محمود صفارزاده

In the supply chain, factors such as political issues, demand fluctuations, technological changes, financial instability, and natural disasters lead to increased uncertainty and the emergence of various risks. One of the most important and complex stages of logistical support in organizations, particularly in military and law enforcement organizations, is the forecasting process. Due to its vital role in improving logistical functions, this process highlights the necessity of designing and establishing effective forecasting systems. This research examines the importance of forecasting and estimation in logistical functions and analyzes the requirements that must be followed when designing a forecasting system for the country’s 10-year horizon. The research method is a questionnaire survey evaluated by 120 participants. The case study of this research is the Amirabad Special Economic Zone (Mazandaran), from which all necessary information and data have been collected. This region plays a crucial role in trade and economic development in northern Iran, with various investments in logistics and transportation.

The increase in motor vehicles has greatly increased air pollution in the Tehran metropolis and turned it into a challenge. By analyzing transportation pollutants, low-carbon cities and sustainable development strategies for urban districts can be achieved. This study deals with the spatiotemporal analysis of pollutants and transportation accessibility in the urban districts of Tehran. The concentrations of CO and NO2 pollutants were extracted from the Sentinel-5P satellite using coding in the GEE environment. OSM data were used to calculate the accessibility of the 22 urban districts. Moran's global autocorrelation indicated a clustered spatial distribution pattern of pollutants. The high autocorrelation value equal to 0.94 for CO and NO2 pollutants indicated their cumulative state in the atmosphere. By performing LISA, most clusters of these pollutants were identified in the central districts and southern suburbs. The average accessibility indicator of the 22 districts was 24.82 km/km2. About half of Tehran's urban districts had a high density of road transport networks. These districts are located in CO and NO2 clusters owing to the high traffic volume of motor vehicles. The results of this study emphasize the factors that aggravate Tehran's air pollution, including the clustered pattern of pollutants in the atmosphere and dense transportation network in urban districts. By integrating air pollution analysis and accessibility estimations into urban planning frameworks, cities can strive to achieve long-term sustainability goals.

The growth of cities population has caused many problems in the large cities. Among the largest and most prominent are the high volume of vehicles in the passages of such cities, which have caused damaging effects such as pollution, disruption of public traffic, public disturbance, etc. in the central of cities area. One of the most important approaches used to manage demand and financial is the use of congestion pricing. Therefore, in this study investigates the pricing effects of Tehran traffic scheme on retailers and shops customers of this area. The target community of this research is the customers who shop inside the Tehran traffic plan and have the possibility of using a private car. For this purpose, a questionnaire has been designed using stated and revealed preferences methods, and it has been collected in the form of on-site questioning, and then its information has been evaluated by binary logit models and NLogit 5 software. The results show that the consumers of the three commercial land uses of apparels, bags and shoes, electronics and home appliances that are most in the range are sensitive to cordon pricing. For prices of scheme above 20,000 Tomans, the amount of customer changes for all three categories of goods is similar.

Road accidents and the resulting casualties are one of the current challenges of human societies that have imposed significant economic costs on countries. In Iran, an average of 17,000 people die each year due to road accidents. Among them, human factors have been mentioned as the main cause of accidents, The aim of this study was to find challenges and provide solutions to prevent accidents and reduce casualties. In this study using literature review and interviews with relevant experts , a questionnaire with 24 questions that included human factors affecting accidents was developed and given to the statistical population, which after analyzing the results, the possibility of identifying challenges and providing various solutions to prevent accidents caused by human factors was created. Using document analysis method and basic principles regarding accident prevention were statistically analyzed, and through interviews with experts, the factors affecting the challenges of traffic police in preventing accidents caused by human factors were identified, and after necessary analysis in this field and using the methods of forming IFE and EFE matrices, the necessary environmental analysis was done, and 7 threats and 3 weaknesses were identified, which with the identification of challenges in this regard, the possibility of providing solutions to prevent accidents caused by human factors was created with the help of expert opinions and finally, after being raised in the expert meeting and discussion in this regard, 12 solutions were identified and presented to overcome these challenges

Road accidents and the resulting casualties are one of the current challenges of human societies, which have imposed a lot of economic costs on the economies of countries. In Iran, on average, 17 thousand people die each year due to road accidents. In the meantime, the human factor has been mentioned as the main cause of accidents, and many conditions such as fatigue, sleepiness, lack of skills, consumption of alcoholic beverages, drugs, etc. affect the human factor. In this research, the aim was to find challenges and provide solutions in order to prevent accidents and reduce casualties.

