scholarly journals Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

2021 ◽  
Vol 13 (24) ◽  
pp. 13837
Author(s):  
Vladimir Pajković ◽  
Mirjana Grdinić-Rakonjac
Keyword(s):  
Road Safety ◽  
Safety Performance ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Data Set ◽  
Qualitative Measure ◽  
Measure Of Performance ◽  
Grey Relational ◽  
Ranking Position ◽  
Behaviour Data

Self-reported behavioural data, being often linguistic variables that represent a qualitative measure of respondents’ opinions/attitudes, are vague, uncertain, and fuzzy in nature. A road safety performance index, based on these fuzzy data, should consider this uncertainty. In this study, fuzzy numbers were used to describe self-reported behaviour on Montenegrin roads, which was further integrated into the data envelopment analysis (DEA), a technique for measuring the relative performance of decision-making units (DMUs). The vagueness of the performance scores obtained in this way was treated with grey relational analysis (GRA). GRA was applied to the cross-efficiency (CE) matrix constructed by the DEA to distinguish Montenegrin municipalities’ performance, with the main goal of describing road safety in the observed territories in the environment of uncertain/grey data. It is concluded that the proposed DEA–GRA model, based on fuzzy data, provides a more reasonable and encompassing measure of performance, and with which the overall ranking position of municipalities can be obtained.

scholarly journals Evaluation of road safety performance at micro level using grey data

2020 ◽  
Vol 66 (3) ◽  
pp. 17-21
Author(s):  
Mirjana Grdinić-Rakonjac ◽  
Boris Antić ◽  
Vladimir Pajković
Keyword(s):  
Road Safety ◽  
Safety Evaluation ◽  
Safety Performance ◽  
Data Envelopment ◽  
Relational Analysis ◽  
Access Road ◽  
Level Data ◽  
Micro Level ◽  
Grey Relational ◽  
Ranking Position

The aim of the study is to access road safety evaluation at micro level. Data Envelopment Analysis (DEA) is integrated with Grey Relational Analysis (GRA) in order to describe municipalities’ road safety providing a more reasonable and encompassing performance based on which the overall ranking position of municipalities is obtained.

scholarly journals Calibration of the Highway Safety Manual and the SafetyAnalyst Methodologies for Ontario Highways

2021 ◽  
Author(s):  
Ali Sabbaghi
Keyword(s):  
Road Safety ◽  
Goodness Of Fit ◽  
Highway Safety ◽  
Safety Performance ◽  
Data Set ◽  
Rural Highways ◽  
Part C ◽  
Highway Safety Manual ◽  
Safety Performance Functions ◽  
Central Regions

SafetyAnalyst and the Highway Safety Manual (HSM) are two tools that are expected to revolutionize highway safety analyses. A key issue that allows SafetyAnalyst and HSM to become the new standards in road safety engineering is the calibration of their safety performance functions (SPFs) across time and jurisdictions. In this study, the methodologies of SafetyAnalyst and HSM are calibrated for Ontario to evaluate the effective transferability of their SPFs to local topographical conditions. A SafetyAnalyst calibration has been completed for Ontario highways and freeways, intersections, and ramps for six years (1998-2003) of traffic and accident counts. A data set which consists of 78 kilometres of rural two-lane two-way highways and 71 three- and four-legged stop controlled intersections located in the eastern and central regions of the Ministry of Transportation of Ontario (MTO) with six years (2002 to 2007) of traffic volume and collision counts has been used to evaluate the HSM SPFs to Ontario data. Several goodness-of-fit (GOF) measures are computed to assess the transferability and suitability of the crash models for applicability in Ontario. The study suggests that while most of the SafetyAnalyst SPFs for highways and ramps are not adaptable to Ontario data, the recalibrated SafetyAnalyst SPFs for intersections and also the recalibrated HSM Part C predictive models for two-lane rural highways and intersections provide satisfactory results in comparison to the crash models developed specifically for Ontario. Finally, this research highlights the substantial need for future improvements in data quality for more reliable safety performance estimations and evaluations.

scholarly journals Calibration of the Highway Safety Manual and the SafetyAnalyst Methodologies for Ontario Highways

2021 ◽  
Author(s):  
Ali Sabbaghi
Keyword(s):  
Road Safety ◽  
Goodness Of Fit ◽  
Highway Safety ◽  
Safety Performance ◽  
Data Set ◽  
Rural Highways ◽  
Part C ◽  
Highway Safety Manual ◽  
Safety Performance Functions ◽  
Central Regions

