Benchmarking of the road safety performance among the regions by using DEA

Antić, Boris; Grdinić, Mirjana; Pešić, Dalibor; Pajković, Vladimir

doi:10.1016/j.trpro.2020.02.065

Cited by 19 publications

(5 citation statements)

References 15 publications

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“…This research chose this nonparametric method due to research objectives and the available database. Antic et al (2020) add that DEA can be a valuable tool for benchmarking. Farrell (1957) represents the concept of technical efficiency, where efficiency is measured by calculating the ratio between the output produced against the various utilized input combinations.…”

Section: Methods Of Analysismentioning

confidence: 99%

Efficiency of the National Economic Recovery Program in Withstanding the Impact of the Covid-19 Pandemic

Dinar¹

2022

JLS

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This study aims to assess the efficiency of the National Economic Recovery (PEN) program budget launched by the government to reduce the impact of the pandemic on public welfare in 34 provinces in Indonesia. Efficiency measurements computed using Data Envelopment Analysis (DEA) show that only 12 provinces are efficient at holding the increase in poverty and unemployment by implementing the PEN budget. West Papua Province is efficient despite its unemployment and poverty levels being higher than the national average. West Java Province is likely inefficient and can potentially reduce the unemployment rate with the PEN budget implementation if it is efficient. Maluku Province has the potential to further reduce its poverty with the PEN budget if it is efficient. Not all provinces with low unemployment and poverty rates efficiently implement the PEN budget and vice versa. This study evaluates the regional government's performance from an efficiency point of view. The efficient provinces discovered from the research can become a benchmark for other provinces to maximize the decline in welfare indicators by using the available budget.

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Section: Methods Of Analysismentioning

confidence: 99%

Efficiency of the National Economic Recovery Program in Withstanding the Impact of the Covid-19 Pandemic

Dinar¹

2022

JLS

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“…For example, recorded SPIs, such as the number of drivers on the roads speeding or driving under the influence of alcohol, are not fully known because it is impossible to get accurate information. SPIs based on traffic violations that are used as indicators by some researchers, [20,21], are also a reason for the vagueness of the final score since this type of data can represent the approximate situation on roads but not the precise state of safety and drivers' behavior. Likewise, Lloyd and Forster [22] stated that risk exposures (especially accident risk, which is defined as the rate of accidents per vehicle kilometer traveled) represent uncertain information.…”

Section: Uncertain Nature Of Safety Performance Indicatorsmentioning

confidence: 99%

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Pajković

Grdinić-Rakonjac

Antić

2022

Journal of Advanced Transportation

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As the need to assess the level of road safety grows, there is a noticeable tendency of experts to use one overall composite index that contains information on a number of safety performance indicators (SPIs). Indicators commonly used in road safety assessment are numerical, and their natural uncertainty and vagueness are often overlooked. However, there are also SPIs that are rather linguistic, such as data on driver behavior, which are most often collected through questionnaires and are considered qualitative, imprecise, and fuzzy. Together with inappropriate selection of weighting and aggregation methods, such data can be a source of uncertainty and can lead to unreliable results and erroneous conclusions. In this regard, the present study provides a systematic and efficient hybrid method that integrates three different procedures to deal with unavoidable uncertainty in each step of index construction. The application of fuzzy linguistic rating grasp insight into the ambiguity that is intrinsic in drivers’ self-assessment. Entropy describes each observed behavior by quantifying the disorder of a system. Grey relational analysis aggregates behavioral indicators into a composite index, doubting their sufficiency and completeness. A case study of Montenegro has been provided to demonstrate the practical applicability of the proposed method in safety assessment under uncertainty. Results abstracted not wearing the seatbelt as the most common negative behavior among drivers in Montenegro, followed by using the telephone while driving, speeding, and driving under the influence of alcohol. In addition, municipalities are ranked according to the level of road safety.

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“…It should be noted that the indicators reflecting behaviour should be the rates of people wearing seatbelts, rates of driving under the influence of alcohol, etc., but in Montenegro, such data are unavailable. Therefore, to address those behaviours, the number of violations recorded by the police (data are collected from the Ministry of the Interior) is considered, as suggested by Antić et al [28]. To describe the municipality more correctly, the number of violations is given as the rate per thousand inhabitants.…”

Section: Selected Indicatorsmentioning

confidence: 99%

Construction of Road Safety Composite Indicator Using Grey Relational Analysis

Grdinić-Rakonjac

Antić

Pešić

et al. 2021

PROMET

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Aggregation of different variables into one road safety performance index is a popular concept in evaluating road safety and comparing the performance of territories/entities. This paper presents the development of a novel and innovative weighting methodology using grey relational analysis. Based on the proposed model, ten hierarchical road safety indicators were selected in terms of a two-layered model with three categories related to behaviour, safety and system. Grey weights are assigned to the categorized indicators in each layer, and the grey road safety composite indicator for each entity (21 selected territories) is calculated by the weighted sum approach. With relatively high weights, this systematic methodology can serve the policy makers in targeting the risk domains where improvements are needed. The results clearly illustrate effectiveness in addressing a large number of indicators with hierarchical structures.

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Benchmarking of the road safety performance among the regions by using DEA

Cited by 19 publications

References 15 publications

Efficiency of the National Economic Recovery Program in Withstanding the Impact of the Covid-19 Pandemic

Efficiency of the National Economic Recovery Program in Withstanding the Impact of the Covid-19 Pandemic

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Construction of Road Safety Composite Indicator Using Grey Relational Analysis

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