This research is of an applied type and the method of collecting information in it is mixed exploratory. In this research, using a review of the research background, theoretical foundations and interviews with experts in this field, a questionnaire with 24 questions that includes human factors affecting accidents was compiled and applied to a statistical population of 63 people, which includes Experts and experts in this field were given. Then, the data obtained in this stage were analyzed using SPSS software and quantitative description results were obtained. Then, by using the SWOT method, the four roles of these factors were determined, which was obtained after the analysis of the results (the necessary analysis in this field was carried out using the IFE and EFE matrix formation methods and the necessary ecology was also addressed).  It was possible to recognize the challenges and provide different solutions in order to prevent accidents caused by human factors.

The guiding elements in the prevention of accidents caused by human factors were obtained by the foundation data method, and 24 effective factors in the prevention of accidents caused by human factors were determined by the content analysis method; Using the SWOT method, four roles were calculated, which were 3 weakness factors, 7 strength factors, 6 opportunity factors and 7 threat factors (one factor was ineffective and was removed). By identifying the challenges in this regard with the help of expert opinions, it became possible to provide solutions to prevent accidents caused by human factors. According to the phases that were taken in this research, the challenges of IRI Traffic Police in preventing accidents caused by human factors were identified in the form of weaknesses and threats, and finally after being brought up in the expert meeting and discussion. In this context, the number of 19 solutions to solve these challenges were counted and presented.

The results of this research show a plan with 19 solutions whose main goal is to prevent accidents caused by human factors and considering that the human factor is the most important and influential factor in the occurrence of traffic accidents. By implementing the 19 solutions listed by the IRI Traffic Police, an effective step can be taken to reduce human casualties caused by road accidents.

Training of professional drivers has been considered widely in the countries, greatly developed in traffic safety. Also in our country, tangible increasing in statistics of road and urban car accidents is observable which led the authorities to set professional courses for drivers. The main purpose of this project is ranking the courses and headings of training professional drivers. Required data were collected as questionnaire sheets, answered by 39 experts and 80 professional drivers about the loading and passenger transportation. At last five training courses (Professional driving skills, Vehicle specification, Occupational health, Road transportation rules and regulation, Criteria of handling and inhibition of different loads) and headings of each course, That is a total 24 headlines, were ranked by FAHP-FTOPSIS hybrid model. Results show that professional driving skills, public transportation criteria, professional health and safety, containment and carrying loads criterion and vehicle specifications were ranked from 1 to 5 respectively. In the course professional driving skills, roads help and rescue, principles of safe driving, defensive driving skills, driving in special conditions, per-travel measures and driving primary principles were ranked from 1 to 6 respectively. In the course of vehicle specification titles of new systems and technologies, repair and maintenance skills, material recognizing and details of settings and interior equipment were ranked from 1 to 4. In the course of professional health titles of sleepy and tired feelings effects, drug using effects, professional ethics drivers illness and healthy diet and traveling life skills were ranked from 1 to 5 respectively. In the course of transportation criteria titles of prohibited and violations, regulations criteria, acquaintance of different insurances and importance of them and documents were ranked from 1 to 4 respectively. In the course of containment and carrying loads which is particular for freight drivers, carrying dangerous loads, principles of different loads containment, tools of load containment, size and weight of different loads and connection and disjunction of trailers were ranked from 1 to 5 respectively.Training of professional drivers has been considered widely in the countries, greatly developed in traffic safety. Also in our country, tangible increasing in statistics of road and urban car accidents is observable which led the authorities to set professional courses for drivers. The main purpose of this project is ranking the courses and headings of training professional drivers. Required data were collected as questionnaire sheets, answered by 39 experts and 80 professional drivers about the loading and passenger transportation. At last five training courses (Professional driving skills, Vehicle specification, Occupational health, Road transportation rules and regulation, Criteria of handling and inhibition of different loads) and headings of each course, That is a total 24 headlines, were ranked by FAHP-FTOPSIS hybrid model. Results show that professional driving skills, public transportation criteria, professional health and safety, containment and carrying loads criterion and vehicle specifications were ranked from 1 to 5 respectively. In the course professional driving skills, roads help and rescue, principles of safe driving, defensive driving skills, driving in special conditions, per-travel measures and driving primary principles were ranked from 1 to 6 respectively. In the course of vehicle specification titles of new systems and technologies, repair and maintenance skills, material recognizing and details of settings and interior equipment were ranked from 1 to 4. In the course of professional health titles of sleepy and tired feelings effects, drug using effects, professional ethics drivers illness and healthy diet and traveling life skills were ranked from 1 to 5 respectively. In the course of transportation criteria titles of prohibited and violations, regulations criteria, acquaintance of different insurances and importance of them and documents were ranked from 1 to 4 respectively. In the course of containment and carrying loads which is particular for freight drivers, carrying dangerous loads, principles of different loads containment, tools of load containment, size and weight of different loads and connection and disjunction of trailers were ranked from 1 to 5 respectively.

