فصلنامه مطالعات امنیت اجتماعی
سال سوم شماره 2 (پیاپی 30، تابستان 1391)

The present article descriptively reviews four dimensions of societal security in Sabzevar through survey method. These dimensions are physical security feeling, financial security feeling, Social reputation, feeling secure in urban places. Afterwards, the article reviews the relationship between societal security on one hand and some social, economic and demography factors such as societal trust, societal justice, and socioeconomic base, age, gender, place of birth, marital status, and immigration. The results of the survey indicate that the respondents feel fully secure, and rank the other aspects such as social and financial reputation and feeling secure in the urban places after it. In addition, it indicates that there is meaningful relationship between variables of gender, place of birth, education, social justice feeling and societal trust; and societal security. That is to say, men, those born in villages, people with lower education, those who feel more social justice and those who have more social trust, have a higher level of social security feeling. The results of the multivariable regression indicates that two variables – social justice feeling and general trust have entered the model respectively ,and express 17% of the changes of the dependent variable. Hence, it can be deducted that social security is not a hardware phenomenon merely provided by a controller force; however, software variables form the main context in which social security is formed.

Chief among the issues and problems that nowadays has jeopardized public comfort is increasing the rate of driving-related crimes. This present research aims at predicting driving behavior based on personality characteristics and sensation seeking.

Population of this study included all drivers in Ardebil city. In this study, 160 motorcycle, heavy vehicles and Nissan drivers were selected through the available sampling method. Manchester driver behavior questionnaire, NEO Personality Inventory and Zuckerman excitement questionnaire, used for collecting information. Multiple regression analysis and Pearson correlation used for analyzing the data.

The findings indicated that there is meaningful correlation between age and number of accidents and driving behavior (errors, mistakes, intentional violations and unintentional violations).The relationship between extraversion and openness to experience with driving behavior did not come significant. The average rate of motorcyclists' intentional violations was more than others.

Generally speaking, it can be concluded that driving behavior is influenced by personality characteristics and sensation seeking; therefore, psychological interventions on the individuals that frequently involve in driving violations, is essential.