Volume 9, Issue 1 (5-2022)
Journal of Spatial Analysis Environmental Hazards 2022, 9(1): 115-128 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ahmadi M, Kalantari M, Mohammadi M. Spatial analysis of socio-economic factors affecting drug abuse in rural settlements, Case study: Dizaj Abad village, Zanjan township. Journal of Spatial Analysis Environmental Hazards 2022; 9 (1) :115-128
URL: http://jsaeh.khu.ac.ir/article-1-3078-en.html
URL: http://jsaeh.khu.ac.ir/article-1-3078-en.html
1- university of Zanjan , ahmadi.manijeh@znu.ac.ir
2- university of Shahid Beheshti
3- university of Zanjan
2- university of Shahid Beheshti
3- university of Zanjan
Abstract: (3178 Views)
Introductions
Today, various social ills such as addiction, cultural issues and problems have been added to the issues raised in the past and require extensive studies and planning in this area to preserve the small human capital of rural settlements and be used for sustainable rural development. The present study has spatially analyzed the effective factors for drug addiction and abuse. Today, various social ills such as addiction, cultural issues and problems have been added to the issues raised in the past and require extensive studies and planning in this area to preserve the small human capital of rural settlements and be used for sustainable rural development. In recent years, drug abuse has increased worldwide, so that now all countries in the world are incurring significant costs as a result of the damage caused by this phenomenon. Drug abuse has incurred enormous social and economic costs through its devastating effects on human health and the increase in crime and mortality in society, and as a result has become a major threat to societies. There is no specific agreement on the root causes of drug abuse, so that the factors associated with it are numerous and varied, including individual contexts, family characteristics, and social and environmental factors. The present study has spatially analyzed the effective factors for drug addiction and abuse.
Research Method
The type of research is applied and the nature of the research is descriptive-analytical. Independent variables in this study are physical and demographic factors in the study village. The dependent variable of this study is the situation of addiction and drug abuse in Dizajabad village. The validity of the research indicators was reviewed and modified by the professors and the reliability value was calculated based on Cronbach's alpha of 0.784. The statistical population of the present study is villages at risk of addiction and drug abuse. This village was identified through interviews with law enforcement experts and statistics available in this organization as well as unofficial statistics. The number of these villages includes four villages (Sayan (Mahdieh town), Dizajabad, NoghtehBandi and Choreh Nab) which were selected as a sample village using the lottery method of Dizajabad village. The study population in Dizajabad village includes people who are addicted to drugs and abuse in Dizajabad village, which have been collected through irregular interviews, as well as for comparison and assessment between addicts and other people. The questionnaire was completed in all residential units where people lived and the Cochran's formula was used for accurate sampling.
The baseline map was used to perform the analyzes. Using Cochran's formula, 115 residential units belonging to people with addiction and drug abuse were selected as a sample. In order to analyze descriptive data from Excel software and also for correlation between physical characteristics, population of people with addiction and drug abuse, Spss software and Human Whitney and two-group T tests were used in Arc Gis / Arc map environment. Hot Spot Analysis, kernel density estimation and standard deviation ellipse tests were used.
Interpretation of results
Findings show that the spatial distribution of addiction and drug abuse in Dizajabad village is not evenly distributed and are mostly concentrated in the northwest and southeast, which are in these two areas due to the high density of residential units. . According to the tests of hot spots of addiction and according to the studied items, the two southeastern and northwestern parts of the village have hot spots and the standard deviation ellipse in this map indicates that its direction is northwest, southeast. This direction is influenced by the shape of the village. The pattern of drug distribution in the village also indicates that it is concentrated in two parts, northwest and southeast. The median center indicates that the southern and to some extent the southeastern part are more addicted than the other parts. The reason for the increase in the points of addiction and abuse in the two mentioned parts is the density of the residential unit and the existence of a network of winding and unbalanced passages, especially in the southeastern part. Centers of addiction and drug abuse by kernel density estimation method show that the two parts of the northwest and southeast of the village are more affected by drug addiction and abuse.
Keywords: Spatial distribution, Drugs, Addiction, Suburban villages, Zanjan Township
Today, various social ills such as addiction, cultural issues and problems have been added to the issues raised in the past and require extensive studies and planning in this area to preserve the small human capital of rural settlements and be used for sustainable rural development. The present study has spatially analyzed the effective factors for drug addiction and abuse. Today, various social ills such as addiction, cultural issues and problems have been added to the issues raised in the past and require extensive studies and planning in this area to preserve the small human capital of rural settlements and be used for sustainable rural development. In recent years, drug abuse has increased worldwide, so that now all countries in the world are incurring significant costs as a result of the damage caused by this phenomenon. Drug abuse has incurred enormous social and economic costs through its devastating effects on human health and the increase in crime and mortality in society, and as a result has become a major threat to societies. There is no specific agreement on the root causes of drug abuse, so that the factors associated with it are numerous and varied, including individual contexts, family characteristics, and social and environmental factors. The present study has spatially analyzed the effective factors for drug addiction and abuse.
Research Method
The type of research is applied and the nature of the research is descriptive-analytical. Independent variables in this study are physical and demographic factors in the study village. The dependent variable of this study is the situation of addiction and drug abuse in Dizajabad village. The validity of the research indicators was reviewed and modified by the professors and the reliability value was calculated based on Cronbach's alpha of 0.784. The statistical population of the present study is villages at risk of addiction and drug abuse. This village was identified through interviews with law enforcement experts and statistics available in this organization as well as unofficial statistics. The number of these villages includes four villages (Sayan (Mahdieh town), Dizajabad, NoghtehBandi and Choreh Nab) which were selected as a sample village using the lottery method of Dizajabad village. The study population in Dizajabad village includes people who are addicted to drugs and abuse in Dizajabad village, which have been collected through irregular interviews, as well as for comparison and assessment between addicts and other people. The questionnaire was completed in all residential units where people lived and the Cochran's formula was used for accurate sampling.
The baseline map was used to perform the analyzes. Using Cochran's formula, 115 residential units belonging to people with addiction and drug abuse were selected as a sample. In order to analyze descriptive data from Excel software and also for correlation between physical characteristics, population of people with addiction and drug abuse, Spss software and Human Whitney and two-group T tests were used in Arc Gis / Arc map environment. Hot Spot Analysis, kernel density estimation and standard deviation ellipse tests were used.
Interpretation of results
Findings show that the spatial distribution of addiction and drug abuse in Dizajabad village is not evenly distributed and are mostly concentrated in the northwest and southeast, which are in these two areas due to the high density of residential units. . According to the tests of hot spots of addiction and according to the studied items, the two southeastern and northwestern parts of the village have hot spots and the standard deviation ellipse in this map indicates that its direction is northwest, southeast. This direction is influenced by the shape of the village. The pattern of drug distribution in the village also indicates that it is concentrated in two parts, northwest and southeast. The median center indicates that the southern and to some extent the southeastern part are more addicted than the other parts. The reason for the increase in the points of addiction and abuse in the two mentioned parts is the density of the residential unit and the existence of a network of winding and unbalanced passages, especially in the southeastern part. Centers of addiction and drug abuse by kernel density estimation method show that the two parts of the northwest and southeast of the village are more affected by drug addiction and abuse.
Keywords: Spatial distribution, Drugs, Addiction, Suburban villages, Zanjan Township
Type of Study: Research |
Subject:
Special
Received: 2019/11/12 | Accepted: 2022/06/21 | Published: 2022/06/21
Received: 2019/11/12 | Accepted: 2022/06/21 | Published: 2022/06/21
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
