A Prediction Model for Incidences in Fractions of Barred Stop Kind in Path Ways of City Central Nucleus and Country

The aim of the present research is to develop a prediction model for incidences IN fractions of barred stop kind in path ways of city central Nucleus and country with case study in cuter of Bojnourd city and survey of constituent factors in occurrence In fraction of Illicit stop. Inter center methods in traffic peak time and cultural and social level of citizens in occurrence of barred stop incidence uses of surrey method and kind of research is quantity and practical Methods and is with use of questioner. Statistic so city in this research are two cases: All of experts police of guidance and Drivers Bojnourd That are 43 experts and Second Society are All of Drivers Bojnourd city that between them, 384 individual is selected to as exemplary. In this study for analysis of information uses of two Deduction and descriptive me Thuds. Results of research shows that basic variable of research that include cultural and social level of citizens, effect control and inhibiter in traffic peak time, Variable existence terrific Management in Pathways level and existence of balance between offer and request of parking are effective in incidence and in fraction of Inhibited stop totally. Multi correlation coefficient. Was R=0/573 that indicating high correlation between independent and Dependent variables. Appointment coefficient in this Model is 0/328 that it shows 32/8% percent of Dependent variable inhibited stop of infraction is determined by independent variables present in Model and reminder has determined by other independent variables that in this Model they weren’t introduce.