Integrating Before and After Crash Features Into Measuring the Effectiveness of Intersection Safety Improvement Project in Harbin / Prieš Ir Po Eismo Įvykio Atsiradusių Padarinių Visuma, Vertinant Saugaus Eismo Sankryžose Projekto Efektyvumą Charbino Mieste / Учет Совокупности Факторов, Возникающих До И После Дорожно-Транспортного Происшествия, Для Оценки Эффективности Проекта По Безопасному Движению На Перекрестках В Городе Харбине

Wang, Yonggang; Chen, Kuanmin; Pei, Yulong; Wang, Ying

doi:10.3846/16484142.2011.565599

Cited by 15 publications

(11 citation statements)

References 24 publications

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“…Discrepancy in Malaysian accident data has been highlighted in previous research [2]. Other low and middle-income or developing countries also experience similar problems related to their accident data such as China [3], South Africa [4] and Saudi Arabia [5]. Accumulation of errors in the accident data starts with the incorrect or incomplete filling of an ARF.…”

Section: Introductionmentioning

confidence: 76%

The Effect of Type of Attributes on the Fill-Ability of Accident Reporting Forms (ARF)

Ahmed¹,

Ahmad²,

Sadullah³

et al. 2020

(JTTM)

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Accident Reporting Form (ARF) is the basic building block of an Accident Database. Incorrect and incomplete forms result into the formation of erroneous database which contains partial or no essential information required for the statistical analysis of accident data. Policies made on the basis of the results of such databases will have little or no effect on the improvement of safety of roadway facilities. In most countries filling of the ARF is the responsibility of Police/Investigating officers. Due to lack of interest, all the details are not recorded by them. Thus, it is very important to investigate the type of attributes and their respective items filled most. The objective of this study is to evaluate the attributes given most importance by the person in charge of filling the ARF and the items most neglected. The probable reasons for the complete/incomplete recording of the details of certain items were also examined. For this study a total of 642 forms were obtained from the Malaysian Institute of Road Safety Research (MIROS) for evaluation. Each form contained 91 attributes, as per number given in the accident reporting form known as POL 27. The items were divided with respect to driver, passenger, vehicle, pedestrian, location, road environment, road information and additional information. The fill-ability for each item was estimated in terms of percent filled. The items were evaluated in terms of least and most filled and the probable reason for the complete/incomplete filling of each item was then investigated. It was found that items related to location were most neglected. The second most incomplete items were associated with the vehicle and the driver. While the attributes related to the road and the environment were found to be the most filled. The probable reason for lack of fill-ability of location related items was their placement in inappropriate sections. The important finding of this study is the high number of items in the POL 27 which makes it difficult for the officer to fill the form completely and is the major cause of reduced fill-ability.

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Section: Introductionmentioning

confidence: 76%

The Effect of Type of Attributes on the Fill-Ability of Accident Reporting Forms (ARF)

Ahmed¹,

Ahmad²,

Sadullah³

et al. 2020

(JTTM)

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“…Intersection safety has been becoming an international concern. In Australia, almost 33% of major casualties are caused by intersection crashes [1]. In China, approximately 30% of total road fatalities happen at intersections [2].…”

Section: Introductionmentioning

confidence: 99%

Investigating influence factors of traffic violations at signalized intersections using data gathered from traffic enforcement camera

Hua

2020

PLoS ONE

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To effectively reduce traffic violations that often cause severe crashes at signalized intersections, exploring their contributing factors seems hugely urgent and essential. This study attempted to investigate the influence factors of wrong-way driving (WWD), red-light-running (RLR), violating traffic markings (VTM), and driving in the inaccurate oriented lane (DIOL) at signalized intersections by using data collected from traffic enforcement camera in Hohhot, China. To this end, an ordinary multinomial logit model was developed. By considering the unobserved heterogeneity between observations, a random effects multinomial logit model was proposed as well. After that, the marginal effects of explanatory variables were computed. The outcomes showed that non-local vehicles were more likely to commit WWD and VTM than local vehicles. WWD and RLR frequently occurred in the daytime and evening (6:00-23:59), and on most days within a week. RLR and DIOL mainly happened in June and July. The left-turn lane ratio significantly increased RLR and DIOL. The cloudy, partly cloudy, and rainy days obviously increased WWD and VTM. The temperature from 21 to 30 degrees centigrade was apparently associated with the higher likelihoods of RLR and DIOL. According to the findings of this study, some intervention measures, targeting different vehicle types and considering temporal factors, road, and weather conditions, were recommended to reduce WWD, RLR, VTM, and DIOL at signalized intersections.

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“…Compared with other locations in a roadway network, intersections are obviously more prone to be involved in traffic crashes, especially passenger-and bicyclist-involved crashes, due to the substantial factors in complex traffic environment, but how these different factors affect the occurrence and severity of crashes is still unclear (Wang et al, 2001a;Wang et al, 2011b;Delmelle et al, 2012;Siddiqui et al, 2014). Torbic et al (2010) reported that intersections with more lanes had highest vehicle-pedestrian crashes and that crash frequency was highest when the ratio of minor road AADT to major road AADT was highest.…”

Section: Introductionmentioning

confidence: 99%

Keeping Intersections Safe for Vulnerable Users: Contributory Factors to Pedestrians’ and Bicyclists’ Crossing Safety

Zhao¹,

Chen²

2016

JJCE

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Pedestrian-and cyclist-involved crashes at intersections remain a major concern in China due to high ratio of fatal injuries and fatalities. This paper develops the random parameters negative binominal model to determine the relationship between potential contributory factors and crash frequency involving pedestrians and bicyclists at intersection locations and identify the significant risk factors, using 4,066 observations over the period 2008-2013 from Zhengzhou and Xi'an, China. The use of random parameters' model is utilized as a mean to accommodate possible unobserved heterogeneity across intersections, and a maximum likelihood method with Halton draws is proposed to estimate the maximum likelihood of random parameters. Additionally, marginal effects are applied to assess the impact of expected instantaneous change of each dependent variable on crash frequency while keeping all the other covariates constant. Among many potential factors, passenger countdown timer, passenger push button, number of left turn lanes, left turn traffic, ratio of major direction AADT to minor direction AADT and driver's disregarding 'give-way' sign behavior,… etc. have significant association with passenger crash frequency, but a less impact on bicyclist crashes. The findings of current study could provide an important insight into traffic safety improvement projects for passengers and bicyclists at both planning and operational levels.

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Cited by 15 publications

References 24 publications

The Effect of Type of Attributes on the Fill-Ability of Accident Reporting Forms (ARF)

The Effect of Type of Attributes on the Fill-Ability of Accident Reporting Forms (ARF)

Investigating influence factors of traffic violations at signalized intersections using data gathered from traffic enforcement camera

Keeping Intersections Safe for Vulnerable Users: Contributory Factors to Pedestrians’ and Bicyclists’ Crossing Safety

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