Modeling Spatial Relationships between Multimedia Transportation Infrastructure and Traffic Safety Results in Urban Environments

In urban environments where multimedia transportation thrives, the relationship between the availability of multimedia transportation and traffic safety is complex. The relationship between access to multimedia transportation and traffic safety in the urban environment is complex, as the vulnerability of vehicle drivers becomes a dominant risk factor during crashes, even at lower vehicle speeds. The aim of the current research was to model spatial relationships between multimedia transportation infrastructures and traffic safety results in urban environments (District 9 of Tehran). The current research is applied in terms of purpose and descriptive-survey in terms of method. The statistical population of this research is people living in the 9th district of Tehran. To select the sample size using Morgan's table, 260 people were selected by simple random sampling. The data collection tool is a combination of library and field methods. In order to conduct the research and test the hypotheses, descriptive statistics were first used to obtain demographic information from the statistical sample, then correlation tests such as Pearson's correlation coefficient and regression tests were used using SPSS software. The results showed that the coefficient of street network patterns (0.24) and traffic safety results (0.58) are positive, indicating their direct impact on urban environments. These effects are also statistically significant (α=0.05). And the coefficient of marine facilities (0.44) is positive, indicating its direct impact on urban environments. This effect is also statistically significant (α=0.05).