Demographic and Efficiency Analysis of Street Transportation Network in Districts of Tehran Metropolitan

Document Type : Original Article


1 PhD Candidate, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

3 Assistant Professor, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

4 Assistant Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran


The aim of achieving accessibility in a transportation system is to enhance the efficiency of travel by reducing the distance between the origin and destination of a trip, thereby ensuring a satisfactory travel experience. Typically, transportation system performance is evaluated based on speed and the distance covered during a trip. This study focuses on investigating the population changes in districts over the past decade, analyzing population density, and assessing the accessibility of the interregional transport network in Tehran. To conduct this study, data from Tehran Municipality and the Statistics Center were utilized. ArcGIS 10.8 software facilitated mapping the study area and classifying population density in different districts, while Google Earth Pro software was employed to determine both real and ideal distances between urban districts. The analysis revealed that, based on the population forecast for 2021, approximately 67% of the population resides in Tehran's suburbs. District 4, situated in the northeastern margin of Tehran, boasts the highest population percentage at 10.57%. An examination of the population density index in 2021 indicated that suburban districts exhibit significantly lower population density compared to central districts. Accessibility analysis between districts was conducted using the route factor index, and the results showed that 38% of internal communications between districts have good to very good accessibility levels, 32% exhibit average accessibility levels, and 30% are categorized as having low to very poor accessibility levels. The average route factor for Tehran city was estimated at 1.52, classifying Tehran as having average accessibility levels. These findings can provide valuable insights for city managers, aiding them in making informed decisions regarding transportation investments, considering both population data and the infrastructure of the urban transportation network.


Volume 7, Issue 1
January 2024
Pages 20-28
  • Receive Date: 04 January 2024
  • Revise Date: 17 February 2024
  • Accept Date: 06 March 2024