The main goal of the present study is to provide the basis factor model to determine the optimal capacity of the metro station with the aim of minimizing the incidence of infectious diseases. In this research, the study area, namely Imam Khomeini metro station in Tehran, was investigated. After collecting the information, some indicators affecting the demand and capacity and the statistics obtained in the years before Corona, as well as structural observations during the Corona outbreak, were examined and the information was analyzed. After confirming reliability and validity, factor analysis was evaluated and categorized and prioritized in the conditions of Corona. According to the results of the factor analysis in order to categorize and reduce the variables related to the model for determining the optimal capacity of the Imam Khomeini subway station in the conditions of Covid, the most important of them are, in order: the percentage of employees in the sample per day, the perception of people's access to the subway by taxi, the percentage of the number of car owners, the percentage of commercial and service trips, the average income, the percentage of office trips, and the congestion index on footpaths with respect to social distance are among the seven variables with the most important priority in factor modeling, which are further shown in the proposed regression model. In measuring the optimal capacity of Imam Khomeini metro station, they were measured.

Congestion in the public transportation in Tehran is a convenient problem especially in the pick hours. Transferring in a congested transit vehicle makes passengers feel discomfort during their trips. Another important thing is the idea of time which is a subjective issue which means that passengers experience their travel times differently in a specific time interval. The literature has confirmed this issue, so the idea of “perceived travel time” has been introduced for many years. It implies that a passenger travelling by a congested public transport vehicle feels like the time is passing slower compared to those who are travelling in uncongested vehicles. The idea of perceived travel time has led some researchers to the concept of “perceived travel time reliability”. This paper is aimed at demonstrating the necessity of paying attention to these two concepts for the public transport system in Tehran. For this purpose, the first line of BRT system of Tehran has been considered as a case study. Using Automated Fare Collection (AFC) and Automatic Vehicle Location (AVL) data in a pick hour of a work day back in the autumn of 2019 and before spreading the corona virus, the perceived travel time and perceived travel time reliability are calculated. The results show that there is a significant difference between perceived and nominal. The differences show the necessity of reconsidering the analysis of public transport systems using the nominal travel time and travel time reliability. In fact, it seems that using the perceived will be more helpful

This research intended to obtain a model of factors affecting the formation of general policies for road transportation safety with the help of research conducted in the field of road transportation safety. The type of qualitative research and systematic literature review method. In this regard, 105 articles that had the required validity and quality were deeply examined and based on the open coding method, 350 components were extracted in the form of 114 codes under 27 subcategories (structure) and 6 main categories. The analysis of the findings showed that among these categories, the category of "road safety management" received the most mentions among the reviewed sources, followed by the categories of "safer users" and "safety financial provision". , "Safer road", "Response after an accident", "Safer vehicles" are placed.

The type of land use in each traffic area zone (TAZ) is the most important factor determining the number of vehicles, geometric and traffic characteristics in that zone. Any factor in the urban environment that causes congestion and attraction of vehicles at certain times increases the probability of an accident in that area.In this study, in order to investigate the effect of the share of the types of uses in each of the traffic areas of Shiraz city on the probability of an accident, a two-step method including the identification of the types of uses influencing the occurrence of accidents as well as spatial effects between independent variables and accident data in space Kernel density estimate (KDE) methods have also been used in order to find the suitable bandwidth for searching observations, geographically weighted regression (GWR) and geographically weighted Poisson regression (GWPR) in order to investigate the spatial effects of the contribution of land use types on the occurrence Accident is used .The results of the study have shown that among the mentioned models, the local GWPR model has a better performance than the global Poisson model and the local GWR model based on validation criteria. Also, the presence of residential, commercial, barren and abandoned uses and the mixing of residential and non-residential use have the greatest impact on They have accidents. Examining the spatial effects of land use types in each of the traffic areas in this study can be very important in order to carry out safety measures.

