Analysis of safety factors for urban expressways considering the effect of congestion in Shanghai, China

Sun, Jian; Li, Tienan; Li, Feng; Chen, Feng

doi:10.1016/j.aap.2015.12.011

Cited by 55 publications

(32 citation statements)

References 25 publications

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“…Methodologically, the substantial progress in analytical methods over the years has enabled a more precise determination of the influence of risk factors on crash severity. A wide range of sophisticated methods have been developed by accommodating the fundamental characteristics of crash severity data, including ordered nature [22,23], underreporting [24], endogeneity [25], within-crash correlation [26,27], spatial and temporal correlation [19,20,28,29], unobserved heterogeneity [30,31], etc. Please refer to [32,33] for a comprehensive introduction and assessment on the methodological alternatives.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

Zeng

Hao

Lee

et al. 2020

IJERPH

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This study presents an empirical investigation of the impacts of real-time weather conditions on the freeway crash severity. A Bayesian spatial generalized ordered logit model was developed for modeling the crash severity using the hourly wind speed, air temperature, precipitation, visibility, and humidity, as well as other observed factors. A total of 1424 crash records from Kaiyang Freeway, China in 2014 and 2015 were collected for the investigation. The proposed model can simultaneously accommodate the ordered nature in severity levels and spatial correlation across adjacent crashes. Its strength is demonstrated by the existence of significant spatial correlation and its better model fit and more reasonable estimation results than the counterparts of a generalized ordered logit model. The estimation results show that an increase in the precipitation is associated with decreases in the probabilities of light and severe crashes, and an increase in the probability of medium crashes. Additionally, driver type, vehicle type, vehicle registered province, crash time, crash type, response time of emergency medical service, and horizontal curvature and vertical grade of the crash location, were also found to have significant effects on the crash severity. To alleviate the severity levels of crashes on rainy days, some engineering countermeasures are suggested, in addition to the implemented strategies.

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Section: Introductionmentioning

confidence: 99%

Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

Zeng

Hao

Lee

et al. 2020

IJERPH

Self Cite

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“…During the last decade, there have been a variety of different approaches and perspectives [1][2][3] presented in safety evaluation, and there are some studies on expressway safety [4][5][6]. Among them, regression analysis has been widely applied to investigate the relationship between injury severity and influencing factors.…”

Section: Introductionmentioning

confidence: 99%

Investigation of injury severity in urban expressway crashes: A case study from Beijing

Yuan

Zhao

et al. 2020

PLoS ONE

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Urban expressway is the main artery of traffic network, and an in-depth analysis of the crashes is crucial for improving the traffic safety level of expressways. This study intended to address the injury severity of expressways in Beijing by proposing Bayesian ordered logistic regression model. Crash data were collected from urban express rings and expressways in 2015 and 2016. The results showed that crash location, time and crash season are significant variables influencing injury severity. The findings revealed that the proposed model can address the ordinal feature of injury severity, while accommodating the data with small sample sizes that may not adequately represent population characteristics. The conclusions can provide the management departments with valuable suggestions for the injury prevention and safety improvement on the urban expressways.

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“…Beyond these values in the volume-to-capacity ratio, the accident rate increases again, finally displaying a U-shaped functional form that illustrates the negative safety externality produced by congestion that increases exponentially with traffic volumes. Some other authors also argued that, on interurban roads, the increased number of crashes is probably due to driver behavior [35], for example, frequent lane changing and keeping too close to the vehicle in front. They also pointed to the complexity of interactions among vehicles as an increasing risk factor.…”

Section: Literature On the Relationship Between Congestion And Road Smentioning

confidence: 99%

Congestion, Road Safety, and the Effectiveness of Public Policies in Urban Areas

Albalate

Fageda

2019

Sustainability

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Congestion and road accidents are both considered essential challenges for sustainable mobility in large cities, but their relationship is only partially explored by the literature. In this paper, we empirically examine different public policies aimed at reducing urban traffic congestion but which may also have indirect effects on road accidents and casualties. We use data from 25 large urban areas in Spain for the period 2008–2017 and apply econometric methods to investigate how a variety of public policies do affect both negative externalities. Although the relationship between congestion and road safety is complex, we find that the promotion of certain modes of public transportation and the regulation of parking spaces may contribute to making cities more sustainable, both in terms of the time spent traveling and the probability of being affected by an accident. Considering whether policies addressing congestion improve or damage road safety as an indirect result is a useful approach for local policy-makers and planners in their attempt to get sustainable transportation outcomes.

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Analysis of safety factors for urban expressways considering the effect of congestion in Shanghai, China

Cited by 55 publications

References 25 publications

Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

Investigation of injury severity in urban expressway crashes: A case study from Beijing

Congestion, Road Safety, and the Effectiveness of Public Policies in Urban Areas

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