International Journal of Injury Control and Safety Promotion最新文献_第10页

Determinants of speed variability on the horizontal curves of two-lane undivided rural highways passing through mountainous terrain. 通过山区地形的两车道不分割乡村公路水平弯道上速度变化的决定因素。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-09-05 DOI: 10.1080/17457300.2023.2252797

V A Bharat Kumar Anna, Mallikarjuna Chunchu

{"title":"Determinants of speed variability on the horizontal curves of two-lane undivided rural highways passing through mountainous terrain.","authors":"V A Bharat Kumar Anna, Mallikarjuna Chunchu","doi":"10.1080/17457300.2023.2252797","DOIUrl":"10.1080/17457300.2023.2252797","url":null,"abstract":"Drivers traversing the horizontal curves are expected to complete the deceleration manoeuvre on the tangent and transition curve and maintain a constant speed upon reaching the curve. However, this may not be true for the horizontal curves constituting a two-lane undivided rural highway passing through mountainous terrain. The objective of this study is to investigate the speed variability on a two-lane rural highway passing through mountainous terrain and to identify its determinants. The continuous speed profiles of vehicles traversing the curves were extracted using the video image processing technique. Individual speed profiles, as well as the operating speed profiles obtained through quantile regression, indicate a significant speed variability on the horizontal curve. Speed variability on the curve was modelled in terms of the 85th percentile of maximum speed difference (MaxΔ85V) using the Robust Weighted Least Square (RWLS) Method. The findings indicate that the curvature change rate, length of the curve and the speed at the point of curvature affect the maximum speed difference on a curve. The findings also suggest that the operating speed estimated based on the spot speed data collected at the curve centre might lead to erroneous estimation of design and operating speed consistencies.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"652-665"},"PeriodicalIF":2.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10210851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hazard perception training effectiveness on experienced drivers: decay of improvement in the follow-up. 危险认知训练对有经验司机的效果:随著随访改善的衰减。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-05-30 DOI: 10.1080/17457300.2023.2214895

Auksė Endriulaitienė, Laura Šeibokaitė, Rasa Markšaitytė, Justina Slavinskienė, Modesta Morkevičiūtė

{"title":"Hazard perception training effectiveness on experienced drivers: decay of improvement in the follow-up.","authors":"Auksė Endriulaitienė, Laura Šeibokaitė, Rasa Markšaitytė, Justina Slavinskienė, Modesta Morkevičiūtė","doi":"10.1080/17457300.2023.2214895","DOIUrl":"10.1080/17457300.2023.2214895","url":null,"abstract":"A variety of road hazard perception training programmes have been proposed recently, based on the assumption that these skills contribute to lower crash rates across different countries. However, the long-term effectiveness of suggested programmes has been under-investigated. The main objective of this study is to explore the long-term effectiveness of online hazard perception training for experienced drivers and examine the moderating role of driving self-efficacy. Fifty-six experienced drivers (21 males and 35 females) were assigned to the experimental (n = 31) or the control (n = 25) group. The experimental group received two 45 min session interventions; the control group received no intervention. The effectiveness of the programme was tested by the change in scores of Lithuanian hazard prediction test (HPT) LHP12 that was conducted before training (pre-test), immediately after training (post-test) and six months after training (follow-up). The twelve-item Adelaide Driving Self-Efficacy Scale (ADSES; George et al., 2007) was used to measure self-reported driving self-efficacy at the pre-test. The results revealed a significant increase in hazard prediction scores immediately after training, but the short-term effect of training decayed at follow-up. Experienced drivers with higher self-efficacy developed better hazard prediction skills during training. The results confirmed short-term effectiveness of the programme.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"493-500"},"PeriodicalIF":2.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9545324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting road accidental deaths in India: an explicit comparison between ARIMA and exponential smoothing method. 印度道路意外死亡预测:ARIMA与指数平滑法的明确比较。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-06-22 DOI: 10.1080/17457300.2023.2225168

