A MULTICRITERIA DECISION-MAKING FOR MONORAIL ROUTE SELECTION IN ANKARA

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1 A MULTICRITERIA DECIION-MAKING FOR MONORAIL ROUTE ELECTION IN ANKARA 1 MUTAFA HAMURCU, TAMER EREN 1, Kırıkkle Uversty, Fculty of Egeerg, Deprtmet of Idustrl Egeerg, Kırıkkle, TURKEY E-ml: 1 hmurcu.mustf.55@gml.com, tmerere@gml.com Abstrct A crese of the populto Akr hs become lot of problem. It comes to trffc problems t the begg of ths problems.for ths reso, trsportto costs, tme d demd for publc trsport hve cresed. A moorl s ltertve trsport vehcle for solvg ths problem urb res.moorl s oe of the urb publc trsport systems. A moorl s rly hch the trck mde up of sgle rl, urb rpd trst system.the most mportt step of estblshg e trsportto system s to determe the route.there re my fctors to ffect the determto of the route. For exmple; populto, orkg populto, publc spces, trffc desty, other trsport systems, etc. At ths pot, mult-crter evluto s eeded. I ths study, t hve bee tred to be determed route usg Alytc Herrchy Process (AHP) d Techque for Order Preferece by mlrty to Idel oluto (TOPI) methods for moorl Akr. A cse study Akr, hch the best moorl routes select, s ppled. Keyords AHP, Moorl, MCDM, Route selecto, TOPI I. INTRODUCTION The moorl (Fg.1) hs spred out recetly s populr mode for trst use the orld.moorls re urb rl trsport systems. They re elevted lght rl systems from groud. A moorl s very ttrctve trst system. Becuse moorls re cost effectve, sfe. Ad ccdets th surfce trffc re mpossble for moorls. Becuse moorls hve belog to them ys d routes. Moorls hve got my chrcterstc s evrometlly fredly, lo costructo d mtece costsetc. Fg. 1:Moorl Pm Cty. [1] Wth the crese the urb desty, moorl c reduce the use of prvte vehcles rro d busy rod d ll provde comfort to the pssegers becuse of ts sutblty the cogested res. Mrthe d Hj[], the uthor hs pper the chrcterstcs of moorl systems; gret seprted, cost effectve, sfely, lo eergy cosumpto, lo ose d dptble.i pper, moorls provdeheght r qulty, trffc sfety d soluto for trffc cogesto.keedy[3],defed s the chrcterstcs of moorl techology sfety d evcuto, rubber trcto d gudce, eergy cosumpto, ccelerto d brekg, grdet, ether, ose.t lso s defed poer, speed, rde, stchg d mtece for Opertol chrcterstcs.hmurcu d Ere[4, 5],hve doe to studes o ths ssue.they proposed moorl for urb trsport of Turkey oe of the studes. I other studes ere mde for route selecto for moorl Akr.Jlt et l. [6], looked t e trst techology d they hd bee dscussed some of the mportt spects regrdg codtos fvorg moorl rpd trst.peter [7] hs metoed tht of the moorl system provdes gret soluto for trffc t metropolt the ork.x et l. [8] descrbed the developmet of vehcle moorl trst system d the pplcto of moorl vehcles hs bee studed. They hd dscussed the developmet d pplcto of moorl for urb trst. My coutres roud the World tody hve estblshed moorl systems. For exmple; Prtculrly Jp, Mlys, Europe, Russ, Kore, Ch, Brzl, UAE, ud Arb, gpore, Ir d fe the Uted ttes. everl more re ether uder costructo or dvced plg. ectos of ths study re s follos: I secto, the route selecto problem hs bee expled. I secto 3, e hve preseted our pl of methodology. I secto 4, multcrter decso mkg methods hve bee descrbed. I secto 5, crter for route selecto hve bee metoed. I secto 6, cse study hs bee doe for Akr. Flly, t s sho to rkg of the best route selecto. II. THE ROUTE ELECTION PROBLEM The ssue of trffc cogesto s oe of themost problems tht hve to be solved developg d grog ctes. o, the publc trsport s effectve Proceedgs of Acdemcs World Itertol Coferece, Dub, UAE, 5th Mrch 016, IBN:

