Predicting the Generated Traffic From Urban Land Uses (Case Study :Neyshabur City)

The purpose of this study is to determine the contribution of various factors to predict the amount of traffic generated by urban users in the central part of Neyshabur city. For this purpose, a descriptive and analytical research method has been used in the form of correlations of the predictor type. A researcher-made questionnaire was used to collect the required data. For the impact of changes related to each urban user, firstly, experts and managers related to traffic were questioned.in order to compare these results, field data was also collected. The sample was 60 people in the Morgan table. The subjects were divided into two equal groups of 30 people for the staff working in the urban management body and other people. The collected data were analyzed using SPSS software, descriptive and inferential statistics such as Chi-square and multivariate regression analysis. The results showed that among all the factors studied (number of employees per user, location, density and type of function), only the number of employees per user (the number of permanent and temporary directors and employees against the other components of each user and Or performance) can predict the amount of traffic generated by each user (urban performance) (P = 0.000). But adding any of the variables of the location, density and type of performance to the number of employees can not significantly increase the predictive power of traffic generation.