2014
DOI: 10.1155/2014/182568
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Optimization of Urban Highway Bypass Horizontal Alignment: A Methodological Overview of Intelligent Spatial MCDA Approach Using Fuzzy AHP and GIS

Abstract: Selection of urban bypass highway alternatives involves the consideration of competing and conflicting criteria and factors, which require multicriteria decision analysis. Analytic hierarchy process (AHP) is one of the most commonly used multicriteria decision making (MCDM) methods that can integrate personal preferences in performing spatial analyses on the physical and nonphysical parameters. In this paper, the traditional AHP is modified to fuzzy AHP for the determination of the optimal bypass route for Eld… Show more

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Cited by 9 publications
(11 citation statements)
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“…Table 9 Rewiewd papes according to authors and purpose of the research Authors Purpose Tadić, Zečević and Krstić, 2014 [28] A new proposal of choosing the central business district logistics scenario, which is composed of different city logistics initiatives. Ouma, Yabann, Kirichu and Tateishi, 2014 [37] To take into account the vagueness type uncertainty detected and experienced in alternative bypass location determination Aydin, Celik and Gumus, 2015 [35] To assess level of customer satisfaction for the rail transit lines of Istanbul Zhao, Tang and Ning, 2016 [33] To solve group decision-making support problem of emergency alternatives in Unattended Train Operation metro system of China Bilişik, Erdoǧan, Kaya and Baraçli, 2013 [36] To evaluate customer satisfaction of public transportation system Pashmakian and Saeed Izadi 2014 [30] To determine the location of subsurface parking selection in reducing the loss of historic neighbourhoods identification surrounding central area of Hamedan and appropriate response to the problem of citizen space and spatial needs Lupo, 2013 [26] To conquer constraints of the traditional service assessment methods and to evaluate customer satisfaction with the public urban transit service which is supplied in the city of Palermo Zou, Dai, Yao, Jiang and Guo, 2014 [32] To establish an assessment index system for the development level of urban public transport consisting of a target layer, a criterion layer, and an index layer Ouma, Opudo and Nyambenya, 2015 [40] to evaluate and compare FAHP and Fuzzy TOPSIS method for the subjective analysis of the pavement conditions for automated maintenance prioritization Zou and Li, 2010 [42] To develop a comprehensive risk checklist associated with subway projects and a methodology to assess the risks at the early stage of a project Wey, 2015 [38] To find a solution for a site selection problem by employing the FAHP as the assurance region's weights Shafabakhsh, Hadjihoseinlou and Taghizadeh, 2014 [41] To select an appropriate public transportation system to access airport Bilisik, Demirtaş, Tuzkaya and Baraçl, 2014 [34] To establish the best locations for bus garages to manage the maintenance and repair activities.…”
Section: Transport Technology 53%mentioning
confidence: 99%
See 2 more Smart Citations
“…Table 9 Rewiewd papes according to authors and purpose of the research Authors Purpose Tadić, Zečević and Krstić, 2014 [28] A new proposal of choosing the central business district logistics scenario, which is composed of different city logistics initiatives. Ouma, Yabann, Kirichu and Tateishi, 2014 [37] To take into account the vagueness type uncertainty detected and experienced in alternative bypass location determination Aydin, Celik and Gumus, 2015 [35] To assess level of customer satisfaction for the rail transit lines of Istanbul Zhao, Tang and Ning, 2016 [33] To solve group decision-making support problem of emergency alternatives in Unattended Train Operation metro system of China Bilişik, Erdoǧan, Kaya and Baraçli, 2013 [36] To evaluate customer satisfaction of public transportation system Pashmakian and Saeed Izadi 2014 [30] To determine the location of subsurface parking selection in reducing the loss of historic neighbourhoods identification surrounding central area of Hamedan and appropriate response to the problem of citizen space and spatial needs Lupo, 2013 [26] To conquer constraints of the traditional service assessment methods and to evaluate customer satisfaction with the public urban transit service which is supplied in the city of Palermo Zou, Dai, Yao, Jiang and Guo, 2014 [32] To establish an assessment index system for the development level of urban public transport consisting of a target layer, a criterion layer, and an index layer Ouma, Opudo and Nyambenya, 2015 [40] to evaluate and compare FAHP and Fuzzy TOPSIS method for the subjective analysis of the pavement conditions for automated maintenance prioritization Zou and Li, 2010 [42] To develop a comprehensive risk checklist associated with subway projects and a methodology to assess the risks at the early stage of a project Wey, 2015 [38] To find a solution for a site selection problem by employing the FAHP as the assurance region's weights Shafabakhsh, Hadjihoseinlou and Taghizadeh, 2014 [41] To select an appropriate public transportation system to access airport Bilisik, Demirtaş, Tuzkaya and Baraçl, 2014 [34] To establish the best locations for bus garages to manage the maintenance and repair activities.…”
Section: Transport Technology 53%mentioning
confidence: 99%
“…Tab. 10 shows that there is quite a wide variation of the use of FAHP in urban mobility system, from customer satisfaction [34,35], infrastructure projects [30,37,38,36], treatment of uncertainties [29] to environment impact evaluations [5,4].…”
Section: Transport Technology 53%mentioning
confidence: 99%
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“…The preferable value for the M convex fuzzy compared to the Mi convex value could be determined with the max and min operation [16] in the following equation: Assume that d(A 1 ) = min V(Si ≥ Sk) for k=1,2,...n; k ≠ i, so that the weight og the vector [17] could be defined as:…”
Section: Fuzzy Analytic Hierarchy Processmentioning
confidence: 99%
“…Location problems include strong spatial dimensions, as a large number of spatial variables are involved, such as the proximity to rivers, roads, or populations, and spatial characteristics of the region including geology, slope, and soil type, among others. GIS is designed to store, manage, analyze, and visualize the geospatial data required by decision-making processes [14,[24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%