Vural, Danışment

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Name Variants
V.,Danışment
Danisment, Vural
V., Danisment
Vural D.
Vural,D.
Danışment, Vural
D., Vural
Vural,Danisment
V.,Danisment
Vural, Danışment
D.,Vural
V., Danışment
Vural, Danisment
Danışment Vural
Job Title
Doktor Öğretim Üyesi
Email Address
danisment.vural@atilim.edu.tr
Main Affiliation
Industrial Engineering
Status
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
2
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
1
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
2
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
Documents

7

Citations

55

Scholarly Output

5

Articles

5

Views / Downloads

17/79

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

10

Scopus Citation Count

13

Patents

0

Projects

0

WoS Citations per Publication

2.00

Scopus Citations per Publication

2.60

Open Access Source

3

Supervised Theses

0

JournalCount
Computers & Industrial Engineering1
Güvenlik Bilimleri Dergisi1
Operations Research and Decisions1
Promet - Traffic&Transportation1
Sādhanā1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

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Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Optimising Traffic Safety - Locating Traffic Gendarmes Based on Multi-Criteria Decision Making
    (Sveuciliste U Zagrebu, Fakultet Prometnih Znanosti, 2023) Abdulvahitoglu, Adnan; Vural, Danisment; Abdulvahitoglu, Asli
    Turkey's expanding population and growing economy have resulted in a significant increase in automobile ownership, leading to a rise in traffic volume and, subsequently, an increase in the number of accidents. The increase in the number of deaths and injuries caused by traffic accidents has motivated authorities and automobile manufacturers to work together to mitigate the impact of traffic accidents. Therefore, the demand for better roads, modern technologies and higher-quality driver training is becoming increasingly urgent for traffic safety. Due to the scale of harm to the country's economy and society caused by the material and moral losses, resulting from traffic accidents, traffic safety and management is one of the most important government initiatives. One of the responsible units of traffic safety and management in Turkey is the traffic gendarme. This study reviewed the categories of traffic accidents, the number of accidents, and the road network that occurred in a province's gendarme responsibility area in Turkey and linked them with the number of traffic gendarmes in that province. Thus, the study utilised mixed integer programming based on multi-criteria decision-making methods to identify the areas where these traffic gendarmes will be deployed according to established principles.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    Selecting Facility Location of Gendarmerie Search and Rescue (gsr) Units; an Analysis of Efficiency in Disaster Response
    (Pergamon-elsevier Science Ltd, 2024) Abdulvahitoglu, Adnan; Varu, Danismet; Macit, Irfan; Vural, Danisment
    Disasters, referred to as events that result in physical, economic, and social losses for individuals and disrupt the daily activities of human communities, necessitate ongoing preparedness due to their unpredictable nature. Swift response during and after a disaster is crucial for preserving human life. Hence, it is imperative to initiate planning immediately following a disaster to ensure readiness for various tasks. Given these factors, search and rescue units must carefully select a base location that enables them to promptly reach affected areas. Disasters exhibit unique characteristics across different regions of T & uuml;rkiye. While some regions are prone to earthquakes, others face the risks of landslides, avalanches, or floods. Consequently, the required measures for disaster management vary from region to region. Nevertheless, when the term "disaster" is mentioned in T & uuml;rkiye, earthquakes often come to mind due to their frequent occurrence and significant impact. The Gendarmerie Search and Rescue (GSR) units have been actively responding to these earthquakes, renowned for their exemplary institutional discipline and working methods. This study aims to examine the operations and deployment locations of GSR units, which play a crucial role in mitigating the impact of frequent earthquakes in T & uuml;rkiye, utilizing a SWOT analysis. Additionally, a Multi-Criteria Decision Making-based mathematical model will be employed to optimize task activities and to select the most suitable facility locations for GSR units. The use of mathematical modeling in this context ensures that GSR units are strategically positioned to maximize their operational effectiveness and minimize response times. The results will be evaluated through sensitivity analysis.