scholarly journals Evaluating Highway Traffic Safety: An Integrated Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yanqun Yang ◽  
Said M. Easa ◽  
Zhibin Lin ◽  
Xinyi Zheng
Keyword(s):  
Statistical Analysis ◽  
Traffic Safety ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Highway Safety ◽  
Highway Traffic ◽  
Safety Level ◽  
Expert Opinions ◽  
Network Process ◽  
Using Data

This paper presents a novel methodology for determining the overall highway safety level by integrating statistical analysis and analytic network process (ANP) with set pair analysis (SPA) which is applied in the evaluation of the overall highway safety for the first time. The methodology accounts for both quantitative and qualitative factors that contribute to traffic safety. The statistical analysis uses crash, alignment, intersection, and other data to determine the significant indices (variables) that affect safety. These indices are then combined with the planning (qualitative) indices to determine the weights of all indices based on expert opinions using ANP. Finally, the overall safety level of the highway is determined using SPA. The methodology is illustrated using data collected from two highways in China. The results demonstrate that the proposed methodology is sound and reliable. The methodology is applicable to existing or new highways and can help to effectively evaluate the overall safety of a highway and develop long-term strategies for safety improvements.

scholarly journals DECISION SUPPORT SYSTEM FOR SMARTPHONE RECOMMENDATION: THE COMPARISON OF FUZZY AHP AND FUZZY ANP IN MULTI-ATTRIBUTE DECISION MAKING

SINERGI ◽  
2020 ◽  
Vol 25 (1) ◽  
pp. 101
Author(s):  
Okfalisa Okfalisa ◽  
Hidayati Rusnedy ◽  
Dwi Utari Iswavigra ◽  
B. Pranggono ◽  
Elin Haerani Haerani ◽  
...  
Keyword(s):  
Decision Making ◽  
Execution Time ◽  
Fuzzy Ahp ◽  
Random Access ◽  
Analytic Network Process ◽  
Application Development ◽  
Fuzzy Anp ◽  
Expert Opinions ◽  
Network Process ◽  
Multi Attribute Decision Making

Previous researches outlined the advantages of the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods in solving Multi-Attribute Decision Making (MADM) problems. The advancement of the above methods was continually developed as an effort to cover up various weaknesses. Mainly related to the consistency and linguistic variables in translating the expert opinions. Thus, it initialized the emergence of Fuzzy AHP (F-AHP) and Fuzzy ANP (F-ANP). Due to the restricted operation of these algorithms in smartphone selection, this research attempted to investigate the effectiveness of both methods in providing the analysis of criteria weight, the final recommendation weight, the product recommendation weight, and the execution time in DSS-SmartPhoneRec application development. A survey of one hundred respondents of University students identified the dominant criteria in selecting the smartphone, namely price, Random Access Memory (RAM), processor, internal memory, and camera. Hence, five alternative products were then chosen as the appropriate smartphones’ recommendations based on the respondent’s preferences.  As an automatic tool, a DSS-SmartPhoneRec application was built to analyze and compare between F-AHP and F-ANP methods in resolving the smartphone selection cases. It revealed that the level of consistency of criteria weight, the final weight of recommendation, and the weight that the product-based F-ANP was 40% greater than F-AHP. In terms of execution time, F-AHP had a shorter time than F-ANP. Meanwhile, the comparison of products recommendation from DSS-SmartPhoneRec and a manual test showed that F-ANP was 16% more in line with the respondents’ predilection. In a nutshell, the DSS-SmartPhoneRec administered the devote smartphone recommendations based on the user’s expectation. The comparison analysis furnished a learning outcome for the users in determining the appropriate MADM method tailored to the type of cases.

scholarly journals EVALUATION OF NATURAL GAS STRATEGIES OF TURKEY IN EAST MEDITERRANEAN REGION: A STRENGTHS-WEAKNESSES-OPPORTUNITIES-THREATS AND ANALYTIC NETWORK PROCESS APPROACH

2018 ◽  
Vol 24 (3) ◽  
pp. 1041-1062 ◽  
Author(s):  
Tolga GENÇ ◽  
Mehmet KABAK ◽  
Eren ÖZCEYLAN ◽  
Cihan ÇETINKAYA
Keyword(s):  
Natural Gas ◽  
Mediterranean Region ◽  
Swot Analysis ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
East Mediterranean ◽  
Global Issues ◽  
Network Process ◽  
Important Form ◽  
East Mediterranean Region

