The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator

An adequately functionally located traffic infrastructure is an important factor in the mobility of people because it affects the quality of traffic, safety and efficiency of carrying out transportation activities. Locating a roundabout on an urban network is an imperative for road engineering to address traffic problems such as reduction of traffic congestion, enhancement of security and sustainability, etc. Therefore, this paper evaluates potential locations for roundabout construction using Rough BWM (Best Worst Method) and Rough WASPAS (Weighted Aggregated Sum Product Assessment) models. Determination of relative criterion weights on the basis of which the potential locations were evaluated was carried out using the Rough BWM method. In this paper, in order to enable the most precise consensus for group decision-making, a Rough Hamy aggregator has been developed. The main advantage of the Hamy mean (HM) operator is that it can capture the interrelationships among multi-input arguments and can provide DMs more options. Until now, there is no research based on HM operator for aggregating imprecise and uncertain information. The obtained indicators are described through eight alternatives. The results show that the fifth and sixth alternatives are the locations that should have a priority in the construction of roundabouts from the perspective of sustainable development, which is confirmed throughout changes of parameter k and with comparing to other methods in the sensitivity analysis.

[1]  Shinhye Joo,et al.  A multi-criteria analysis framework including environmental and health impacts for evaluating traffic calming measures at the road network level , 2019 .

[2]  Jian Xue,et al.  Location selection of intra-city distribution hubs in the metro-integrated logistics system , 2018, Tunnelling and Underground Space Technology.

[3]  Jurgita Antucheviciene,et al.  An approach for robust decision making rule generation: Solving transport and logistics decision making problems , 2018, Expert Syst. Appl..

[4]  Mercedes Castro-Nuño,et al.  Assessing urban road safety through multidimensional indexes: Application of multicriteria decision making analysis to rank the Spanish provinces , 2018, Transport Policy.

[5]  Edmundas Kazimieras Zavadskas,et al.  Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages , 2018, Appl. Soft Comput..

[6]  Jurgita Antucheviciene,et al.  A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products , 2018, Inf..

[7]  Reginald R. Souleyrette,et al.  UPGRADING TRAFFIC CIRCLES TO MODERN ROUNDABOUTS TO IMPROVE SAFETY AND EFFICIENCY – CASE STUDIES FROM ITALY , 2018 .

[8]  Edmundas Kazimieras Zavadskas,et al.  A Novel Multicriteria Approach – Rough Step-Wise Weight Assessment Ratio Analysis Method (R-SWARA) and Its Application in Logistics , 2018 .

[9]  Edmundas Kazimieras Zavadskas,et al.  Decision Making Methods Based on Fuzzy Aggregation Operators: Three Decades Review from 1986 to 2017 , 2018, Int. J. Inf. Technol. Decis. Mak..

[10]  Slavko Vesković,et al.  A rough multicriteria approach for evaluation of the supplier criteria in automotive industry , 2018 .

[11]  Samarjit Kar,et al.  A rough strength relational DEMATEL model for analysing the key success factors of hospital service quality , 2018 .

[12]  Peide Liu,et al.  Some linguistic neutrosophic Hamy mean operators and their application to multi-attribute group decision making , 2018, PloS one.

[13]  Duško Tešić,et al.  A HYBRID FUZZY AHP-MABAC MODEL: APPLICATION IN THE SERBIAN ARMY – THE SELECTION OF THE LOCATION FOR DEEP WADING AS A TECHNIQUE OF CROSSING THE RIVER BY TANKS , 2018 .

[14]  Prasenjit Chatterjee,et al.  A NOVEL HYBRID METHOD FOR NON-TRADITIONAL MACHINING PROCESS SELECTION USING FACTOR RELATIONSHIP AND MULTI-ATTRIBUTIVE BORDER APPROXIMATION METHOD , 2017 .

[15]  Dragan Pamuar,et al.  Novel approach to group multi-criteria decision making based on interval rough numbers , 2017 .

[16]  Gordan Stojic,et al.  Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company , 2017, Symmetry.

[17]  Edmundas Kazimieras Zavadskas,et al.  The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods , 2017, Symmetry.

