Investigating the effects of urban vandalism (Case study: Chenaran city, Khorasan Razavi province)

Gholamreza Miri ¹ ( Geography and Urban Planning, Faculty of Humanities, Zahedan Branch, Iran )
Saeid Arefpoor ² ( Geography and Urban Planning, Faculty of Humanities, Azad University, Chabahar, Iran )
Mahmoodreza Anvari ³ ( Geography and Urban Planning, Faculty of Humanities, Islamic Azad University, Zahedan Branch, Iran )

Submited date : 2021-07-02 Accepted date : 2022-03-30

Keywords: space, furniture, view, Vandalism, urban beauty,

Abstract :

Vandalism or deliberate destruction of public property and belongings is one of the social dangers that always causes great damage to the facades, furniture and urban spaces and distorts the beauty of the city. In this regard; The present study investigates the danger of vandalism and its effects on urban beauty in the city of Chenaran. The purpose of the present research in terms of purpose; In terms of application and implementation; It is of a small type. The data of the field section of the research were collected using the distribution of a researcher-made questionnaire among the citizens of Chenaran. The mentioned questionnaire was prepared using Likert scale and was distributed among a sample of 382 people (according to Cochran's formula) from the citizens of Chenaran city. The volume members of the sample were selected by stratified random sampling method. Pearson correlation coefficient and regression analysis model were used to analyze the data in SPSS software. Findings have shown that the variables of socio-economic status, feelings of abuse and discrimination, companionship and communication, degree of socialization, individual factors, cultural factors, marginalization, poverty, addiction, broken window, anonymity and unfair distribution Urban services affect the variable of urban vandalism. Also, multivariate regression results showed that in the present study, 66.5% of the changes in vandalism rate are due to the relationship between a linear combination of independent variables and the remaining 33.5% or indeterminacy coefficient is due to other factors in This research has not been considered. Finally, according to the model fit table in logistic regression; Socioeconomic status variables, individual factors, poverty and broken window were excluded from the research model due to EXP (B) less than 1.