The type of land use in each traffic area zone (TAZ) is the most important factor determining the number of vehicles, geometric and traffic characteristics in that zone. Any factor in the urban environment that causes congestion and attraction of vehicles at certain times increases the probability of an accident in that area. In this study, in order to investigate the effect of the share of the types of uses in each of the traffic areas of Shiraz city on the probability of an accident, a two-step method including the identification of the types of uses influencing the occurrence of accidents as well as spatial effects between independent variables and accident data in space Kernel density estimate (KDE) methods have also been used in order to find the suitable bandwidth for searching observations, geographically weighted regression (GWR) and geographically weighted Poisson regression (GWPR) in order to investigate the spatial effects of the contribution of land use types on the occurrence Accident is used.The results of the study have shown that among the mentioned models, the local GWPR model has a better performance than the global Poisson model and the local GWR model based on validation criteria. Also, the presence of residential, commercial, barren and abandoned uses and the mixing of residential and non-residential use have the greatest impact on They have accidents. Examining the spatial effects of land use types in each of the traffic areas in this study can be very important in order to carry out safety measures.

In traffic engineering, we deal with a coefficient called the coefficient of riding, which is used to convert the traffic of heavy vehicles into "rides." Buses, trucks, trailers and have a coefficient larger than one, and a bicycle and a multiplier of less than one, which is one third in the code of some countries, and one in two (half) in others. In Iran, this coefficient, like other coefficients in different branches of knowledge and technology, is based on external coefficients and regulations of other countries. In this study, the coefficient of motorcycle riding at the intersection of the lamp is calculated, and the criterion delay parameter is the comparison and calculation is. Accordingly, the coefficient of ride equals the delay created per motorbike delayed by each car in the stream involving only a single riding car. In this study, the coefficient of homogeneity for meta-cycles was obtained, with an average coefficient of 0.4. The results of descriptive statistics analysis of these several time-based groups based on vehicle type along with Zamani Kelly's headline have shown that among the mean values of different groups, two riding groups are very close in pursuit of riding and riding in the pursuit of the engine. All groups with a mean time header are larger than other types. In other words, the average riding time range for riding and motorcycle groups is significantly smaller than the average for the other three.

The urban subway network is one of the most vital infrastructures that plays a pivotal role in the sustainable development of cities; therefore, network robustness or maintaining the proper performance in various conditions has great importance. Considering financial and functional limitations, identifying critical nodes is required to prioritize robustness enhance projects. Critical nodes are nodes that their removal deeply affects the connectivity and efficiency of the network. Network robustness and identification of critical nodes in the face of cascading disruptions have been studied, focusing on the network's structural features. On the one hand, cascading disturbances affect several stations simultaneously, which is less likely to occur than concentrated disturbances that affect only one station. On the other hand, focusing on the network structure leads to the loss of dynamic information, resulting in underestimating the length and overestimating the number of paths between network nodes. In this study, the critical nodes in the face of centralized disturbances have been identified using temporal network concepts, which consider both structural and temporal features. The results reveal that Darvazeh-Shemiran, Shadman, Shahid Beheshti, and Mohammadieh Square stations are the critical stations from both efficiency and connectivity points of view. The critical nodes have high values of static and temporal centrality indices, which increase network vulnerability against malicious attacks. In contrast, due to the high ratio of non-critical nodes to critical nodes, the network is robust against random failures. The method developed in this research can be generalized to other transportation networks.

Surrogate safety measure (SSM) plays a key role in early safety evaluation. Previous research has indicated potential associations between SSM and road crashes. Several attempts have been made to develop SSM. Most studies in the field of SSM have only focused on rear-end conflicts in witch the two vehicles move in a just one lane. The principal objective of this paper was to develop a new area-based SSM (ASSM) which can take into account the two-dimensional movement of vehicles. ASSM provides a novel approach to quantifying safety. The two-dimensional hypothetical areas around the vehicle that are required for the safe movement are introduced as the influence area. The mathematical equation of the influence area is derived as a function of vehicle speed, and then ASSM could be calculated by examining the extent of overlap and intersection of the influence areas of different vehicles at any given time. In this study, techniques for ASSM were developed and applied to real-world traffic data (NGSIM). The findings indicated that there was a positive relationship between ASSM and the time of the driver's decision to change his driving position to avoid a collision. The findings can contribute to a better understanding of human driving behavior in critical situation.

