Economic feasibility of safety improvements on low-volume roads

Al-Kaisy, Ahmed; Ewan, Levi; Hossain, Fahmid

doi:10.1080/19439962.2016.1212446

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…The framework of the proposed scoring scheme for rural intersections is very similar to the one for roadway segments discussed in this section. However, it is not provided in this section for space constraints, and interested readers are encouraged to check reference [12] for details.…”

Section: Overview Of Proposed Screening Methodsmentioning

confidence: 99%

An Empirical Evaluation of a New Heuristic Method for Identifying Safety Improvement Sites on Rural Highways: An Oregon Case Study

Dhakal,

Al-Kaisy

2024

Sustainability

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Road safety is considered one of the fundamental factors for sustainable mobility, which requires establishing effective highway safety management programs and processes. Identifying safety improvement sites (network screening) is a critical step in the state roadway safety programs. The overall effectiveness of these programs largely relies on the robustness of the network screening method in identifying sites with high potential for safety improvements. This study investigates the network screening performance of a new proposed methodology that employs heuristic scoring schemes to account for roadway and roadside characteristics, crash history, and traffic exposure. The new method, originally proposed for use on rural low-volume roads, is simplistic in that it does not require exact and detailed information on traffic and geometric characteristics and can still be applied in the absence of crash data. The performance evaluation is conducted using a sample of 1495 miles of rural two-lane highway segments in Oregon. The effectiveness of the proposed method is assessed using observed crash history and compared to the well-established Empirical Bayes method as a reference. The effect of traffic level on the performance of the proposed method was evaluated using separate analyses for lower and higher traffic volume segments. The study findings indicate that the effectiveness of the proposed method in identifying sites with potential safety improvements is overall high and slightly exceeded that of the more sophisticated and data-intensive Empirical Bayes method. When data were stratified by traffic volume, the proposed method was found to be more effective for lower volume roads; however, the Empirical Bayes method outperformed the proposed method for higher volume roads.

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Section: Overview Of Proposed Screening Methodsmentioning

confidence: 99%

An Empirical Evaluation of a New Heuristic Method for Identifying Safety Improvement Sites on Rural Highways: An Oregon Case Study

Dhakal,

Al-Kaisy

2024

Sustainability

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“…Suitable weights were assigned to each element and then the elements along with their weights were used to calculate a risk index for a site. The same author also proposed a scoringbased network screening approach [11,12] using relationships between crash occurrences and risk factors, for Montana. A study from New Zealand [13] have used speed to identify at-risk horizontal curves on rural highways.…”

Section: Methods Proposed In Literaturementioning

confidence: 99%

Network Screening on Low-Volume Roads using Risk Factors

Huda,

Al-Kaisy

2023

Preprint

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This paper proposes a new method for network screening on rural low-volume roads. These roads are important as they provide critical access to agricultural land and tourist attractions. Most low-volume roads belong to the lowest functional class (local rural roads) and thus are built to lower design standards. The conventional hot spot network screening techniques may not be appropriate for low-volume roads due to the sporadic nature of crashes occurring on these roads. Contrarily sophisticated network screening approaches require extensive roadway and traffic data that are often unavailable to local agencies for lack of resources, and/or lack of technical expertise. This research attempts to address these obstacles in low-volume roads network screening which aims to identify candidate sites for safety improvements. The research used an extensive low-volume road sample from the state of Oregon and the Empirical Bayes expected number of crashes in developing the proposed models for network screening. The proposed models do not require exact measurement of roadway geometric features as all geometric variables were classified into categories that are easy to compile by local agencies. Further, the method could be used with and without traffic data, without compromising the effectiveness of the network screening process.

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“…The properly calibrated model can then be used to run simulations of different alternative scenarios. These models have been used in the past to evaluate the effectiveness of specific maintenance measures involving, for example, pavements [30][31][32], lighting [33,34], left-turn maneuver signal [35], shoulder paving [36], medians [37], rumble strips [38], or generally cost-effective interventions [39]. However, the literature studies often deal with the evaluation of each intervention separately, without considering possible solutions affecting different infrastructure characteristics.…”

Section: Literature Reviewmentioning

confidence: 99%

Safety Impact Prediction of Redesigning National Roads Crossing Residential Areas: An Italian Case Study

Crispino,

Camozzi,

Ketabdari

et al. 2024

Applied Sciences

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The purpose of this study is to determine the safety effectiveness of an intervention on an existing road by using predictive methods. Predictive methods allow the benefit of the intervention to be quantified in terms of crash reduction. Currently, the most widely used model is reported in the Highway Safety Manual, developed in the US. The HSM model is adapted to the Italian context through a calibration procedure. The model is then applied to two future scenarios: in the absence and presence of intervention. The redesign intervention consists of rehabilitating some road sections and constructing five tunnel bypasses to avoid crossing residential areas. The comparison between the ‘with’ and ‘without’ scenario estimated an overall reduction in the number of accidents of around 45%. The variant scenario is based on reasonable assumptions that allowed the determination of the proportion of traffic that will be diverted to the variant. In addition, several alternative future scenarios are considered to assess a possible different trend in assumed traffic distribution. Moreover, a possible overall increase or reduction in total traffic affecting the road is taken into account. The results showed that the intervention provided significant benefits even with increased traffic, proving the resilience of the intervention.

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Economic feasibility of safety improvements on low-volume roads

Cited by 4 publications

References 2 publications

An Empirical Evaluation of a New Heuristic Method for Identifying Safety Improvement Sites on Rural Highways: An Oregon Case Study

An Empirical Evaluation of a New Heuristic Method for Identifying Safety Improvement Sites on Rural Highways: An Oregon Case Study

Network Screening on Low-Volume Roads using Risk Factors

Safety Impact Prediction of Redesigning National Roads Crossing Residential Areas: An Italian Case Study

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