Yazar "Erbas, Mehmet" seçeneğine göre listele

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    A GIS-based MCDM approach for the evaluation of bike-share stations
    (Elsevier Sci Ltd, 2018) Kabak, Mehmet; Erbas, Mehmet; Cetinkaya, Cihan; Ozceylan, Eren
    -Several benefits have contributed to the increasing popularity of bike-share systems in cities around the world. In addition to traffic congestion, environmental concerns are also compelling cities to seek more sustainable modes of transportation. A key factor in the efficacy of bike-share networks is the location of bike stations in relation to potential related criteria. Therefore, site suitability analysis for bike-share stations using quantitative methods is essential. This study attempted to evaluate the current status of bike-share stations in Karsiyaka, Izmir, and to locate future station sites by comparing them to existing stations. To do so, different multi-criteria decision-making methods were combined with a geographic information system (GIS) to address twelve conflicting criteria. Specifically, the analytic hierarchy process was applied to obtain criteria weights, and multi-objective optimization by ratio analysis was used to evaluate current and potential alternatives. Our study demonstrates the superiority of the suggested locations compared to the existing stations. (C) 2018 Elsevier Ltd. All rights reserved.
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    A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach
    (Elsevier Science Inc, 2023) Cetinkaya, Cihan; Erbas, Mehmet; Kabak, Mehmet; Ozceylan, Eren
    Coronavirus disease (COVID-19) was recognized in December 2019 and spread very severely throughout the world. In 2022 May, the total death numbers reached 6.28 million people worldwide. During the pandemic, some alternative vaccines were discovered in the middle of 2020. Today, many countries are struggling to supply vaccines and vaccinate their citizens. Besides the difficulties of vaccine supply, mass vaccination is a challenging but mandatory task for the countries. Within this context, determining the mass vaccination site is very important for recovering, thus a five-step approach is generated in this paper to solve this real-life problem. Firstly the mass vaccination site selection criteria are determined, and secondly, the spatial data are collected and mapped by using Geographical Information System (GIS) software. Then, the entropy weighting method (EWM) is used for determining the relative importance levels of criteria and fourthly, the multiple attribute utility theory (MAUT) approach is used for ranking the potential mass vaccination sites. Lastly, ranked alternative sites are analyzed using network analyst tool of GIS in terms of covered population. A case study is conducted in Gaziantep city which is the ninth most population and having above-average COVID-19 patients in Turkey. As a result, the fourth alternative (around the S,ehitkamil Monument) is chosen as the best mass vaccination site for the city. It is believed that the outcomes of the paper could be used by city planners and decision-makers.
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    A multi-criteria spatial analysis using GIS to evaluate potential sites for a new border gate on Turkey's Syria frontier
    (Inderscience Enterprises Ltd, 2020) Kabak, Mehmet; Ozceylan, Eren; Erbas, Mehmet; Cetinkaya, Cihan
    After the internal disturbance in Syria in 2011, many Syrian refugees migrated to Turkey progressively, and the Turkish Government provided humanitarian aid to people in Syria. These incidents caused a huge amount of density on current border gates. Also, increasing potential terrorist attacks and growing frontier infringements also create a need for a new border gate on Turkey's Syria frontier. Thus, a four-step hybrid solution approach is developed for this problem. This approach starts with determination of selection criteria; then, the spatial database of these criteria is created by using a geographical information system. In the third step, the DEMATEL technique is applied to assign importance levels to the criteria. Lastly, MULTIMOORA technique is used to rank the potential sites. The results indicate that, recommended potential sites are more suitable than current border gates. This paper can serve as a scientific-base while selecting the optimal site for border gates. [Received: 8 February 2019; Revised: 1 July 2019; Accepted: 7 August 2019]
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    Analysis of Potential High-Speed Rail Routes: A Case of GIS-Based Multicriteria Evaluation in Turkey
    (Asce-Amer Soc Civil Engineers, 2021) Ozceylan, Eren; Erbas, Mehmet; Cetinkaya, Cihan; Kabak, Mehmet
    All over the world, governments, policy makers, and practitioners are searching for proper routes and corridors to invest transportation infrastructures such as new railways, highways, and multimodal ways. Although it is one of the important steps of development, finding a suitable route for new transport infrastructure is a complicated and conflicting task for of various reasons. Possible social and environmental impacts on society and increasing cost and technical pressures on decision makers are some of these reasons. Taking into consideration aspects of different evaluation criteria, a geographic information system (GIS)-based multicriteria solution approach is proposed in this study. Potential high-speed rail (HSR) routes in Turkey are considered as a case study. After gathering and processing the related GIS data, weights are assigned to each criterion by using the fuzzy analytic hierarchy process in order to indicate their relative importance. Then, the additive ratio assessment method is applied to carry out the multicriteria (13 technical, social, and demographic criteria) evaluation and selection of the suitable alternatives (among 20 HSR routes) under given circumstances. It was found that the corridor from the west part of Turkey (from Izmir and Manisa) to the Marmara region (Kocaeli and Istanbul) had the highest priority, followed by the corridor from Ankara to Kayseri. HSR trains could potentially reduce the journey times to Kocaeli and Istanbul from Izmir and Manisa, as compared with driving, by 46% and 45%, respectively. The results of this study can be used to evaluate potential HSR corridors/routes or similar transport infrastructures in other countries.