2 A Multcrter Decso-Mkg For Moorl Route electo Akr y to solve the trffc cogesto...due to the crese urb populto, trsportto tme cresed ctes.therefore, there s eed for e trsportto projects urb res. Moorl publc trsportto s soud vestmet ths regrd. But the system should be ell-defed route. Otherse t ould ot be effectve urb res. Isted of costly projects tht ll be temporry solutos, such s moorl trst systems must be costructed to overcome the rpdly cresg trvel demd d cogesto of trffc. electg the mode of moorl trsportto s ot eough to solve the trffc problem. Also the best route to be determed for the moorl. It should be see s multdmesol. Route select s mportt decso mde for urb re. The gol route selecto study s to fd the best plce or corrdor. These choces re relly complex problems tht deped o multple cosdertos. Route selecto gol s to prevet trffc cogesto, meet the demd for trsportto d to reduce the trvel tme. Thus, t ll be provdg mprovemets urb res. Otherse estblshed e routes ll further crese the trffc lod. The route selecto process, bsed o mult crter decso mkg d ppled AHP d TOPI for moorl route selecto, s shoed ths study. III. METHODOLOGY The methodology for route selecto problem, composed of AHP d TOPI methods, cossts of three steps. These re: 1. Idetfy the crter to be used the model. I the frst step of pplcto, e determed the crter for route selecto.. The crter of route selecto ere eghted by usg AHP. 3. Evluto of ltertves th TOPI d determto of the fl rk.flly, t s selected the best ltertve route. Proceedgs of Acdemcs World Itertol Coferece, Dub, UAE, 5th Mrch 016, IBN:

3 A Multcrter Decso-Mkg For Moorl Route electo Akr IV. MULTICRITERIA DECIION MAKING (MCDM) Ths techque tht performs the selecto from mog my ltertves lyzes comprg by specfc crter. Ths method compres the dfferet ltertves for routes of moorl. To be ble to decde, ltertves of route ere selectedby usg AHP d TOPI methods hch re multple crter decso mkg methods Alytc Herrchy Process (AHP) It s mult-crter decso lyss (MCDA) to evlute ltertves. A problem s bsc structured s herrchy the AHP. The AHP s ggregtg the solutos of ll the sub problems cocluso, by mkg bry comprsos [9]. The AHP s steps(fg.3): Fg. 3: AHP ssteps A.... m 1 m... m tep : Clculte the ormlzed decso mtrx mtrx(r ). r m k 1 tep 3:Clculte the eghted ormlzed decso mtrx(v ). 1r11 r1 r1 1r1 r r.. V.... 1rm1 rm rm tep 4:Fdg the postve-del(a + ) d egtvedel(a - ) solutos. ' A (mx v j J ), (m v j J ' A (m v j J ), ( mx v j J tep 5: Clculte the seprto mesures( + -) d j1 j1 kj ( v vj) ( v v ) j 4.. Techque for Order Preferece by mlrty to Idel oluto (TOPI) Yoo d Hg [10] troduced TOPI method for the frst tme. TOPI techque s oe of the decso mkg methods. It s trget bsed pproch. Amed to fdg the ltertve tht s closest to the del soluto gol. Geerl TOPI process th 6 steps: tep 1: Estblsh decso mtrx(a ) tep 6: Clculte the reltve closeess to the desoluto (C ) d rk the performce order. C The C dex vlue les betee 0 d 1. The lrger the dex vlue mes the better the performce of the ltertves. Fg. 4: Altertve routes. Proceedgs of Acdemcs World Itertol Coferece, Dub, UAE, 5th Mrch 016, IBN:

4 V. LITERATURE REVIEW A Multcrter Decso-Mkg For Moorl Route electo Akr Route selecto volves the determto of pth urb re for trffc problems, bsed o desg objectves, such s mmum costructo cost, mxmum trvel speed, d ccessblty, the tegrto of trsport d mmum evrometl flueces. There re studes the lterture bout the route choce. tudes of s the tr route [10, 11], lght rl trst route [1, 0], bke route [13], the route of the trmy [14], hghy route [15], bus route [16], hgh-speed rl route [18, 1] d moorl route [3, ] selecto re vlble lterture. 6. Aesthetc d vsul mpct (e) 7. Access to employmet d educto (f) 8. Access to shoppg d resdetl res (g) 9. Ablty to develop d to mprove (h) 10. Ld structure (s) 11. Populto desty () 1. Trffc cpcty (j) 13. Publc moblty (k) 14. Demd level (s) 15. Evrometl flueces (m) It s evluted eght ltertve routes (Fg.5) roud the 15 crter. A mult crter decsomkg(mcdm) method s ppled to decde the best ltertve. VI. A CAE TUDY Tble 1: Chrcterstcs of routes We receved the opo of experts. A lterture serch s performed. As result ts detfed of route selecto crter.these crter hd bee used prevously by Hmurcu d Ere [3]. 1.Costructo cost (). Exproprto (b) 3. The tegrto of trsport (c) 4. Accessblty (d) 5. The totl trvel tme (d) Tble : The eghted mtrx for crter Tble3: AHP eghts of the crter for TOPI Tble 4: Weghted evluto for the ltertve epos Tble 5: del d egtve del soluto Proceedgs of Acdemcs World Itertol Coferece, Dub, UAE, 5th Mrch 016, IBN:

