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Showing 2 results for Crime

Dr Fatemeh Saffarsabzevar,
Volume 0, Issue 0 (3-1921)
Abstract

One of the most important approaches to increasing security is crime prevention through environmental design that focuses on urban design. The current research aims are to examine the exact environmental conditions that are effective in committing crimes in Tehran's Englebal Street and to provide design solutions to reduce crimes in this place. This study used a combined method to achieve the research goal. For this purpose, in the first part, by using the technique of Placecheck (including field survey and also preparation and completion of experts' checklist and comprehensive checklist), the environmental conditions of the studied area were classified and solutions were presented to reduce the crime in the target site. In the second part of this research, to prioritize the solutions and choose the optimal solution to prevent crime and reduce it in the studied area, the network analysis method (ANP) was used. According to the findings of the present research, Environmental pollution, visual pollution, crowding, and the issue of light and standard lighting at night are the most important environmental factors of crime in Tehran's Enghelab Street. Also, the most optimal solutions to reduce crime and increase security in the studied area are: removing furniture and elements attached to the footpath, legible definitions of activities and uses in illegible points of the space, creating signs and index elements along the route, limiting advertisements and creating standard lighting during the night to carry out activities. Based on the results of the current research, minor changes in the environment can have great effects on reducing crime and increasing security
Nabi Moradpoor, Keramatolah Zayyari,
Volume 22, Issue 65 (6-2022)
Abstract

Spatial Analysis of Crimes at Different Hours of the Day, the Days of the Week, Month, and Seasons is an Effective Way to Control and Prevent Urban Crime. These analyzes give city management and other city safety officials, including law enforcement officials, the possibility to take preventive measures to eliminate or mitigate the effects of these factors in the city. The purpose of this study was to investigate the spatial analysis of theft crimes on a daily, weekly, monthly and seasonal basis in the 12th metropolitan area of Tehran. The research method in this article is descriptive-analytic. The comprehensive statistical data included the statistical blocks of 1390 in the neighborhoods of the 12th district of Tehran and the crimes related to theft in 2010. The most important statistical tests used are the Center-Medium and Oval-standard deviation tests, and from among the clustering tests, the nearest neighbor index is used to identify massive cores. The results of this study indicate that 446 crimes related to theft, Ferdowsi and Lalehzar neighborhoods, and Sa'di Baharestani have the most crimes and minorities in Kosar and Mokhtari. The pattern of distribution of crimes in the 12th region is clustered and the most important crustal focal points are formed at the intervals of the Shemiran, Iran, Baharestan - Saadi, Ferdowsi -Laleh Zar, Arg Pamenar, Imamzadeh Yahya and the Cascade. The spatial analysis of stealing crimes also suggests that the direction and extent of theft is different at different times of the day, weekdays, and on a monthly basis.


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