Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara

Abdullah ORMAN [1] , Hıdır DÜZKAYA [2] , Hayri ULVİ [3] , Furkan AKDEMİR [4]

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The Transportation Master Plan, includes the processes of producing, election and evaluating process for scenarios that can respond to transportation problems. In this election process, a scenario should be selected by a scientific method as transportation plan from among the determined alternatives. This study explains in details how inter-scenario selection criteria are determined by using the analytic hierarchy process that is a multiple criteria evaluation method in transportation master plan implementation processes. The effectiveness of mathematical model, which is set up in the selection processes, is discussed in particular with respect to the Ankara region and the prospective estimates and results are evaluated depending on the selected alternative.

transportation planning, transportation master plan, multiple criteria evaluation, the analytic hierarchy process
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Birincil Dil en
Konular Mühendislik
Dergi Bölümü Architecture & City and Urban Planning
Yazarlar

Orcid: 0000-0002-3495-1897
Yazar: Abdullah ORMAN
Ülke: Turkey


Orcid: 0000-0002-2157-0438
Yazar: Hıdır DÜZKAYA (Sorumlu Yazar)

Yazar: Hayri ULVİ

Orcid: 0000-0003-0964-338X
Yazar: Furkan AKDEMİR

Bibtex @araştırma makalesi { gujs384573, journal = {Gazi University Journal of Science}, issn = {}, eissn = {2147-1762}, address = {Gazi Üniversitesi}, year = {}, volume = {31}, pages = {381 - 397}, doi = {}, title = {Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara}, key = {cite}, author = {DÜZKAYA, Hıdır and ULVİ, Hayri and AKDEMİR, Furkan and ORMAN, Abdullah} }
APA ORMAN, A , DÜZKAYA, H , ULVİ, H , AKDEMİR, F . (). Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara. Gazi University Journal of Science, 31 (2), 381-397. Retrieved from http://dergipark.gov.tr/gujs/issue/37206/384573
MLA ORMAN, A , DÜZKAYA, H , ULVİ, H , AKDEMİR, F . "Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara". Gazi University Journal of Science 31 (): 381-397 <http://dergipark.gov.tr/gujs/issue/37206/384573>
Chicago ORMAN, A , DÜZKAYA, H , ULVİ, H , AKDEMİR, F . "Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara". Gazi University Journal of Science 31 (): 381-397
RIS TY - JOUR T1 - Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara AU - Abdullah ORMAN , Hıdır DÜZKAYA , Hayri ULVİ , Furkan AKDEMİR Y1 - 2018 PY - 2018 N1 - DO - T2 - Gazi University Journal of Science JF - Journal JO - JOR SP - 381 EP - 397 VL - 31 IS - 2 SN - -2147-1762 M3 - UR - Y2 - 2018 ER -
EndNote %0 Gazi University Journal of Science Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara %A Abdullah ORMAN , Hıdır DÜZKAYA , Hayri ULVİ , Furkan AKDEMİR %T Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara %D 2018 %J Gazi University Journal of Science %P -2147-1762 %V 31 %N 2 %R %U
ISNAD ORMAN, Abdullah , DÜZKAYA, Hıdır , ULVİ, Hayri , AKDEMİR, Furkan . "Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara". Gazi University Journal of Science 31 / 2 381-397.