پژوهشنامه جغرافیای انتظامی
پیاپی 44 (زمستان 1402)

The review of the research projects that have explored the evaluation and mapping of urban security vulnerability shows that this issue has various dimensions and is affected by spatial, social, and economic factors and these dimensions are determined through factors such as land use combination, street connectivity, infrastructure and demographic and social data.

In this research, after identifying the indicators related to the topic, the data related to them were collected at the level of localities in 22 districts of Tehran. Then it was used through the F'ANP method, which is a multi-criteria evaluation method for building composite indices.

The results of this research, which is the result of the combination of 14 indicators in 354 neighborhoods of Tehran, show that five main components can be identified in the construction of the urban security vulnerability composite index, which are: risk and threat level (at risk), economic activity density, total unemployment composition, traffic nodes, and dependent population.

The spatial distribution of these components at the level of neighborhoods in Tehran shows that the components of risk/threat level and traffic nodes have a north-central distribution. The components of economic activity density, the composition of total unemployment, and the dependent population are cluster components. In total, the highest values of urban security vulnerability were in central areas 11 and 12 and northern area 1 of Tehran, and the lowest values were related to northeastern areas 3 and 4 of Tehran.

Realizing the importance of accidents and taking into account the location of Saveh city and the lack of consistent studies in this regard, the present research tries to investigate the accidents of Saveh city and prioritize accident-prone areas with the help of GIS and spatial analysis.In this research, while showing the two-year accidents of 1400 and 1401 on the map, taking into account the type of accidents, the spatial analysis of the accidents has been carried out using the Kernel density function, the nearest neighbor index, the global Moran index, and the general statistic G (coefficient). Finally, by using Enslin's local Moran's index, we classify roads according to the type of accident.Based on the findings of the research, four areas including Azadi Square, Shahrdari Square, Beheshti Boulevard and Sepah Boulevard have the highest number of urban accidents.According to the results, it was found that more damage accidents occur in main roads and high traffic roads including markets and commercial and medical centers, and the most fatal and injured accidents in the city are in the beltways of the city, where both the speed of vehicles is higher and the combination of heavy and light vehicle traffic. There is happening. The best solution to reduce casualties and damages in Saveh city is to build a ring road from north to east in order to separate the traffic of light and heavy vehicles, as well as to make the police monitoring of urban roads more intelligent.

The aim of this research is to evaluate the effects of the elements of good urban governance on the partial realization of security dimensions in the urban space, a case study of the 9th district of Tehran. The research method is descriptive-analytical. The data collection tool in this research was collected by a researcher-made questionnaire. Its validity was done by the formal method and its reliability was done by Cronbach's alpha coefficient. The statistical population of the research was the citizens living in the urban area of District 9 of Tehran, and the sample size was considered to be 384 people using Cochran's formula. The findings of the research indicateimprovement in the target areas is very different from each other. T There is a significant correlation between the indicators of good urban governance with the index of transparency, justice and fairness, as well as effectiveness at a low level, and among the indicators of participation, consensus building at a medium level, as well as between the indicators of the rule of law, accountability, and efficiency at a higher level. The total results have shown that the degree of predictability of good urban governance indicators is different in the surveyed localities, so that the industrial areas of Fatah, Shahid Dastghaib have a positive index coefficient, and localities such as Imamzadeh Abdullah and Shamshimiri have a positive index coefficient. Average and the neighborhoods of South Mehrabad, Sar Asiyab, Ostad Moin and Dr. Hoshiar have a negative regression coefficient.

Violent crimes have fatal effects on the social life of society and incur irreparable costs. Compared to other crimes, these types of crimes have more destructive and severe consequences and challenge social order and cohesion more strongly. Various economic and social factors are effective in the occurrence of such crimes. The purpose of this article is to study the impact of these factors on the occurrence of violent crimes in Central Province in the last ten years. In this research, we have used a quantitative method (with a secondary analysis approach). The statistical population of this research includes economic and social data and data of some violent crimes in the two cities of Arak and Saveh, and the whole number sampling method was used to collect data. Dynamic panel data model and ordinary least squares method are used to estimate the effect of socio-economic factors on violent crimes in Central Province, during the period of 2012 to 2014. The research results indicate that the increase in unemployment rate, consumer price index, Gini coefficient and population has a positive and significant (direct) impact on violent crimes in Central Province. Meanwhile, increasing education has a (direct) negative and significant impact on violent crimes in Central Province.

the division of the geographical area of Koop seems to be necessary to determine the scope of the activity of police patrols, the notified and determined frameworks so far have not been able to determine the effective factors for blocking the protection area of Koop based on its type, on the basis of this research, the effective factors It has explored the geographical area of Koop in the police command complex of Lorestan province.

The present study is applied in terms of its purpose and qualitative in terms of the nature of the data, in the form of an interpretive paradigm and of an exploratory type. They were selected purposefully, data was collected with semi-structured interview tool and thematic analysis was used to analyze the data, two strategies of external review and pluralism were used to validate the research model.

The codes obtained from the interviews conducted with experts indicate that a total of 40 basic themes were identified regarding the factors affecting the geographical area of Kop in Lorestan province, which were organized in the form of 11 organizing themes and 5 inclusive themes.

Based on the findings of the research, factors such as the type of places, roads and transportation axes, the topography of the protection area, law and order security issues and the resident population were identified, which are effective on the way of blocking the geographical area of Kop in Lorestan province.