 Air pollution is one of the major challenges of urban management in Tehran. Nowadays, the problem of air pollution and traffic congestion in the metropolis of Tehran, like most major cities in the world, is quite concerning. Land use and transportation are two main sectors that have a maximum contribution to environmental pollution.

The impetus of this article is to investigate the urban land use efficiency, the distribution of land use, and their impact on transportation and pollutants. For this purpose, the following question was raised: What has been the impact of urban land-use efficiency and distribution of land use in Tehran on transportation and air pollution over the last two decades?

The present paper is a real-life case study for which data was collected through documentary-library, municipal data, and satellite images. In this study, Landsat satellite images, ENVI 5.3, ArcGIS 10.8, Google Earth Pro, and SPSS 24 were used.

The results of this study indicate the expansion of Tehran, the loss of vegetation,and their transformation into built lands. Over the past two decades, the growth of the built-up area in Tehranhas exceeded the population growth which indicates the inefficiency of the land during this period. In other words, the expansion of the city has been more towards the suburbs with low population density. The study of the correlation between land use types during the period 2004-2016 indicates the scattered growth of Tehran. In such situations, residents use more private cars, which increases traffic congestion, fuel consumption, and air pollution.

The criticality of statistics related to traffic accidents has increased the need for increasing attention and importance of measures to prevent theoccurrence of these crimes. has done. Therefore, the purposeof this study is to designa model for the prevention of driving offenses and violations according to experts.

The research method is developmental in terms of purposeand heuristic in terms of qualitative data type, so content analysis was used. Thestudy population consisted ofexperts and experts in the field of crime prevention and traffic violations and urban traffic management and the statistical sample included 8 people who were selected by snowballmethod anddata collection was done through semi-structured data interviews. Data analysis was performed in "MAXQDA" software..

In analyzing the data obtained from the interview in the form of 5 main categories including criminal prevention and its effects on the application of criminal punishment, improving the functional level of laws and regulations, reducing the target of crime, preventive measures leading to punishment, criminal and non-criminal prevention in The reduction of traffic violations as well as the relationship between criminal prevention and execution of punishments were presented, each of which included several dimensions and indicators that provided actions, legislation, policies, and performance guarantees in the form of 32 cases.

Traffic and driving should move towards a preventive culture building by any means possible and lead people to take joint actions and will be achieved by creating and strengthening organizational participation and judicial systems and flexibility and organizational mission..

Existence research for to evaluate the effectiveness of a series of Countermeasures in reduction crashes on the Malayer-Jokar axis in Hamadan province. In this axis, in 2015, a series of Countermeasures have been implemented during three months. To determine the effectiveness of the set of Countermeasures, Crashes data were used 19 months before and 19 months after the implementation of these Countermeasures. Due to its high efficiency in estimating the expected accidents without implementing Countermeasures and also eliminating the phenomenon of regression, the business method was used to average. The high accuracy of this method is due to the use of safety performance function (SPF) in order to logically estimate the frequency of crashes in the period before the Countermeasures. A crash prediction model was used using AASHTO (2010). Using this tool and predicting crashes before and after the implementation of Countermeasures, as well as the calculation of the expected number of crashes in the before and after periods, the effectiveness of safety was calculated. The results showed that the combination of these Countermeasures reduced the crashes by 4 percent. Although the significant assessment of this value showed that it is not significant at the 90 percent confidence level, the result is still valid, and this small amount of accident reduction, as the type of collisions observed in the after period has shown, is most likely due to the fact that Some Countermeasures have led to a reduction in certain types of crashes and an increase in other specific types.

Congestion is one of the problems that has bothered many countries in recent decades and has imposed huge costs on many countries. For this reason, many researchers are looking for ways to reduce congestion in transportation networks. On the other hand, it is predicted that the emergence of Automated Vehicles and Connected and Automated Vehicles can be effective in reducing congestion on the roads and increasing the capacity of the roads. For this reason, this study investigates the effect of Automated Vehicles and Connected and Automated Vehicles on the capacity of roads. In this study, a freeway network with the Merge section is used and the simulations are implemented using SUMO microscopic simulator software. In this study, to determine the driving behavior, the car following model for longitudinal movements and the lane changing model for lateral movements have been used. The Krauss car-following model and the LC2013 lane-changing model were used to determine driving behavior in this study. The simulation results show that Automated Vehicles can increase road capacity by up to 52% and Connected and Automated Vehicles can increase road capacity by up to 65%, which indicates the potential of these vehicles to increase capacity and reduce congestion. The results also show that these vehicles can have a significant impact on capacity when the presence of these vehicles on the road is significant.

