examined the influence of a wrist-worn heart rate drowsiness detection device on heavy vehicle driver safety and sleep and its ability to predict driving events under naturalistic conditions.

    DESIGN: Prospective, non-randomized trial.

    SETTING: Naturalistic driving in Malaysia.

    PARTICIPANTS: Heavy vehicle drivers in Malaysia were assigned to the Device (n = 25) or Control condition (n = 34).

    INTERVENTION: Both conditions were monitored for driving events at work over 4-weeks in Phase 1, and 12-weeks in Phase 2. In Phase 1, the Device condition wore the device operated in the silent mode (i.e., no drowsiness alerts) to examine the accuracy of the device in predicting driving events. In Phase 2, the Device condition wore the device in the active mode to examine if drowsiness alerts from the device influenced the rate of driving events (compared to Phase 1).

    MEASUREMENTS: All participants were monitored for harsh braking and harsh acceleration driving events and self-reported sleep duration and sleepiness daily.

    RESULTS: There was a significant decrease in the rate of harsh braking events (Rate ratio = 0.48, p 

    Matched MeSH terms: Automobile Driving/psychology*
  18. Lee YM, Sheppard E
    Accid Anal Prev, 2016 Oct;95(Pt A):202-8.
    PMID: 27450792 DOI: 10.1016/j.aap.2016.07.011
    Failure in making the correct judgment about the intention of an approaching vehicle at a junction could lead to a collision. This paper investigated the impact of dynamic information on drivers' judgments about the intentions of approaching cars and motorcycles, and whether a valid or invalid signal was provided was also manipulated. Participants were presented with videoclips of vehicles approaching a junction which terminated immediately before the vehicle made any manoeuvre, or images of the final frame of each video. They were asked to judge whether or not the vehicle would turn. Drivers were better in judging the manoeuvre of approaching vehicles in dynamic than static stimuli, for both vehicle types. Drivers were better in judging the manoeuvre of cars than motorcycles for videos, but not for photographs. Drivers were also better in judging the manoeuvre of approaching vehicles when a valid signal was provided than an invalid signal, demonstrating the importance of providing a valid signal while driving. However, drivers were still somewhat successful in their judgments in most of the conditions with an invalid signal, suggesting that drivers were able to focus on other cues to intention. Finally, given that dynamic stimuli more closely reflect the demands of real-life driving there may be a need for drivers to adopt a more cautious approach while inferring a motorcyclist's intentions.
    Matched MeSH terms: Automobile Driving/psychology*
  19. Rusli R, Haque MM, Afghari AP, King M
    Accid Anal Prev, 2018 Oct;119:80-90.
    PMID: 30007211 DOI: 10.1016/j.aap.2018.07.006
    Road safety in rural mountainous areas is a major concern as mountainous highways represent a complex road traffic environment due to complex topology and extreme weather conditions and are associated with more severe crashes compared to crashes along roads in flatter areas. The use of crash modelling to identify crash contributing factors along rural mountainous highways suffers from limitations in data availability, particularly in developing countries like Malaysia, and related challenges due to the presence of excess zero observations. To address these challenges, the objective of this study was to develop a safety performance function for multi-vehicle crashes along rural mountainous highways in Malaysia. To overcome the data limitations, an in-depth field survey, in addition to utilization of secondary data sources, was carried out to collect relevant information including roadway geometric factors, traffic characteristics, real-time weather conditions, cross-sectional elements, roadside features, and spatial characteristics. To address heterogeneity resulting from excess zeros, three specialized modelling techniques for excess zeros including Random Parameters Negative Binomial (RPNB), Random Parameters Negative Binomial - Lindley (RPNB-L) and Random Parameters Negative Binomial - Generalized Exponential (RPNB-GE) were employed. Results showed that the RPNB-L model outperformed the other two models in terms of prediction ability and model fit. It was found that heavy rainfall at the time of crash and the presence of minor junctions along mountainous highways increase the likelihood of multi-vehicle crashes, while the presence of horizontal curves along a steep gradient, the presence of a passing lane and presence of road delineation decrease the likelihood of multi-vehicle crashes. Findings of this study have significant implications for road safety along rural mountainous highways, particularly in the context of developing countries.
    Matched MeSH terms: Automobile Driving*
  20. Ang BH, Oxley JA, Chen WS, Yap KK, Song KP, Lee SWH
    J Safety Res, 2019 09;70:243-251.
    PMID: 31848001 DOI: 10.1016/j.jsr.2019.07.004
    INTRODUCTION: The ability to remain safe behind the wheels can become arduous with aging, yet important for sustaining local travel needs. This review aimed to explore safe mobility issues involving older adults and gain a broad understanding of older drivers' self-regulatory driving practices and motivators behind such behavioral changes, including strategies adopted to reduce or cease driving while maintaining safe mobility.

    METHODS: A systematic literature search was performed on 11 online databases for quantitative studies describing self-regulation of driving amongst older adults aged 60 years and above from database inception until December 2018. Data were described narratively and, where possible, data were pooled using random-effects meta-analysis.

    RESULTS: Of the 1556 studies identified, 54 studies met the inclusion criteria and 46 studies were included in the meta-analyses. All included studies examined car drivers only. Older adults who were single or female were found to be at higher odds of driving cessation. Physical fitness, mental health, social influence, and support systems received by older adults were important driving forces influencing mobility and adjustments made in their travel patterns.

    CONCLUSIONS: Driving self-regulation amongst older adults is a multifaceted decision, impacting mobility and mental health. Therefore, future interventions and support systems should not only create opportunities for retaining mobility for those who have ceased driving, but also promote better psychological and social well-being for regulators and for those who are transitioning from driving to non-driving status. Practical applications: (a) Engage and educate older adults about self-regulation, including strategies that can be adopted and non-car mobility options available. (b) Expand the research focus to explore potential interactions of factors facilitating or hindering the transition process to develop a more comprehensive framework of self-regulation. (c) Encourage ongoing research to formulate, monitor, and evaluate the effectiveness of policies and interventions implemented. (d) Expand the research horizon to explore and understand the perspectives of older adults from developing countries.

    Matched MeSH terms: Automobile Driving*
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links