جستجوی مقالات مرتبط با کلیدواژه « Theft » در نشریات گروه « جغرافیا »

Today, due to rapid population growth, increased activities, and the abundance of vehicles, ensuring the peace and security of citizens has become a difficult, time-consuming, and costly task. Security is a complex issue with social, economic, and cultural dimensions, and it is considered one of the main components of quality in urban spaces. Furthermore, the physical components should not be overlooked, as they play a significant role in this matter.

This study aims to analyze the physical and functional factors that influence the potential for theft in the Baharan neighborhood of Mashhad. The research method used is applied, quantitative, and descriptive-analytical. GIS and SPSS software were employed to analyze the data. The study utilized the insights of 11 experts to identify the physical and functional factors affecting the potential for crime. This was done through library studies and the use of the Delphi questionnaire.

The results indicate that there are 9 factors that have an impact on the occurrence of crime: lighting, visual access, public transportation, land use, vegetation, physical form, access (passages), density and compactness of the area, and urban block size.

Considering the methodology of the nine-component analysis, hotspots with a high potential for crime have been identified at the neighborhood level in Baharan. Using spatial analysis, the components of lighting (with an average rank of 7.13), visual access (6.45), public transportation (5.22), and land use (5.04) were found to have the greatest impact on the potential for crime in this area. Based on this, Janbaz, Sajedi, and Tous Streets have been identified as vulnerable areas in terms of theft occurrence. Proposed measures to reduce crime include increasing pedestrian pathway lighting, activating large-scale vacant lots, controlling motorcycle access, and implementing suitable tree pruning for improved surveillance of the neighborhood.

Spatial analysis of such crimes can provide a clear geographical perspective for planning and policing management in the protection territoriesof urban areas. The main goal of the current research is the spatial analysis of theft crimes in Esfarayen city.

This inqury in terms of purpose, is of the type of applied research, and in terms of methodological approach, it is based on description and spatial analysis. The area under study is the city of Esfarayen, located in North Khorasan province. The data used includes 945 cases of theft crimes in a one-year period, from 21-3-2021 to 3-3-2022, which were received from the police force command of Esfarayen city. Excel and ArcGIS software were used for data analysis.

Most of the shop thefts are related to the central core of the city (ImamKhomeini and Motahari Streets). In terms of car theft, the most thefts in the central core of the city are (Taleghani, ImamReza, ImamKhomeini, Motahari, Farumandi, Moalem, and Valiasr streets). Important thefts Most of the houses happened in more prosperous neighborhoods and the theft of private places occurred on ImamKhomeini, Motahari, SheikhAzari, the beginning of ValiAsr and the beginning of ImamReza streets, and the theft of car accessories occurred on ImamKhomeini-ImamReza-Talqani-Moalem and Motahari streets.

according to the findings, the spatial patterns of the formation of theft hot spots in the city of Esfarayen are affected by the decline of economic indicators, social and cultural problems, poverty, Drugs addiction, divorce, unemployment and urban marginalization.

Today's cities are facing all kinds of urban problems and damages in parallel with the increase and expansion of the population and physical spaces. The city of Chalus is not an exception to this rule, somehow the occurrence of all kinds of thefts of second homes in this city is much higher than other cities.

The current research is applied in terms of type and purpose and descriptive-analytical in terms of nature. The information required for the research has been prepared by documentary method. For this purpose, the crimes of second house theft registered as a statistical population have been studied. Using statistical tests in the ARCGIS environment, the centers of thefts in Chalus city have been identified and spatially analyzed.

The findings show that the seasonal distribution of thefts from second homes in Chalus city was in the summer season, 84 thefts in the fall season, 79 thefts in the winter season, and 58 thefts in the spring season. Based on this, the most theft occurred in the summer season, so that the oval of standard deviation in the city of Chalus is located in the direction of northwest to southeast with an average elongation, but it has differences in different seasons.

The pattern of distribution and dispersion of crimes also depends on the time, place and seasons of the year, which means that the number of thefts has also changed with the change of hours during the day and night.

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 Sachr('39')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.