SafetyAnalyst and the Highway Safety Manual (HSM) are two tools that are expected to revolutionize highway safety analyses. A key issue that allows SafetyAnalyst and HSM to become the new standards in road safety engineering is the calibration of their safety performance functions (SPFs) across time and jurisdictions. In this study, the methodologies of SafetyAnalyst and HSM are calibrated for Ontario to evaluate the effective transferability of their SPFs to local topographical conditions. A SafetyAnalyst calibration has been completed for Ontario highways and freeways, intersections, and ramps for six years (1998-2003) of traffic and accident counts. A data set which consists of 78 kilometres of rural two-lane two-way highways and 71 three- and four-legged stop controlled intersections located in the eastern and central regions of the Ministry of Transportation of Ontario (MTO) with six years (2002 to 2007) of traffic volume and collision counts has been used to evaluate the HSM SPFs to Ontario data. Several goodness-of-fit (GOF) measures are computed to assess the transferability and suitability of the crash models for applicability in Ontario. The study suggests that while most of the SafetyAnalyst SPFs for highways and ramps are not adaptable to Ontario data, the recalibrated SafetyAnalyst SPFs for intersections and also the recalibrated HSM Part C predictive models for two-lane rural highways and intersections provide satisfactory results in comparison to the crash models developed specifically for Ontario. Finally, this research highlights the substantial need for future improvements in data quality for more reliable safety performance estimations and evaluations.

scholarly journals Assessing Road Safety Performance by Data Envelopment Analysis--The Case of Brazil

CICTP 2014 ◽  
2014 ◽  
Author(s):  
Jorge Tiago Bastos ◽  
Yongjun Shen ◽  
Elke Hermans ◽  
Tom Brijs ◽  
Geert Wets ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Road Safety ◽  
Safety Performance ◽  
Data Envelopment

scholarly journals Identifying the Most Significant Indicators of the Total Road Safety Performance Index- Case Study: European Union

2019 ◽  
Vol 4 (1-2) ◽  
Author(s):  
Milan Tešić ◽  
Elke Hermans ◽  
Krsto Lipovac ◽  
Dalibor Pešić
Keyword(s):  
Performance Index ◽  
Road Safety ◽  
Composite Index ◽  
Safety Performance ◽  
Data Envelopment ◽  
Safety Level ◽  
The Road ◽  
Wide Range ◽  
Selection Of

The review of the national and international literature dealing with the assessment of the road safety level has shown great efforts of the authors who aimed to define the methodology for calculating the composite road safety index on a territory (region, state, etc.). The procedure for obtaining a road safety composite index of an area has been largely harmonized. The question that has not been fully resolved yet concerns the selection of indicators. There is a wide range of road safety indicators used to show the road safety situation in a territory. The road safety performance index (RSPI) obtained on the basis of a larger number of safety performance indicators (SPIs) enables decision makers to more precisely define earlier goal- oriented actions. Recording a broader comprehensive set of SPIs helps identify the strengths and weaknesses of an area’s road safety system. Therefore, there is a need for calculating a road safety performance index with a limited number of indicators (RSPIlnn) which will provide a comparison of sufficient quality, of as many countries as possible. The application of the Data Envelopment Analysis (DEA) method and correlation analysis has helped to check if the RSPIlnn is likely to be of sufficient quality. A strong correlation between the RSPIlnn and the RSPI based on all indicators has been identified using the proposed methodology. This will help achieve the standardization of indicators including data collection procedures and selection of the key list of indicators that need to be monitored.

scholarly journals Construction of Road Safety Composite Indicator Using Grey Relational Analysis

2021 ◽  
Vol 33 (1) ◽  
pp. 103-116
Author(s):  
Mirjana Grdinić-Rakonjac ◽  
Boris Antić ◽  
Dalibor Pešić ◽  
Vladimir Pajković
Keyword(s):  
Grey Relational Analysis ◽  
Road Safety ◽  
Hierarchical Structures ◽  
Composite Indicator ◽  
Safety Performance ◽  
Policy Makers ◽  
Relational Analysis ◽  
Proposed Model ◽  
Systematic Methodology ◽  
Grey Relational

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.

Portfolio Return, Risk and Market Timing: A Non-Parametric Approach

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Joyjit Dhar ◽  
Ram Pratap Sinha
Keyword(s):  
Risk Measure ◽  
Market Timing ◽  
Evaluation Framework ◽  
Data Envelopment ◽  
Portfolio Evaluation ◽  
Period 2 ◽  
Measure Of Performance ◽  
Standard Risk ◽  
Portfolio Return ◽  
Non Parametric

The present study extends the portfolio evaluation framework provided by Sharpe (1964) and Treynor (1965) by including the parameter of market timing with the help of a non-parametric framework. Data envelopment analysis has been used in the present exercise to evaluate the performance 79 mutual funds schemes operating in India for three different phases using two different models. Estimation of technical efficiency on the basis of both the models suggests that period 2 performance is substantially divergent from period 1 and 3. Also, higher moments framework gives a better measure of performance as it accounts not only the standard risk measure but also for skewness and kurtosis characteristics of returns.

Sign in / Sign up

Export Citation Format

Share Document