A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study

Tuzkaya, Umut Rıfat; Önüt, Semih

doi:10.1016/j.ins.2008.03.015

Cited by 154 publications

(66 citation statements)

References 39 publications

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“…In the same year to explore the reciprocal spatial-temporal effects of transport infrastructure and urban growth in Jeddah city from 1980-2007, Aljoufie, et al [17] detect the spatial temporal mutual effects of transport infrastructure and urban growth using study approach for the case of mono-centric urban structure cities. Tuzkaya and Önüt [18] combining many detailed criteria in an evaluation study and synthesizing them to obtain a transportation-mode selection with FANP model was applied to a large-sized real-life problem related to the transportation project between Turkey and Germany.…”

Section: Related Workmentioning

confidence: 99%

Transportation Mode Selection using System Dynamics Approach

Setiafindari¹,

Anggara²,

Masril³

2017

IJSEIA

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Section: Related Workmentioning

confidence: 99%

Transportation Mode Selection using System Dynamics Approach

Setiafindari¹,

Anggara²,

Masril³

2017

IJSEIA

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“…Fuzzy logic [36], however, has been shown to achieve high success in the emulation of individual preferences for transport mode choice [40,41], therefore enabling a wider level of parametrization for each citizen's profile. A well trained fuzzy logic engine and accurately defined rule sets are expected to provide consistent results even in the case of variation in the characteristics of the transport network.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Transport Choice Modeling for the Evaluation of New Transport Policies

et al. 2018

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Quantifying the impact of the application of sustainable transport policies is essential in order to mitigate effects of greenhouse gas emissions produced by the transport sector. One of the most common approaches used for this purpose is that of traffic modelling and simulation, which consists of emulating the operation of an entire road network. This article presents the results of fitting 8 well known data science methods for transport choice modelling, the area in which more research is needed. The models have been trained with information from Biscay province in Spain in order to match as many of its commuters as possible. Results show that the best models correctly forecast more than 51% of the trips recorded. Finally, the results have been validated with a second data set from the Silesian Voivodeship in Poland, showing that all models indeed maintain their forecasting ability.

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“…For example, some scholars have used it to develop supplier selection models (e.g., [40][41][42][43][44]), whereas others applied it to transportation choice decision-making problems (e.g., [45]), selection models for developing new product concepts [46], sustainable energy technology alternatives [47], hotel management system problem selection [48], and oversight problems in food management and research [49] and to determine the key indicators of green supply chain for food products [50]. MCDM has been adopted to explore the development of new product by century-old enterprises [51], improve productivity in smallscale food enterprises [52], and study site selection problems in food distribution [53].…”

Section: Fuzzy Analytic Network Processmentioning

confidence: 99%

Fresh Snack Food Channel Evaluation Model for Integrating Customers’ Perception of Transaction Costs in Taiwan

Chen

2017

Journal of Food Quality

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The primary purpose of this study was to explore how food dealers develop methods that facilitate transaction efficiency and how they select the optimal food channels. This study establishes a model according to the impact of transaction cost factors on consumers' decision-making regarding purchase of fresh snack foods. Using fresh snack foods in Taiwan as an example, this study employed a fuzzy analytic network process to solve decision-making problems with multiple criteria by comparing the interaction between each transaction cost factor to obtain the factor weightings as well as the weightings of the transaction costs at each decision stage. This study found that food safety assurance and providing sufficient nutrition information were the most essential topics; thus, the optimal choice for snack food producers is to develop retail outlets. This study construction process proposed is innovative and operational, and the results may provide a reference for snack food dealers or microfood enterprises to assist them in developing their food channels.

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A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study

Cited by 154 publications

References 39 publications

Transportation Mode Selection using System Dynamics Approach

Transportation Mode Selection using System Dynamics Approach

Transport Choice Modeling for the Evaluation of New Transport Policies

Fresh Snack Food Channel Evaluation Model for Integrating Customers’ Perception of Transaction Costs in Taiwan

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