The growing trend of committing crimes such as robbery in the country is a function of economic conditions, especially unemployment. Unemployment is one of the most chronic complications that is not pleasing to any economic system and is one of the main factors in increasing theft crimes in society. Given the importance of the issue of theft crimes, the present study has investigated the relationship between unemployment and theft in the country.The research method in this study is based on descriptive-analytical methods and the use of quantitative methods. In this research, the relationship between unemployment and robbery crimes in Iran in the period (2016-2017) has been investigated using a bivariate Moran spatial-correlational model. ArcGIS and GeoDa software were used to analyze the data as well as draw the maps. The required data and information have been obtained from the general population and housing censuses of the years (2006, 2011 and 2016) as well as the judicial affairs section of the statistical yearbooks of the country (2006-2017).The results of the research indicate that theft crimes in the country during 2016 compared to 2011 has increased by about (34.4) percent and compared to (2006) by about (208) percent. The results of the model of spatial autocorrelation between unemployment and robbery in the country indicated that the provinces of Tehran, Khorasan Razavi, Isfahan, Qom and Semnan in the H-H cluster (indicating the high rate of unemployment and robbery in these provinces). As well as neighboring provinces and the provinces of East Azerbaijan, Zanjan and West Azerbaijan are in the LL cluster (indicating low unemployment and theft in these provinces as well as neighboring provinces); Therefore, the results indicated that there is a positive and significant relationship between unemployment and theft in the country.

The spatial configuration is the way spaces are placed together and in their relationships, which illustrates the importance of spatial communication in the whole system. Goal : In order to measure the relationship between security and spatial configurations, the indicators of interconnection, connection, selection, control, and types of theft crimes have been investigated.

Geographical area of research: 

The study area of the research is the legal area of Pakdasht city.

The present study was carried out with the attention of the spatial event of exploratory atrocities and then to investigate the spatial factors affecting the occurrence of crimes of an analytical type.

In these maps, an analysis of the distribution of various types of theft crimes related to the spatial configuration of the city has been obtained. Finally, the correlation between spatial configuration and types of crime counts in SPSS software was measured by Pearson correlation test.

The results of the research show that there is a positive correlation between opportunistic crime (theft) and spatial configurations indicators. This means that an increase in the level of these indicators results in an increase in the number of crimes of theft and the perpetrators, in such a context, can possibly steal more. However, in detail this relationship and the connection with the theft of residential houses and casings have been negated, and the theft of residential houses has occurred in less interconnected areas, but with a higher depth.

Nowadays the problem of increasing the rate of delinquency and social deviations is one of the most important and most fundamental problem in many cities in the world. After years criminologists have found that certain locations effect on crime. So in recent years researches about the interaction between the physical environment of cities and social ills and crime has become increasingly important. Theft is one of the most important types of crime and delinquency. There are a variety of different forms of theft at the community level.

This study, Identifying and Spatial-temporal Analysis of urban Crime Hotspots, have been conducted in Semnan. Geographical information system and SPSS software are used in this study to do spatial and temporal analyze. In this study some crimes have been studied as a sample that took place in legal limit of Semnan city in range of 1394/1/1 until 1394/29/12. Then after preparing a database of theft and using statistical and graphical tests, crime hotspots have been identified and analyzed in a spatial way in Semnan city. This is a descriptive and analytical research and data is provided by library and statistical information and field observations.

The results showed that the urban crime hotspots of Semnan are in the Imam street. With more details this area extends from Imam square to Mazandaran crossroad. These hotspots also lay in Semnan market. This market is in the crowded and bustling part of city and has mostly commercial function and unsuitable physical structure. It is cleared that in terms of time, the highest rate of theft in Semnan city had occurred in warm months of year as well as the initial days of the week. The results showed that most of thefts had occurred in a time between 9 A.M until 13 P.M.

The urban environment has different effects on urban spaces and citizens 'lives, the most important of which is the increase in crime and the decrease in citizens' sense of security. The phenomenon of theft and urban insecurity is somehow related to the order and security of the country and due to the psychological and physical damage to the lost property, leads to insecurity in society. One of the strategies to prevent crime and consequently theft is to prevent crime through environmental design and attention to the geographical environment of crime. The purpose of this study was to investigate the environmental conditions in the occurrence of theft. The research method was descriptive-analytical based on library and field studies. Findings of the study emphasize the importance of the role of location in Shahroud in the amount and frequency of robbery. It shows that the role and effect of the body and physics of cities and the proper design of urban spaces and biological complexes have had a direct impact on crime reduction and prevention. Therefore, considering the relationship between defenseless spaces and the crime of theft, by reducing defenseless spaces and paying attention to the crime scene and proper design of the environment, it is possible to prevent the occurrence of some crimes.

