چكيده به لاتين
With the growing population of metropolitan areas and the development of transportation systems, most large cities worldwide face challenges such as traffic congestion, inadequate transportation infrastructure, and environmental pollution like air and noise pollution. The city of Tehran, as the capital of Iran, is no exception. On the other hand, in recent years, the use of big data in transportation studies has become a highly suitable tool for analyzing people's travel behavior. Mobile phone data can serve as a good indicator of the volume of movement and floating population in the city. These data can provide estimates of the present population in different traffic zones at various times of the day. Additionally, considering the possibility of estimating pollutant levels in urban areas, it is possible to assess air pollution risk based on the population exposed to each pollution level. Thus, the impacts of various air pollution mitigation measures, such as implementing traffic restrictions, can be evaluated at the city level. In this research, using mobile phone data, the floating population was estimated on a daily and hourly basis during the first two weeks of January 2023 within traffic zones. Furthermore, to estimate the level of pollution in Tehran, air pollution data for two pollutants, CO and PM2.5, were used. These two pollutants were interpolated across the entire city using the IDW and Kriging methods. After calculating the population and pollution levels in Tehran for each traffic zone, the pollution risk for different hours and days was calculated. The results indicate that the estimated pollution risk using mobile phone data at the macro level shows acceptable outcomes compared to census data. Given that the population changes at different hours depending on individuals' travel purposes across the city, using this data also provides more precise statistics for managers and decision-makers in micro-level analyses.