Demand for natural gas has severely challenged the world supply among other types of energy sources such as coal, geothermal, nuclear and etc. Natural gas is the most important form of energy because it is clean, abundant, reliable and versatile. Due to the limited and transportable characterizes of natural gas, sharing pipelines for natural gas with other nations can either bring peace and stability or create chaos. To avoid insoluble strategies, it is very explicit to decide scientifically for these kinds of global issues. To do so, a SWOT (Strengths, Weaknesses, Opportunities and Threats) – ANP (Analytic Network Process) integrated approach is presented to evaluate natural gas policies for Turkey in terms of East Mediterranean Region. In the first step, the appropriate strategies, SO (strengths-opportunities), ST (strengths-threats), WO (weaknesses-opportunities) and WT (weaknesses-threats) are determined via SWOT analysis including four criteria, 20 sub-criteria and seven strategies. Due to inability of SWOT analysis to prioritize the criteria and rank the strategies, ANP approach which also considers the dependency between criteria is applied in the second step. Finally, the proposed SWOT-ANP approach is compared with other multi criteria decision making (MCDM) techniques to represent the effectiveness and applicability of the model.

Maintenance Strategy Evaluation Using ANP and Goal Programming

2012 ◽  
pp. 117-138
Author(s):  
Sarojini Jajimoggala ◽  
V. V. S. Kesava Rao ◽  
Beela Satyanarayana
Keyword(s):  
Goal Programming ◽  
Multiple Criteria Decision Making ◽  
Cost Savings ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Maintenance Strategy ◽  
Maintenance Policy ◽  
Strategy Evaluation ◽  
Network Process ◽  
Criteria Weights

An optimal maintenance strategy mix is necessary for increasing availability and reliability levels of production facilities without significantly increasing operational costs. The selection of maintenance strategies is a typical Multiple Criteria Decision-Making (MCDM) problem with conflicting goals. Consideration of interdependence among the criteria and alternative policies for maintenance strategy provides valuable cost savings and greater benefits for any hybrid flow systems. For any decision maker, it is convenient to prioritize the criteria of MCDM problems and goals of goal programming problems in fuzzy terms. This paper presents an integrated approach for maintenance policy selection, using fuzzy Analytic Network Process (ANP) within a Goal Programming, based on fuzzy preemptive priority where goal hierarchies are specified in different levels of fuzzy importance. To overcome the criticism of inconsistency, unbalanced scale of judgments and uncertainty in the pair-wise comparison process, criteria weights are determined using modified fuzzy LLSM method.

scholarly journals Engineering Solutions to Enhance Traffic Safety Performance on Two-Lane Highways

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Lina Wu ◽  
Jiangwei Chu ◽  
Yusheng Ci ◽  
Shumin Feng ◽  
Xingwang Liu
Keyword(s):  
Traffic Safety ◽  
Empirical Bayes ◽  
Practical Importance ◽  
Cost Effective ◽  
Highway Safety ◽  
Safety Performance ◽  
Highway Traffic ◽  
Research Attention ◽  
Research Perspectives ◽  
Sight Distance

Improving two-lane highway traffic safety conditions is of practical importance to the traffic system, which has attracted significant research attention within the last decade. Many cost-effective and proactive solutions such as low-cost treatments and roadway safety monitoring programs have been developed to enhance traffic safety performance under prevailing conditions. This study presents research perspectives achieved from the Highway Safety Enhancement Project (HSEP) that assessed safety performance on two-lane highways in Beijing, China. Potential causal factors are identified based on proposed evaluation criteria, and primary countermeasures are developed against inferior driving conditions such as sharp curves, heavy gradients, continuous downgrades, poor sight distance, and poor clear zones. Six cost-effective engineering solutions were specifically implemented to improve two-lane highway safety conditions, including (1) traffic sign replacement, (2) repainting pavement markings, (3) roadside barrier installation, (4) intersection channelization, (5) drainage optimization, and (6) sight distance improvement. The effectiveness of these solutions was examined and evaluated based on Empirical Bayes (EB) models. The results indicate that the proposed engineering solutions effectively improved traffic safety performance by significantly reducing crash occurrence risks and crash severities.

On the Application of Ant Colony Neural Network for the Highway Traffic Safety Facilities System

2014 ◽  
Vol 989-994 ◽  
pp. 2675-2678
Author(s):  
Guo Ling Jia ◽  
Rong Guo Ma ◽  
Ya Juan Deng
Keyword(s):  
Neural Network ◽  
Traffic Safety ◽  
Evaluation Model ◽  
Influence Factors ◽  
Highway Safety ◽  
Ant Colony ◽  
Evaluation Index System ◽  
System Evaluation ◽  
Highway Traffic ◽  
Freeway Traffic

Highway traffic safety facilities system evaluation plays an important role to relieve highway safety problem. From the perspective of system engineering, the influence factors of the current situation are comprehensively considered, the freeway traffic safety facilities system evaluation index system is established, and the application of ant colony neural network evaluation model is constructed. The purpose is to provide the beneficial references for freeway traffic safety facilities system evaluation.

