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Spatial Analysis - Time of Stolen Crimes in District 12 of Tehran
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.

An analysis of the physical contexts of crime in urban spaces and the provision of preventive design solutions, case study: Enghelab Street in Tehran
Dr Fatemeh Saffarsabzevar,
Volume 25, Issue 78 (9-2025)
Abstract
One of the most effective approaches to enhancing urban security is crime prevention through environmental design (CPTED), which focuses on the role of urban design in reducing criminal behavior. This study aims to identify the specific environmental conditions that contribute to anomic and criminal behaviors on Enghelab Street in Tehran and to propose design solutions to mitigate these issues. The research employs a mixed-method approach to achieve its objectives. In the first phase, the Placecheck technique—which includes field surveys, expert checklists, and comprehensive checklists—was used to assess and categorize the environmental conditions of the study area. Based on this analysis, potential solutions to reduce crime were proposed. In the second phase, the Analytic Network Process (ANP) method was applied to prioritize these solutions and identify the most effective strategies for crime prevention and reduction in the area. The findings of this study reveal that environmental pollution, visual clutter, overcrowding, and inadequate nighttime lighting are the most significant environmental factors contributing to crime on Enghelab Street. The most effective solutions to reduce crime and enhance security in the area include: removing obstructive furniture and elements from pedestrian pathways, clearly defining activities and land uses in ambiguous spaces, installing signage and landmark elements along the route, regulating advertisements, and implementing standardized nighttime lighting to support safe activities. The results of this research demonstrate that even minor environmental modifications can have a substantial impact on reducing crime and improving security.

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Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)