Methodology explanation for providing an appropriate structure to increase the sustainability quality of urban transportation network in metropolitan areas using the AHP technique

Document Type : Case Study


Department of Architecture and Urban Planning, Payame-Noor University, Tehran, Iran.


 Sustainable transportation management considers the effects of transportation development on economic efficiency, environmental issues, energy consumption, and social justice and aims to reduce environmental impact, increase the efficiency of the transportation system, increase access, and Improving the social life of the people. Therefore, in the field of indicators of energy consumption, environmental pollution, access, traffic, health, and social vitality and income as indicators of sustainable urban transportation and technical  studies  of  urban  transportation,  observing  the  principles  and  rules  Driving,  using  the  right  and standard fuel, increasing safety and health, and making more use of technology are considered as strategies to achieve sustainable transportation. The purpose of this study is to identify the factors and strategies for implementing sustainable transportation in the metropolis of Tehran. Methodology of the research is applied in  terms  of  purpose  and  their  prioritization  has  been  done  using  the  descriptive-analytical  method; After categorizing the effective factors and solutions into 7 main groups and 34 sub-groups, 30 experts related to urban issues were collected using a questionnaire and prioritized using the AHP hierarchical analysis method. The results show that because in most cases urban transport planning issues are such that decision elements have feedback and interdependence, the network analysis process can have many applications in this field. Have. Conclusion: The most effective policies in the field of ensuring the stability of transportation networks are: First - technical studies of urban transportation, second - increasing safety and health. According to the sensitivity analysis, the variables of accessibility, energy consumption, and social vitality have the greatest impact on the final ranking of options.