[18]  T. Sazonova,et al.  Justification of the Expediency of Creating Circular Intersections in Modern Cities , 2017 .

[19]  Lanndon A. Ocampo,et al.  A hybrid fuzzy MCDM approach for mitigating airport congestion: A case in Ninoy Aquino International Airport , 2017 .

[20]  Dragan Pamučar,et al.  Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers , 2017 .

[21]  Hong-yu Zhang,et al.  Solving Solar-Wind Power Station Location Problem Using an Extended Weighted Aggregated Sum Product Assessment (WASPAS) Technique with Interval Neutrosophic Sets , 2017, Symmetry.

[22]  Kai Zhang,et al.  Evaluation of traffic congestion degree: An integrated approach , 2017, Int. J. Distributed Sens. Networks.

[23]  Hrvoje Pilko,et al.  Urban single-lane roundabouts: A new analytical approach using multi-criteria and simultaneous multi-objective optimization of geometry design, efficiency and safety , 2017 .

[24]  Wladyslaw Gardziejczyk,et al.  Normalization and variant assessment methods in selection of road alignment variants – case study , 2017 .

[25]  Jindong Qin Interval type-2 fuzzy Hamy mean operators and their application in multiple criteria decision making , 2017, GRC 2017.

[26]  Sanjin Troha,et al.  AN APPLICATION OF MULTICRITERIA OPTIMIZATION TO THE TWO-CARRIER TWO-SPEED PLANETARY GEAR TRAINS , 2017 .

[27]  Romualdas Bausys,et al.  Garage location selection for residential house by WASPAS-SVNS method , 2017 .

[28]  Ankur Chauhan,et al.  A hybrid multi-criteria decision making method approach for selecting a sustainable location of healthcare waste disposal facility , 2016 .

[29]  Antonio J. Torija,et al.  Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model , 2016 .

[30]  Hrvoje Pilko,et al.  An Analytic Hierarchy Process Model to Evaluate Road Section Design , 2016 .

[31]  Alejandro Ruiz-Padillo,et al.  Application of the fuzzy analytic hierarchy process in multi-criteria decision in noise action plans: Prioritizing road stretches , 2016, Environ. Model. Softw..

[32]  S. Kar,et al.  Evaluation and selection of Medical Tourism sites: A rough AHP based MABAC approach , 2016, ArXiv.

[33]  B. Karleuša,et al.  Criteria for urban traffic infrastructure analyses – case study of implementation of Croatian Guidelines for Rounabouts on State Roads , 2016 .

[34]  Ebru V. Ocalir-Akunal Using Decision Support Systems for Transportation Planning Efficiency , 2015 .

[35]  Jin Qi,et al.  An integrated AHP and VIKOR for design concept evaluation based on rough number , 2015, Adv. Eng. Informatics.

[36]  J. Rezaei Best-worst multi-criteria decision-making method , 2015 .

[37]  Ali Nejat,et al.  Selection of CO2 mitigation strategies for road transportation in the United States using a multi-criteria approach , 2014 .

[38]  Lei Zhao,et al.  Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS , 2014 .

[39]  Hrvoje Pilko,et al.  Analysis of Traffic Capacity and Design for the Reconstruction of a Large Roundabout in the City of Zagreb , 2014 .

[40]  Xin Guo Ming,et al.  A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments , 2014, Qual. Reliab. Eng. Int..

[41]  Valentinas Podvezko,et al.  The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety , 2013 .

[42]  Edmundas Kazimieras Zavadskas,et al.  Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating , 2013, Expert Syst. Appl..

[43]  V. P. Agrawal,et al.  Analysis And Validation of Traffic Noise Under Dynamic Condition Near Roundabout Using Madm Approach , 2013 .

[44]  Darcy M. Bullock,et al.  Best Practices for Roundabouts on State Highways , 2013 .

[45]  Edmundas Kazimieras Zavadskas,et al.  Developing a new hybrid MCDM method for selection of the optimal alternative of mechanical longitudinal ventilation of tunnel pollutants during automobile accidents , 2013 .

