Çelik, Hüseyin Murat
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Murat Celik, H.
Celik, H. M.
Murat Çelik, H.
Celik, Huseyin Murat
Çelik, H. Murat
Celik, H. Murat
Çelik, H. M.
Celik, H. M.
Murat Çelik, H.
Celik, Huseyin Murat
Çelik, H. Murat
Celik, H. Murat
Çelik, H. M.
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Email Address
Main Affiliation
02.03. Department of City and Regional Planning
Status
Former Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
2
Research Products
2ZERO HUNGER
1
Research Products
3GOOD HEALTH AND WELL-BEING
0
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4QUALITY EDUCATION
5
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
1
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7AFFORDABLE AND CLEAN ENERGY
3
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8DECENT WORK AND ECONOMIC GROWTH
6
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
12
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
9
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
2
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13CLIMATE ACTION
2
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14LIFE BELOW WATER
1
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15LIFE ON LAND
1
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
17PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents
18
Citations
197
h-index
7
Documents
12
Citations
104
Scholarly Output
20
Articles
11
Views / Downloads
55289/9379
Supervised MSc Theses
5
Supervised PhD Theses
4
WoS Citation Count
99
Scopus Citation Count
160
Patents
0
Projects
0
WoS Citations per Publication
4.95
Scopus Citations per Publication
8.00
Open Access Source
19
Supervised Theses
9
| Journal | Count |
|---|---|
| European Planning Studies | 2 |
| Journal of Transport Geography | 2 |
| Transportation Planning and Technology | 2 |
| Neural Network World | 1 |
| Promet - Traffic - Traffico | 1 |
Current Page: 1 / 2
Scopus Quartile Distribution
Competency Cloud
20 results
Scholarly Output Search Results
Now showing 1 - 10 of 20
Article Citation - WoS: 5Citation - Scopus: 8Forecasting Interregional Commodity Flows Using Artificial Neural Networks: an Evaluation(Taylor and Francis Ltd., 2004) Çelik, Hüseyin MuratPrevious studies have concluded that the use of artificial neural networks (ANNs) is a promising new technique for modelling freight distribution, supporting, the findings of other studies in the area of spatial interaction modelling. However, the forecasting performance of ANNs is still under investigation. This study tests the predictive performance of the ANN Model with respect to a Box-Cox spatial interaction model. It is concluded that the Box-Cox model outperforms ANN in forecasting interregional commodity flows even if ANN had proven calibration superiority in comparison to conventional gravity type models.Doctoral Thesis Optimum Land-Use Allocation Using Binary Integer Programming and Geographic Information Systems: Case of Çeşme(Izmir Institute of Technology, 2009) Türk, Ersin; Çelik, Hüseyin Murat; Çelik, Hüseyin MuratSpatial decision making is a very complex process that basic strategy of decision analysis is to divide the decision problem into small, understandable parts; analyze each part; and integrate the parts in a logical manner to produce a rational solution. Recently,Multicriteria Decision Making (MCDM) integrated with geographical information system (GIS) has been promising in producing analytical tools for analyzing many realworld spatial planning and decision making problems.In Turkey, natural, archaeological and cultural assets are conserved according to the decisions of the conservation regional councils. The conservation regional councils decide boundary, type and degree of conservation areas but these areas and their features is changed frequently according to economical, environmental and political atmosphere.The conservation decision is one of the most important input criteria in preparing urban land-use plan since the type and degree of conservation area directly determines which kind of land-uses can and cannot be allocated in a conservation area. The aim of this dissertation is to analyze the effects of changing conservation decisions on optimum land use allocation when all other criteria are constant. This analysis was made with five different perspectives. The thesis uses the land assignment model provided by Hanink and Cromley (1998) that integrates the geographical information systems (GIS) with a generalized assignment model by using MCDM techniques to determine optimum level of conservation scheme. The case study is the master plan area of Çeme in zmir province in Turkey. The results show that the theoretically proposed method is indeed very useful and promising to answer complex issues on a more rational basis.Master Thesis Developing Link Capacity Functions at Urban Arterials(Izmir Institute of Technology, 2009) Koşun, Çağlar; Çelik, Hüseyin MuratLink capacity functions are the relationships among the main variables of the vehicular traffic flow at any links. Moreover, developing link capacity function is a task that is related to traffic engineering, yet it is too difficult to find a unique link capacity function belonging to all links in cities. Therefore, this thesis does aim to develop link capacity functions peculiar to the selected divided and undivided links in downtown city İzmir. The main process of developing the link capacity functions depends upon the fastidious site selection, data collection and data analyses techniques. Especially, the main vehicular traffic variables such as flow rate, capacity, speed, travel time data describe the links capacity function. After the data collection process, the data manipulation and their analyses lead to build mathematical model about the link capacity functions. When considering the steps of this thesis, first of all, this thesis reviews the literature and formulates the problem statement and the research objective. Secondly, it conducts the task that consists of the site selection and data collection. In the following parts, this thesis study manipulates and analyzes the obtained data. Then, it performs the linear and non-linear model