Defenseless spaces have different effects on urban spaces and the lives of citizens, which have the greatest impact on increasing crime and reducing citizens' sense of security. This is especially true in urban worn out and inefficient texture. The purpose of this study was to investigate the relationship between defenseless spaces and theft at Harandi neighborhood level. For the purpose of this research, this research is a part of applied research and is a part of descriptive - analytic research component. The data collection method was documentary-survey. To determine the unsafety of a different part of the neighborhood at the first, the neighborhood is divided into 20 blocks based on local trails and then from 22 sub-indicators in the form of 5 indicators of defenseless spaces. Using entropy and viquor method, weighing and ranking of different parts of the neighborhood have been addressed. A geographic weighting regression has been used to investigate the relationship between defenseless spaces and theft offenses. The results of the research have shown that the relationship between the defenseless spaces at the neighborhood level is not the same. In this research, the greatest relationship has been between defenseless areas and theft crimes in the eastern neighborhood, especially in the southeastern neighborhood of the neighborhood and in accordance with Shoosh park between Shoosh streets, Ray street and Anbar - e – Gandom street. In contrast, the least relation between defenseless space and theft was also in the western and northwestern neighborhoods. With regard to the relationship between defenseless spaces and crimes (robbery), with the reduction of defenseless spaces, some crimes can be prevented.

Prevention of crimes has always been one of the major issues in human life. It has been approached in different ways throughout the history. This study aims to identify the areas where motorcycle and bicycle thefts occur as a crime in order to help the police units have targeted management and identify the factors involved in such crimes in Semnan. The geographic information system and the SPSS software are used for place and time analyses. The statistical society of this study consists of the criminal acts of theft committed in the legal precinct of Semnan. The research method is descriptive-analytical, and the data are provided through library and field studies. The results of the research show that the hottest spots for stealing motorcycles and bicycles are located in Mehr housing complex and Jahadieh district as two residential areas in the city of Semnan.

Crime is one of the most important social problems in most cities in the world, which affects the lives of citizens. The aim of this article is the identifying the centers of pick-pocketing in the city of Semnan and explaining the factors influencing this delinquency in this city. This is a descriptive-analytical research. Statistical models and graphic-based models have been used in the geographic information system (GIS) in order to identify and understand the spatial patterns of the mentioned crimes in Semnan. The required information on the amount and type of crime has been obtained from the police. The findings of this paper show that the crime hot spots are more concentrated in the central part of the city of Semnan and the city's market, and in terms of time, the peak of this theft occurred on Saturday and Wednesday of the week and from 9 to 13 hours. On the other hand, the high level of commercial usage and the lack of some of the necessary usages for citizens, like green space which made the official monitoring of these areas very difficult, has influenced in increasing geographical distribution, the type and amount of crimes and the formation of spatial patterns of delinquency. It seems that with the organization and promotion per capita of facilities, equipment and services, creation of health recreational and leisure spaces, the expanding of the network of roads and locating the law enforcement centers in order to increase the official monitoring in this area, and the physical correction of residential spaces in this area, it is possible to reduce the vulnerability of these spaces and the rate of crimes.

Security is a multidimensional and complex concept That to have a vibrant and healthy community, achieving an acceptable level of it, Is a basic requirement. One of the most important aspects of security, Citizens feel secure Against burglary. In rural settlements that Located in the central district of the Rawansar township, Until the last few years, Theft of livestock, crops and agricultural machinery and etc., There is a lot of growth. So that Several Families Due to theft, have lost A significant amount of their capital and A significant number by force The main sources of their livelihoods, sold or Have to migrate from villages. The purpose of This quantitative research, that is of Analytic descriptive study, is a Review and analysis Emotional state security Against burglary and Determinants of it in the Rural settlements that located in central district of Rawansar township. Research statistical population included All heads of rural households Living in the central district of the Rawansar township and Due to the Financial and time Restrictions, in this study, Unable researchers to Review Comments all rural households and with Using the Bartlett et al table, considered 200 persons of them as the statistical sample. The main research tool for data collection, a questionnaire was made That Its validity and reliability Confirmed, With scientific principles. The results showed The most common type of theft among the Livestock in study area was theft and Theft the Agricultural machinery and equipment and Average calculated for a sense of security in the study area was 2.63, That is Indicating poor sense of security. Shows Results the final regression model fitted That Four variable associated with the feel safe among villagers of the central district of Rawansar township, they could Explain 0.57 of the variance in the dependent variable. Identified variables Respectively Most of the standardized regression coefficients Include: Distance to the security centres (-0.321), The distance from the main road (0.278), Social capital (0.273) and Ownership of capital resources (-0.152). Accuracy in Type and The effect of the above variables,