scholarly journals PRIORITISING COMPETITIVE STRATEGIES BASED ON THE ANP APPROACH: A CASE OF THE LATVIAN TELECOMMUNICATION COMPANY

2018 ◽  
Author(s):  
Irina Voronova ◽  
Vladimirs Shatrevich ◽  
Mihails Gavrilovs ◽  
Viktorija Skvarciany
Keyword(s):  
Development Strategy ◽  
Swot Analysis ◽  
Analytic Network Process ◽  
Competitive Strategies ◽  
Analytic Hierarchy ◽  
Company Strategy ◽  
Expert Opinions ◽  
Telecommunication Company ◽  
Network Process ◽  
Hierarchy Process

The present study provides a comparative analysis of development strategy selection and presents an overview of multiple-criteria decision analysis (MCDA) in strategic management. The main aim of the paper is to use the analytic network process (ANP) as one of MCDA methods for determining the best strategy. Based on expert opinions and analytic hierarchy process (AHP), the authors have identified and evaluated SWOT analysis factors used for the development of a company strategy. To investi-gate the interaction of external and internal environment, the authors have used the ANP that allows obtaining relative measurement of the influence of SWOT elements. The ANP is useful with regard to interdependent relationship between multi-objectives and multi-stakeholders’ environment. The algo-rithm of quantitative evaluation of telecommunication company strategies is also presented in the paper.

Development of Balanced Scorecard for healthcare using Interpretive Structural Modeling and Analytic Network Process

2014 ◽  
Vol 11 (3) ◽  
pp. 232-256 ◽  
Author(s):  
Kailash Meena ◽  
Jitesh Thakkar
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Balanced Scorecard ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Network Process ◽  
Care System

Purpose – The purpose of this paper is to develop a Balanced Scorecard-based performance measurement framework for health care system. Design/methodology/approach – An integrated ISM-ANP-based quantitative approach is used for the development of balance scorecard for health care system. The necessary insights are drawn from the secondary literature. Findings – This research identifies Key Performance Indicators and their interrelationships for health care system. An integrated approach of ISM and ANP is employed for the development of balance scorecard. Research limitations/implications – The findings of the research are based on insights gained from secondary literature and an analysis of five cases in health care segment and hence generalization of proposed framework is limited to the system representing some commonalities with chosen cases. Practical implications – Health care is the diagnosis, treatment and prevention of disease, illness, injury and other physical and mental impairments in humans. Access to health care varies across countries, groups and individuals, largely influenced by social and economic conditions as well as the health policies in place. The changing nature of today's health care organizations, including pressure to reduce costs, improve the quality of care and meet stringent guidelines, has forced health care professionals to re-examine how they evaluate their performance. Originality/value – The Balanced Scorecard health care expanded organization measures beyond financial analysis. It was first proposed by Robert S. Kaplan and David P. Norton in their book “The Balanced Scorecard (1996, Harvard Business School Press).” This research reports a development of Balanced Scorecard for health care using an integrated approach of Interpretive Structural Modeling and Analytic Network Process is used.

Prioritizing and Optimizing Disaster Recovery Solution using Analytic Network Process and Multi Attribute Utility Theory

2019 ◽  
Vol 18 (01) ◽  
pp. 171-207 ◽  
Author(s):  
Viral Gupta ◽  
P. K. Kapur ◽  
Deepak Kumar
Keyword(s):  
Disaster Recovery ◽  
Utility Theory ◽  
Banking Sector ◽  
Integrated Approach ◽  
Analytic Network Process ◽  
Security Technology ◽  
Enterprise Application ◽  
It Systems ◽  
Multi Attribute Utility Theory ◽  
Network Process

Selection of a suitable disaster recovery solution is an essential activity performed in an enterprise to facilitate recovery of critical business functions and Information Technology (IT) systems within a tolerable time limit known as disaster recovery time (DRT). The estimation of optimal DRT plays a significant role in IT as it influences overall costs required to ensure business continuity. The estimation of optimal DRT depends upon the capabilities of a chosen disaster recovery solution and multiple conflicting attributes. This paper presents an integrated approach to selecting the best disaster recovery solution using analytic network process (ANP) and estimating optimal DRT using Multi-Attribute Utility Theory (MAUT). ANP is applied to determine the best disaster recovery solution using seven criteria: people, recovery objectives, security, technology, cost, site infrastructure, and regulatory. MAUT estimates the optimal DRT for the best disaster recovery solution based on three conflicting attributes: cost, reliability, and processed backlog transactions. The proposed approach applies to an enterprise application in the banking sector and this paper tests its effectiveness by comparing the results from four different enterprises. This study offers valuable insights to the disaster recovery practitioner to select the best disaster recovery solution and to estimate optimal DRT.

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