building by utilizing different functions called V/C ratio & dummy variable, BPR (Bureau of Public Roads) function and Overgaard function for the selected link groups in İzmir. Ultimately, this thesis study compares the model results and manifests the best link capacity function model.Article Citation - Scopus: 33Modeling Freight Distribution Using Artificial Neural Networks(Elsevier Ltd., 2004) Çelik, Hüseyin MuratStudies about freight distribution modeling are limited due to the limitations in data availability. Existing studies in this subject, generally either use the conventional gravity models or the regression based models as modeling techniques. The present study, using the 1993 US Commodity Flow Survey Data, models inter-regional commodity flows for 48 continental states of the US with three different artificial neural networks (ANN). The results are compared with those of Celik and Guldmann's (2002) Box-Cox Regression Model. The ANN using conventional gravity model variables provides a slight improvement with respect to this Box-Cox model. However, the ANNs using theoretically relevant variables provide surprising improvements in comparison to the Box-Cox model. It is concluded that ANN architecture is a very promising technique for predicting short-term inter-regional commodity flows.Master Thesis The Usage of Stochastic and Multicriteria Decision-Aid Methods Evaluating Geothermal Energy Exploitation Projects(Izmir Institute of Technology, 2005) Dur, Fatih; Çelik, Hüseyin MuratThis study is based on three main questions about the utilization of geothermal energy. The first question is how much heat energy the geothermal resource contains? The second one is what the utilization alternatives are for this resource? And the last question is according to which criteria the scenarios formed by integration of the selected utilization alternatives in specified proportions could be assessed, and what the alternative schema obtained could be like? The method of forming a model by simulations, which is developed as an approach to the solutions of the problems that contain uncertain parameters, like what the heating capacities of the reservoirs are, is used in this study. A model is formed with parameters of the heating capacity of Balçova Geothermal Field by employing Monte Carlo Simulation Technique. Here the aim is to find the amount of the heating energy that could be exploited by sustainable way from the resource. Efforts are given to form the amount of this energy by the help of cumulative probability distribution of the model. It is emphasized what the estimated heating reserve and the alternatives that could be locally utilized. Here, parameters such as the enthalpy of the geothermal resource, content of the fluid, volume of the geothermal field, pattern of the settlement in the field, ability of the soil, topography and structure of the labor etc. should be considered in the light of reconnaissance and exploration studies done in the geothermal field. From the assessment done for Balçova, it is concluded that geothermal resource could be utilized for heating of the dwellings, greenhouse agriculture, thermal tourism and dehydration of fruit and vegetable. Having determined the utilization schema of the geothermal resource, the issue of the assessment of the scenarios, which will be formed from these alternatives, comes up. Here begins the decision making process with a political aspect. By determining the criteria that will be considered while selecting the scenarios, and by determining the relative weights of this criteria, an order which shows the desired situation between the scenarios could be obtained. In this study, the scenarios formed in Balçova are assessed by the help of PROMETHEE method .one of the Multicriteria Decision aid Technique. As a result, it is seen that in Balçova tourism related scenarios stand out because of their superiority in employment created and Tons of Petroleum Equivalent energy values.Doctoral Thesis The Use of Nonextensive Framework in Connection With Traffic Flow(Izmir Institute of Technology, 2015) Koşun, Çağlar; Özdemir, Serhan; Çelik, Hüseyin MuratIn the analysis of vehicular traffic flow, numerous techniques are utilized in the literature. In this thesis, distinct from the literature, to reveal the complexity of the traffic flow and its connection with the urban and traffic factors, nonextensive thermostatistics is implemented. In real systems, e.g. vehicular traffic flow, the probability distributions would become q-Gaussian and thus the use of nonextensive thermostatistics would be relevant. This approach allows a statistical interpretation to handle the given traffic flow problem. In this thesis, highway traffic flow modeling is in question in the nonextensive framework and two case studies are presented. First is related with lane changing and driver behavior, and the other is related with the superstatistics and traffic flow. In the first case study, scenario-based vehicular interactions are examined and driver behaviors are extracted by virtue of given entropy approaches. Given the configurations, Tsallis entropy approach characterizes safe driving behavior, whereas Boltzmann-Gibbs one describes unsafe driving. In the second case, vehicle speeds on the selected highway are analyzed through superstatistics theory. Two distinct q values are computed as 1.3 and 1.8 out of q-Gaussian and beta parameter distributions, respectively. The q value of 1.3 represents the highway segment with a certain flow, while the q value of 1.8 specifies the history of the traffic flow. As a result, it is revealed that the real vehicular traffic flow would involve the nonadditivity, which mainly stems from vehicular interactions as well as the urban and traffic planning decisions.Article An Analysis of Vehicular Traffic Flow Using Langevin Equation(Faculty of Transport and Traffic Sciences, University of Zagreb, 2015) Koşun, Çağlar; Çelik, Hüseyin Murat; Özdemir, SerhanTraffic flow data are stochastic in nature, and an abundance of literature exists thereof. One way to express stochastic data is the Langevin equation. Langevin equation consists of two parts. The first part is known as the deterministic