Usually there is a place in every city that we call dangerous neighborhoods, and in these areas, crimes are simply happening, and when we have to pass through these streets or neighborhoods, we just want to pass quickly and always the reasons for the emergence of such places. In cities, it's a question for everyone. Indeed, if people choose a place for life, the first thing that carries their minds is the existence of security, because security is an important indicator for raising the quality of social life, and one of the factors that it creates is its security. The purpose of this article is to investigate the environmental factors affecting the crime of theft. The study area is located in Qom, and areas 1 and 7 of this city have been investigated as a case. The research method is descriptive-analytic based on the scroll and is used by the questionnaire. The results of the research indicate that, from the viewpoint of residents in the Qom area, the indicator of the guardian of the neighborhood with an average of 4.21 could have the greatest impact on the reduction of theft crime and the population density has the least effect, on the other hand residents of the seven area increase the quality The door and windows with an average of 4.46 main factors in reducing the crime and providing the facilities and facilities for the better performance of the neighborhood by the municipality have the least impact. Also, there is a direct relationship between municipalities with a correlation coefficient of 0.48, such as physical protection of the neighborhood with a coefficient of 0.29 and a reduction in the crime of crime in areas 1 and 7, so the greater the physical protection and provision of facilities, facilities and urban infrastructure, the amount of theft in These areas will be reduced.

The difference in the properties of spatial and temporal behavior patterns, spatial distribution of different crime in urban areas creates and since the offenders in a very deliberate and logical act and places for their criminal acts chooses to commit a crime with a lower risk and speed More possible.The aim of the present study are among the terms applied research and survey methodology. The results indicate that the surface areas of the city of Tabriz, robbery in zones 8 and 1 and 2 is distributed according to field studies, the most important reason that can be pointed out that these areas are more affluent and accommodation middle and upper classes are in Tabriz. Then the relationship between land use areas with robbery were in Region 1 and 2 in Tabriz, the highest percentage of robbery related to residential is the highest percentage of land in these areas have expanded, but at 8 Tabriz sector the central city includes the highest percentage of crime to business users - the service is concerned. According to the surveys, it can be concluded that a balanced distribution of different land uses in the city, on the one hand can increase social control in the deserted town and on the other reduce the excessive density of population in areas of dense city, in this way we can prevent crime.

Increasing population in urban areas of developing countries with inefficient social, economic, and social justice implications of plays the increase in crime and delinquency is one of the most important. For this reason, efforts to improve urban security and ways to promote it to one of the challenges for planners, managers and researchers related to urban areas has become. The present study aims to identify and analyze the spatial-temporal theft related crimes in the period 1388 to 1391 is the central part of the city of Qazvin. Analytical method that using GIS software and software side (Crime Analysis) is performed. The results indicate that in the field of security offenses, police station 17 to the 13, 11, 12 and 14, respectively Klantryhay are next in rank, In the area of economic crimes, police station 11 to the 17, 12 and 13, respectively, and at the end of the 14 highest crime. Finally, in the context of social crimes, most of the police station and police station 11, 12, 17 and 13 and the last 14 are next in order.

Urbanization in developing countries led to the emergence of metropolitan cities and consequently in population density which in turn has resulted in many benefits and drawbacks. The spread of crime and especially theft is one of the inevitable outcomes directly affecting the welfare and security of the families which in turn has brought about challenges such as difficulty in planning fighting against crime. This study analyses the relationship between theft and population density in Kermanshah urban areas using a descriptive-analytical research method. The statistical population is the 2011 population of the city and the crimes committed in the meantime. Arc/GIS and SPSS soft wares were used to analyze the data. The results indicated that theft spatial distribution in Kermanshah follows a centralized clustered model. It was also found that there is a 5% significance level difference between population density and theft and that there was no significant relationship between the scope of the area and theft.