5 A Multcrter Decso-Mkg For Moorl Route electo Akr CONCLUION The gol of the pper s to preset solutos to decso mkers t route selecto process th mult crter decso methods. Bsed o MCDM pplcto route selecto, AHP s used eghtg of dfferet crter, TOPI s ppled the best sutble route. Route_7 ere selected the study results. The system ll be stlled o the selected route s proposed to mprove the urb trffc. Tble 6: Results of route selecto d rkg For ctes tht hve populto of lke Akr d İstbul, moorl s the del mode of trsport. Moorl s ell sutble for the urb trsportto Akr. Moorl, urb rl systems c meet the trsportto demd. Whe the best route selecto s mde, the moorl ll be meetg the psseger demd urb res. REFERENCE [1] dte: ) [] R. Mrthe, d N. D. Hj, A Reve of Reserch o Moorl s Altertve Mss Rpd Trst ystem, Itertol Jourl of cece d Reserch (IJR), Vol. 4, o., pp.75-77, 013. [3] R.R Keedy, Cosderg moorl rpd trst for orth Amerc ctes. The Moorl ocety, 41, pp. - 43, 007. [4] M. Hmurcu d T. Ere, Akr Büyükşehr Beledyes'de Çok Ölçütlü Krr Verme Yötem İle Moory Güzergh eçm. Trsst 8. Uluslrrsı Ulşım Tekolojler empozyumu ve Furı Bldr Özetler Ktbı, s , İstbul, 015. [5] M. Hmurcu d T. Ere Moory Ve Türkye de Potsyel Uygulblrlğ. Trsst 8. Uluslrrsı Ulşım Tekolojler empozyumu ve Furı Bldr Özetler Ktbı, s , İstbul, 015. [6] A. Jlt, Prekh, N. G. Rvl, D Dody, Overve of moorl rpd trst system. Jourl of Iformto, Koledge d Reserch Computer Egeerg, vol., o., pp.85-91, 01. [7] P. E. Tm, Why Moorl ystems Provde Gret oluto for Metropolt Ares. Urb Rl Trst, Vol. 1, o.1 pp 13-5, Mrch 015. [8] X. Lıu, H. u d F. Lu, tudy o the Applcto d Developmet of Moorl Trst ystem Itertol Jourl of Egeerg Reserch & Techology, vol.3, o.5, pp.13-16, 014. [9] TL. ty, The Alytc Herrchy Process. Ne York: McGr-Hll, Pttsburgh, PA: RW Publctos, [10] K.P. Yoo d C.L. Hg,, Multple ttrbute decso mkg: troducto. vol. 104, ge Publctos, [11] H. Gerçek, B. Krpk & T. Kılıçsl, A multple crter pproch for the evluto of the rl trst etorks Istbul. Trsportto, vol.31, o., pp.03-8, 004. [1] M. Lud, A. Nzr, M Ltp &. N. Hsld, Usg mult-crter lyss to detfy sutble lght rl trst route, vol.1 pp , 007. [13] H. Hochmr, Tords clssfcto of route selecto crter for route plg tools. I Developmets ptl Dt Hdlg, prger Berl Hedelberg, pp , 005. [14] M. I. T. Alkubs, Predefed Evlutg Crter to elect the Best Trmy Route. Jourl of Trffc d Logstcs Egeerg, vol., o.3, 014. [15] M. Ptkulch, Alytc etork process model for hghy corrdor plg. Proceedgs of IAHP, 005. [16] Tyl Eg, Geetk lgortm le toplu ulşım sstem hreket çzelges optmzsyou: Çkkle öreğ., Doktortez. Mrmr Üverstes, Ekoometr A Blm Dlı/Yöeylem rştırmsı Blm Dlı, İstbul, 013. [17].. Keshkmt, J. M.Looe & M. H. P. Zudgeest, The formulto d evluto of trsport route plg ltertves: sptl decso support system for the V Bltc project, Pold. Jourl of Trsport Geogrphy, vol.17, o.1, pp.54-64, 009. [18] H. Y. Km, D. F. Wueburger, & M. Neum, Hgh- peed Rl Route d Regol Moblty th Rs-ter- Bsed Decso upport ystem: The Texs Urb Trgle Cse. Jourl of Geogrphc Iformto ystem, vol.5, o.6, , 013. [19] A. Frks, Route/ste selecto of urb trsportto fcltes: tegrted GI/MCDM pproch. I Proceedgs of 7th tertol coferece o mgemet, eterprse d bechmrkg, pp , 009. [0] M. R. t, & M. R. Agulr erro, Multcrter hgh-speed rl route selecto: pplcto to Mlys's hgh-speed rl corrdor prortzto., Trsportto Plg d Techology, vol.38, o., pp.00-13, 015. [1] R. B, Publc trsportto decso-mkg: A cse lyss of the Memphs Lght Rl Corrdor d route selecto th Alytc Herrchy Process. Jourl of Publc Trsportto, vol.9, o., pp.1-4, 006. [] Tolg Cky, Moory ulşım sstem kocel lde uygulblrllğ rştırılmsı. Yüksek lss tez, Ketsel stemler ve Ulştırm Yöetm Ablm Dlı, Bşkşehr Üverstes, İstbul, 011. Proceedgs of Acdemcs World Itertol Coferece, Dub, UAE, 5th Mrch 016, IBN:

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