Presenting the optimal model of Tehran urban transportation with emphasis on localized clean energy

Authors

1 Department of Geography, Central Tehran Branch, Islamic Azad University, Tehran, Iran

2 Associate Professor, Department of Geography and Urban Planning, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

3 Associate Professor of Geography and Urban Planning, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Abstract

Today, transportation is associated with all aspects of life in cities. Having a sustainable approach in this basin requires coordination between human activities with a vibrant environment and pollution-free along with supporting dynamism and economic justice along with vitality and social justice, which are the main dimensions of sustainable development. The purpose of this article is to present the optimal model of urban transportation in Tehran with emphasis on clean localized energy. In this research, SPSS and GIS software will be used to analyze the information in testing hypotheses. In other words, because the research is qualitative, to analyze it, first quality is converted into quantity using a questionnaire and non-parametric statistics analysis in SPSS environment and its visual expression in GIS environment. In this study, in order to find clean fuel and localize it according to the situation of Tehran metropolis and the country, first 5 car fuels consumed in Iran, including: gasoline; Gasoline, compressed gas, liquefied petroleum gas and electricity from 5 different directions analyzed by 40 experts using AHP hierarchical analysis process method and in Expert Choice software. Finally, according to the 5 factors raised, experts have been asked to introduce the final fuel with the lowest pollution and the highest production in the country; The results were tested in the form of a 5-point Likert spectrum using t-test that compressed gas (CNG) fuel is introduced as the most suitable fuel that has a high localization capability in Tehran and the country.

Keywords


20.1001.1.22286462.1401.12.2.15.2