Prafulla Kumar Swain, Manas Ranjan Tripathy, Khushi Agrawal

{"title":"Forecasting road accidental deaths in India: an explicit comparison between ARIMA and exponential smoothing method.","authors":"Prafulla Kumar Swain, Manas Ranjan Tripathy, Khushi Agrawal","doi":"10.1080/17457300.2023.2225168","DOIUrl":"10.1080/17457300.2023.2225168","url":null,"abstract":"The number of deaths due to road accident is increasing day by day and has become an alarming global problem over the decades. India, with her rising motorization is no stranger to this global catastrophe. In this paper two relatively simple yet powerful and versatile techniques for forecasting time series data, autoregressive integrated moving average method (ARIMA) and exponential smoothing method are used to forecast the number of deaths due to road accidents in India from the year 2022-2031. The results based on the two methods are compared and it is found that they are in sync with each other and pre-existing literature. Furthermore, this is a unique attempt to use two time series analysis techniques on the same data and carry out a comparative analysis. The data was collected from the annual report of Ministry of Road Transport and Highways, India (2020) and Accidental Deaths & Suicides in India (ADSI) Report of National Crime Record Bureau (2021). After examining all the probable models, it is observed that ARIMA (2, 2, 2) model and exponential smoothing (M, A, N) model are suitable for the given data. Amongst the two, ARIMA (2, 2, 2) model has a lower AIC and BIC value. Thus, this comes out to be the best model as per our model selection criterion. Further, the study also reveals an upward trend of number of road accidental deaths for the upcoming 10 years in India.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"547-560"},"PeriodicalIF":2.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9680364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction of injury process from Japanese consumer product narrative injury data using an ontology-based method. 基于本体的日本消费品叙事伤害数据损伤过程构建。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-07-25 DOI: 10.1080/17457300.2023.2239240

Xiaodong Feng, Kun Zhang, Fang Jiang, Yoshiki Mikami

引用次数: 0

Clustering and pedestrian crashes prediction modelling: Amman case. 聚类与行人碰撞预测建模:安曼案例。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-06-25 DOI: 10.1080/17457300.2023.2214900

Lina Shbeeb

{"title":"Clustering and pedestrian crashes prediction modelling: Amman case.","authors":"Lina Shbeeb","doi":"10.1080/17457300.2023.2214900","DOIUrl":"10.1080/17457300.2023.2214900","url":null,"abstract":"Pedestrian casualties are a severe domestic as well as international problem. This study analyses the spatial distribution of pedestrian casualties to define contributory factors and delineate the means for their prediction. Three years of crash data were collected along with other factors and analysed using kernel density estimation (KDE), spatial autocorrelation (Moran's I), cluster K-Means, spatial regression, and general linear regressions (GLM). Kernel density estimate defines a cluster of pedestrian deaths within 1250 meters. According to Moran's I, 17/22 attributes about casualties, road networks, demographics, and land use have positive values, indicating similar importance clustering. The spatial pattern of pedestrian casualties is random and insignificant and does not change with time. Casualties are negatively related to the surrounding attributes, indicating a tendency towards dispersion. A K-Means analysis of multiple variables revealed that when variables included in the clustering were higher, the variance explanation percentage was lower. In the multi-variable GLM assuming Poisson distribution, the road network length alone or with the house permits combined were the best predictors of casualties. Classic regressions were not significantly enhanced by spatial dimension, and none of the autoregressive coefficients were significant. The predictions from the Poisson-based GLM model are similar to the classic regressions.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"501-529"},"PeriodicalIF":2.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9686183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systems-thinking-based road safety research: the way forward. 基于系统思维的道路安全研究:前进方向。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-11-30 DOI: 10.1080/17457300.2023.2282001