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    Evaluation of ecotourism sites: a GIS-based multi-criteria decision analysis
    (Emerald Group Publishing Ltd, 2018) Cetinkaya, Cihan; Kabak, Mehmet; Erbas, Mehmet; Ozceylan, Eren
    Purpose - The aim of this study is to evaluate the potential geographic locations for ecotourism activities and to select the best one among alternatives. Design/methodology/approach - The proposed model consists of four sequential phases. In the first phase, different geographic criteria are determined based on existing literature, and data are gathered using GIS. On equal criteria weighing, alternative locations are determined using GIS in the second phase. In the third phase, the identified criteria are weighted using analytical hierarchy process (AHP) by various stakeholders of potential ecotourism sites. In the fourth phase, the PROMETIIEE method is applied to determine the best alternative based on the weighted criteria. Findings - A framework including four sequential steps is proposed. Using real data from the Black Sea region in Turkey, the authors test the applicability of the evaluation approach and compare the best alternative obtained by the proposed method for nine cities in the region. Consequently, west of Sinop, east of Amin and south of the Black Sea region are determined as very suitable locations for ecotourism. Research limitations/implications - The first limitation of the study is considered the number of included criteria. Another limitation is the use of deterministic parameters that do not cope with uncertainty. Further research can be conducted for determining the optimum locations for different types of tourism, e.g. religion tourism, hunting tourism and golf tourism, for effective tourism planning. Practical implications - The proposed approach can be applied to all area that cover the considered criteria. The approach has been tested in the Black Sea region (nine cities) in Turkey. Social implications - Using the proposed approach, decision-makers can determine locations where environmentally responsible travel to natural areas to enjoy and appreciate nature that promotes conservation have a low visitor impact and provide for beneficially active socioeconomic involvement of local individuals. Originality/value - To the best knowledge of the authors, this is the first study which applies a GIS-based multi-criteria decision-making approach for ecotourism site selection.
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    Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis
    (Pergamon-Elsevier Science Ltd, 2018) Erbas, Mehmet; Kabak, Mehmet; Ozceylan, Eren; Cetinkaya, Cihan
    Electric vehicles (EVs) are both economic and ecological vehicles which get their power from rechargeable batteries inside the car. Since they have a lot advantages as producing nearly no carbon emissions or pollution, being cost effective and less noisy; the main disadvantage of these vehicles are recharge related problems. One approach to deal with this problem is to construct electric vehicle charging stations (EVCS). A proper EVCS also should be located very carefully to maximize EV usage. Thus in this paper a geographic information system (GIS)-based MCDA approach is applied to address the EVCS site selection. Fuzzy analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods are applied to choose the optimal EVCS sites. A four-step solution approach is developed for the problem: (i) determination of 15 criteria from different perspectives, (ii) using GIS to assign EVCS site availability score, (iii) prioritizing the criteria using fuzzy AHP and finally (iv) ranking the potential sites by using TOPSIS. Proposed hybrid methodology is applied to Ankara (capital city of Turkey) as a case study. Results show that suggested alternative locations outperform the current locations of 12 EVCS in terms of considered criteria. (C) 2018 Elsevier Ltd. All rights reserved.