drift term, the other as the stochastic diffusion term. Langevin equation does not only help derive the deterministic and random terms of the selected portion of the city of Istanbul traffic empirically, but also sheds light on the underlying dynamics of the flow. Drift diagrams have shown that slow lane tends to get congested faster when vehicle speeds attain a value of 25 km/h, and it is 20 km/h for the fast lane. Three or four distinct regimes may be discriminated again from the drift diagrams; congested, intermediate, and free-flow regimes. At places, even the intermediate regime may be divided in two, often with readiness to congestion. This has revealed the fact that for the selected portion of the highway, there are two main states of flow, namely, congestion and free-flow, with an intermediate state where the noise-driven traffic flow forces the flow into either of the distinct regimes. © 2015, Faculty of Transport and Traffic Engineering. All rights reserved.Master Thesis Modeling Retail Structural Change of Izmir Using a Dynamic Spatial Interaction Model(Izmir Institute of Technology, 2004) Kompil, Mert; Çelik, Hüseyin MuratRetailing, one of the most important sectors in all developed economies, has always been the prominent element of urban morphology, and evolves as the city evolves and expands. The last two decades have witnessed considerable changes in retailing throughout developed countries such as, the emergence of new store formats, the increased prevalence of retail chains, the development of out-of-town and edge-of-town retail parks accompanying with the changing conditions of globalized world. Since the sector has undergone major changes in scale, organization, and geography, the urban spaces have been the scene of these ongoing changes.Under the influence of global economic transformation after 80's, there have also been dramatic changes in retail industry and retail environment in Turkey. Despite the sector in Turkey is still dominated by large number of small, independent, and single location retailers, market share and spatial prevalence of large-scale retailers' have been increasing rapidly. Especially in major cities of the country, both international and domestic retail chains have been imposing a transformation and restructuring the urban retail environment. Among all the areas of retailing, food retailing stands out as having seen the most profound changes in Turkey. With respect of this, the study explores the spatial consequences of the structural change of food retailing system in Izmir. The prevalence of large-scale food retailers such as hypermarkets and supermarkets has negative effects on the survival of many small-independent retailers. The increasing competition has led to a changing retail structure with the dominance of organized retailers where the number of small-scale retailers and their total size are decreasing. As the trends continue, this will have important and unpredictable spatial influences on urban retail environment and urban geography. Obviously, there is a strong need for a study exploring changes in retail structure and its influences in urban spaces so that policy makers and planners could take into consideration and help restructuring of this transformation process better. For this purpose, the study explores if the ongoing restructuring process of retailing and its possible geographical consequences can be modeled using a dynamic spatial interaction model as a device to be able to predict the future transformations.Article Citation - WoS: 22Citation - Scopus: 28The Impact of Rail Transit Investment on the Residential Property Values in Developing Countries: The Case of Izmir Subway, Turkey(Emerald Group Publishing Ltd., 2006) Çelik, Hüseyin Murat; Yankaya, UğurPurpose The purpose of this paper is to test whether the rail transit investment in Izmir, Turkey has had positive valuation impacts on the surrounding residential properties, and to estimate the value of travel time using relevant parameters. Design/methodology/approach The necessary data were collected via a survey including all real-estate agents in the area. To test the research question, the Hedonic Price Model (HPM) is used as the research technique. The obtained parameters are also used to estimate the value of travel time. Findings The findings of the models has indicated that the proximity to rail stations was valued at $250-300 per meters, and the value of travel per hour was $1.47-1.83 on average. Research limitations/implications These findings should be checked with more consistent database using transaction process, and the mortgage loan rate which was not legislated at the time of study. Practical implications Until a mortgage loan rate is registered in turkey, the estimated parameters can be used in the cost-benefit analysis of rail transit investments in Turkey. Originality/value The theoretical premise that “any improvement in accessibility will be capitalized into the land values” is tested one more time in a developing country case whose urban environment is substantially different from those of the developed world, especially the North American cities. Furthermore, a new methodology using the HPM parameters is also suggested to estimate the value of travel time.Article Citation - WoS: 25Citation - Scopus: 34Sample Size Needed for Calibrating Trip Distribution and Behavior of the Gravity Model(Elsevier Ltd., 2010) Çelik, Hüseyin MuratConventional calibration algorithms of trip distribution models assume that the analyst has a whole base year trip matrix. To attain a whole trip matrix, the sample size for travel surveys needed to be as large as possible. However, this could be very expensive especially in large cities. Some studies in the past showed a small sized sample would be enough to estimate functional parameters of observed trip length frequency distribution. But the performance of a gravity model with small sized samples has never been addressed. This empirical study has shown that sample sizes as small as 1000 (even smaller for quick response studies) could be as dependable as large sample surveys using a line search calibration algorithm. © 2009 Elsevier Ltd. All rights reserved.