Geetam Tiwari

引用次数: 0

Evaluating overtaking and filtering maneuver of motorcyclists and car drivers using advanced trajectory data analysis. 基于先进轨迹数据分析的摩托车和汽车超车滤波机动评估。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-06-21 DOI: 10.1080/17457300.2023.2225162

Harish Kumar Saini, Shivam Singh Chouhan, Ankit Kathuria, Ashoke Kumar Sarkar

引用次数: 0

Relationships among causal factors influencing mine accidents using structural equation modelling. 用结构方程模型分析影响矿山事故成因的关系。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-08-23 DOI: 10.1080/17457300.2023.2248491

Theophilus Joe-Asare, Eric Stemn, Newton Amegbey

{"title":"Relationships among causal factors influencing mine accidents using structural equation modelling.","authors":"Theophilus Joe-Asare, Eric Stemn, Newton Amegbey","doi":"10.1080/17457300.2023.2248491","DOIUrl":"10.1080/17457300.2023.2248491","url":null,"abstract":"Accidents occur due to a series of interactions between deficiencies within the various levels of a sociotechnical system. Quantifying the relationship between upper and lower levels helps develop accident countermeasures focusing on significant organisational latent conditions. This study explores the relationship between the causal factors of accidents within Ghanaian mines using SEM. Data obtained from the analysis of incident reports using HFACS-GMI were quantified to enable its use in the SEM software, as SEM calculations cannot be done using a 0/1 description. The study also tests five hypotheses, including the basic assumption of the HFACS model. The case study results showed that organisational factors significantly influence workplace/individual conditions; upper causal categories do not only influence adjacent immediate lower causal categories, and partial correlations exist between causal categories with a particular level. Based on the SEM model from LISERL, an accident causation path diagram was developed. The diagram reveals that leadership flaws, the technological environment and adverse physiological/mental states were the mediating factors in accident causation within the mines. The operational process has a prominent position in the organisational factors tier and is an essential factor in the entire accident system. Therefore, accident countermeasures should be directed to addressing operational deficiencies.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"643-651"},"PeriodicalIF":2.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10481775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A matched case-control approach to identify the risk factors of fatal pedestrian crashes on a six-lane rural highway in India. 匹配病例对照方法，以确定印度六车道农村公路上致命行人碰撞的危险因素。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-12-01 Epub Date: 2023-08-03 DOI: 10.1080/17457300.2023.2242336

Laxman Singh Bisht, Geetam Tiwari

{"title":"A matched case-control approach to identify the risk factors of fatal pedestrian crashes on a six-lane rural highway in India.","authors":"Laxman Singh Bisht, Geetam Tiwari","doi":"10.1080/17457300.2023.2242336","DOIUrl":"10.1080/17457300.2023.2242336","url":null,"abstract":"Globally, the increase in pedestrian fatalities due to road traffic crashes (RTCs) on transport networks has been a major concern. In low- and middle-income countries (LMICs), pedestrians face a high risk due to RTCs on the rural highway network. The safety evaluation methods, such as observational before-after, empirical Bayes, full Bayes, and cross-sectional methods have been used to identify risk factors of RTCs. However, these methods are data-intensive and have associated limitations. Thus, this study employed a matched case-control method to identify the risk factors of fatal pedestrian crashes. This study utilized crash, traffic volume, speed, geometric, and roadside environment data of a 175 km six-lane rural highway in India. The identified major risk factors, such as clear zone width, the presence of habitation, service roads, and horizontal curve sections, increase the likelihood of a fatal pedestrian crash. This study provides specific insights for modifying the speed limit of highway sections passing through habitation. On such highway sections, designers should shift focus to pedestrian safety. It also suggests that the service road design needs to be reconsidered from a pedestrian safety viewpoint. The proposed method can be used in any other setting having similar traffic and socio-economic conditions.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"612-628"},"PeriodicalIF":2.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10284183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

List of reviewers (2022–2023) 评审人员名单(2022-2023)

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2023-11-30 DOI: 10.1080/17457300.2023.2277088

引用次数: 0