[46]  Tom Brijs,et al.  A Multiple Criteria Decision‐Making Approach for Prioritizing Accident Hotspots in the Absence of Crash Data , 2010 .

[47]  Ronald R. Yager,et al.  On generalized Bonferroni mean operators for multi-criteria aggregation , 2009, Int. J. Approx. Reason..

[48]  Rahim F Benekohal,et al.  Roundabout evaluation and design : a site selection procedure , 2009 .

[49]  Dago Antov,et al.  Speed Reduction Effects of Urban Roundabouts , 2009 .

[50]  Keemin Sohn,et al.  A systematic decision criterion for the elimination of useless overpasses , 2008 .

[51]  Mette Møller,et al.  Cyclists' perception of risk in roundabouts. , 2008, Accident; analysis and prevention.

[52]  Zhongsheng Hua,et al.  On the extent analysis method for fuzzy AHP and its applications , 2008, Eur. J. Oper. Res..

[53]  Thomas L. Saaty,et al.  On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process , 2007, Math. Comput. Model..

[54]  Tove Hels,et al.  The effect of roundabout design features on cyclist accident rate. , 2007, Accident; analysis and prevention.

[55]  Anne T. McCartt,et al.  Long-Term Trends in Public Opinion following Construction of Roundabouts , 2007 .

[56]  Eugene R. Russell,et al.  Roundabouts, traffic flow and public opinion , 2006 .

[57]  Antonio Pratelli,et al.  Design of Modern Roundabouts in Urban Traffic Systems , 2006 .

[58]  Da Ruan,et al.  Fuzzy group decision-making for facility location selection , 2003, Inf. Sci..

[59]  Zvi Drezner,et al.  Location of Facilities on a Network with Groups of Demand Points , 2001 .

[60]  Mark S. Daskin,et al.  Capacitated facility location/network design problems , 2001, Eur. J. Oper. Res..

[61]  Suebsak Nanthavanij,et al.  Predicting the optimum number, location, and signal sound level of auditory warning devices for manufacturing facilities , 1999 .

[62]  Masood A. Badri,et al.  Combining the analytic hierarchy process and goal programming for global facility location-allocation problem , 1999 .

[63]  A. Ohgai,et al.  Commercial facility location model using multiple regression analysis , 1998 .

[64]  Said Salhi,et al.  Facility Location: A Survey of Applications and Methods , 1996 .

[65]  Janusz Zalewski,et al.  Rough sets: Theoretical aspects of reasoning about data , 1996 .

[66]  Colin O. Benjamin,et al.  Comparing BP and ART II neural network classifiers for facility location , 1995 .

[67]  Ivan Petrovic,et al.  Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers , 2018, Expert Syst. Appl..

[68]  Roghayeh Ghasempour,et al.  Analysis of Solar Farm Site Selection Based on TOPSIS Approach , 2018 .

[69]  Funda Samanlioglu,et al.  A fuzzy AHP-PROMETHEE II approach for evaluation of solar power plant location alternatives in Turkey , 2017, J. Intell. Fuzzy Syst..

[70]  Dragan Pamučar,et al.  Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model , 2017, Expert Syst. Appl..

[71]  Angela Mottaeva,et al.  Innovative Aspects of Ecological and Economic Management of Investment and Construction Activities for the Sustainable Development of the Region , 2016 .

[72]  Mehdi Keshavarz Ghorabaee,et al.  A NEW COMBINATIVE DISTANCE-BASED ASSESSMENT(CODAS) METHOD FOR MULTI-CRITERIA DECISION-MAKING , 2016 .

[73]  Yetis Sazi Murat,et al.  Analytical Hierarchy Process (AHP) based Decision Support System for Urban Intersections in Transportation Planning , 2016 .

[74]  Željko Stevi,et al.  THE SELECTION OF THE LOGISTICS CENTER LOCATION USING AHP METHOD , 2015 .

[75]  Sanja Šurdonja,et al.  Possible reconstructions of intersections in urban areas by using roundabouts , 2010 .

[76]  Sin-Ei Takahasi,et al.  A refinement of various mean inequalities , 1998 .

[77]  Zdzisław Pawlak,et al.  Anatomy of conflicts , 1992 .