In this research, researchers are looking to prioritize countermeasures in one of the important intersections of Darrehshahr city. The four countermeasures including installing a traffic signal, installing a speed hump in the minor approach, drawing a stop line in the minor approach +sign and creating a rumble stripe in the major and minor approach for this intersection are considered. The research method is the economic evaluation method in HSM. In the economic evaluation of countermeasures, the costs of fatal crashes, injuries and damages for the year 1399 have been calculated. Also, the expected crashes before and after the implementation of the countermeasures and the reduction in the frequency and severity of the crashes caused by the implementation of the countermeasures have been estimated. By calculating the annual benefits of crashes reduction and calculating the current value of benefits, assuming a 3 percent discount rate and a service life of 10 years for countermeasures, cost-benefit analysis and cost-effectiveness of countermeasures have been performed. The results show that according to the Benefit-Cost Ratio method, the stop line in the minor approach +sign, the creation of the rumble stripe in the major and minor approach, the installation of the speed hump in the minor approach and the installation of the traffic signal have priority, respectively. Also, for every million Rials spent on the implementation of the stop line in the minor approach +sign, the ratio of benefit to cost during the 10-year lifespan is 396508.5 to 1.

In this study, in order to identify vulnerable links, the performance of the network due to the obstruction of each link is evaluated by considering the simultaneous effects of supply and demand and assuming that drivers are aware of the obstruction status during the trip. Accordingly, by considering a specific routing pattern by users, the performance of the network is evaluated in the case of blockage of that link, and links whose removal does not lead to unacceptable changes in the network versus non-blocking, are considered as reliable links. In the following, it was implemented in the Tehran network based on 0.35 percent as acceptable changes. This value is equal to the minimum value of acceptable performance changes which makes it possible to access all points to evacuation destinations using the remaining reliable links. The basis for access will also be the possibility of creating an access tree. According to the evaluation of network performance due to the blocking of each link in EMME2 software and its comparison with the acceptable limit, 17.3% of the links of Tehran network will be unreliable links as a result of a possible earthquake. The most unreliable links of the network are observed in arterial roads, especially in the CBD. Therefore, although the removal of vulnerable links with arterial type can increase the reliability of the evacuation network by other existing links in terms of continuity and travel time, but this is due to the role and importance of this road type in network integrity and network efficiency, will lead to disruption of the network evacuation capacity. It makes necessary to development of parts of the network in the form of widening or adding links to the network in order to provide the required evacuation capacity. Obviously, if this is not possible or it is costly, especially in areas with dense texture, solutions such as retrofitting buildings as much as possible can be put on the agenda to reduce the demand for evacuation.

Lack of an appropriate local model of management, both criminal and non-criminal of crime and traffic violations for commanders and managers of urban traffic and traffic managers of the Islamic Republic of Iran, is one of the most important issues facing them in carrying out important prevention mission in driving violations and offenses in the current situation. Therefore, the purpose of this study is to design a model for the prevention of driving offenses.

This research is applied-developmental in terms of purpose and descriptive-survey in terms of quantitative methods of data collection. The statistical population includes traffic police officers in Tehran, as well as drivers who violated the law in the investigation period. Simple random sampling and statistical sample included 264 and 277 drivers and traffic police officers, respectively. Data were collected using a researcher-made questionnaire and data were analyzed using SPSS and Smart PLS statistical software.

It showed that at the level of 0.95, there is a relatively strong relationship between the variables with the pattern of crime prevention and driving violations, which has the highest effect of prevention related to the prevention of circuit growth with 63.8 (strong relationship), criminal prevention with 42 (Strong relationship), social prevention with a value of 38.1 (moderate relationship) and finally the lowest value related to situational prevention with a value of 16.5 (weak relationship) compared to the pattern of prevention of crimes and driving violations. Also, the factor loads of developmental prevention are equal to 0.789, criminal prevention is equal to 0.648, social prevention is equal to 0.617 and finally situational prevention is equal to 40.6 which are more than 0.4 which is at the level of 0.95. It is meaningful.

Finally, 4 variables, 14 components and 104 indicators including growth-oriented prevention variables including family-oriented programs, school-based programs, for social prevention variables including social constraints, risk management, awareness, program Community-based and specialized police training, for the situation prevention variable including patrolling, intangible control, use of cameras and intelligent systems for recording violations, and finally for the criminal prevention variable components of punishment certainty, certainty of punishments and The severity of the punishments.