Suggesting A Stochastic Measurement Tool for Determining Crime and Safety Indexes: Evidence from Turkey

IF 1 Q3 MULTIDISCIPLINARY SCIENCES gazi university journal of science Pub Date : 2022-12-22 DOI:10.35378/gujs.1110735
Hamit Erdal, Kemal Gürol Kurtay, Hakan Ayhan Dagistanli
{"title":"Suggesting A Stochastic Measurement Tool for Determining Crime and Safety Indexes: Evidence from Turkey","authors":"Hamit Erdal, Kemal Gürol Kurtay, Hakan Ayhan Dagistanli","doi":"10.35378/gujs.1110735","DOIUrl":null,"url":null,"abstract":"Crime is a phenomenon that disrupts the welfare and structure of society and has become an important problem in both developed and developing countries. In recent years, in parallel with the increasing rate of urbanization all over the world, there has been also a serious increase in crime rates. With the increasing crime rates, the fear of crime has emerged in the individuals who are part of the society. Fear of crime is the degree of anxiety an individual feels about the deterioration of the social structure. This degree of anxiety is expressed by crime and safety indices today. In this study, a new measurement tool is proposed in order to eliminate the effects such as emotional preference, decision-making difficulty, etc. For this purpose, the Stochastic Multi-Criteria Acceptability Analysis-TRI (SMAA-TRI) method, in which the measurement can be made with interval and dispersed values, and the probability theory can be reflected as an effect on the decision analysis, has been utilized to measure the crime and safety indices, determined by online survey up to now, because of the fact that the experts/participants had difficulties in expressing their preferences clearly during their evaluations. It has been determined that the index values obtained as a result of the study coincide with the results of the surveys made with thousands of people and that the SMAA-TRI method can be used effectively in determining the crime/safety indices.","PeriodicalId":12615,"journal":{"name":"gazi university journal of science","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"gazi university journal of science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35378/gujs.1110735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Crime is a phenomenon that disrupts the welfare and structure of society and has become an important problem in both developed and developing countries. In recent years, in parallel with the increasing rate of urbanization all over the world, there has been also a serious increase in crime rates. With the increasing crime rates, the fear of crime has emerged in the individuals who are part of the society. Fear of crime is the degree of anxiety an individual feels about the deterioration of the social structure. This degree of anxiety is expressed by crime and safety indices today. In this study, a new measurement tool is proposed in order to eliminate the effects such as emotional preference, decision-making difficulty, etc. For this purpose, the Stochastic Multi-Criteria Acceptability Analysis-TRI (SMAA-TRI) method, in which the measurement can be made with interval and dispersed values, and the probability theory can be reflected as an effect on the decision analysis, has been utilized to measure the crime and safety indices, determined by online survey up to now, because of the fact that the experts/participants had difficulties in expressing their preferences clearly during their evaluations. It has been determined that the index values obtained as a result of the study coincide with the results of the surveys made with thousands of people and that the SMAA-TRI method can be used effectively in determining the crime/safety indices.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
提出一种确定犯罪和安全指数的随机测量工具:来自土耳其的证据
犯罪是一种扰乱社会福利和结构的现象,已成为发达国家和发展中国家的一个重要问题。近年来,在世界各地城市化率不断提高的同时,犯罪率也大幅上升。随着犯罪率的上升,作为社会一部分的个人对犯罪产生了恐惧。对犯罪的恐惧是个人对社会结构恶化的焦虑程度。这种程度的焦虑表现在今天的犯罪和安全指数上。在本研究中,为了消除情绪偏好、决策困难等影响,提出了一种新的测量工具。为此,随机多准则可接受性分析TRI(SMAA-TRI)方法,其中可以用区间值和分散值进行测量,概率论可以反映为对决策分析的影响,由于专家/参与者在评估过程中难以明确表达自己的偏好,因此被用于衡量迄今为止通过在线调查确定的犯罪和安全指数。已经确定,作为研究结果获得的指数值与对数千人进行的调查结果一致,SMAA-TRI方法可以有效地用于确定犯罪/安全指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
gazi university journal of science
gazi university journal of science MULTIDISCIPLINARY SCIENCES-
CiteScore
1.60
自引率
11.10%
发文量
87
期刊介绍: The scope of the “Gazi University Journal of Science” comprises such as original research on all aspects of basic science, engineering and technology. Original research results, scientific reviews and short communication notes in various fields of science and technology are considered for publication. The publication language of the journal is English. Manuscripts previously published in another journal are not accepted. Manuscripts with a suitable balance of practice and theory are preferred. A review article is expected to give in-depth information and satisfying evaluation of a specific scientific or technologic subject, supported with an extensive list of sources. Short communication notes prepared by researchers who would like to share the first outcomes of their on-going, original research work are welcome.
期刊最新文献
Application Of Biomimetic Strategies In Building Envelope Design For Water Harvesting Optimization Strategies for Electric Vehicle Charging and Routing: A Comprehensive Review Hybrid Deep Learning Model for Earthquake Time Prediction Expression patterns of eighteen genes involved in crucial cellular processes in the TP53 pathway in Multiple Myeloma Effects of Mechanical Milling and FAST Sintering on Mg Powders: Microstructural Analysis and Mechanical Properties
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1