Document Type : Original Article
Authors
1
Department of Industrial Management
2
computer department, software orientation, Tabarestan University, Chalus, Iran
3
PhD Student of Systems Management, Faculty of Management and Strategic Planning, Imam Hussein University, Tehran, Iran
10.22034/tri.2024.425444.3203
Abstract
Traffic is a system of human activities. This phenomenon has various subsystems. These subsystems must be taken into consideration for the appropriateness of the development of improving changes and the creation of optimal mechanisms. Therefore, the aim of this article is to provide a model of the structuring of factors affecting traffic management using the combined approach of soft systems methodology and structural-interpretive analysis. Sampling was done by snowball method from 50 people who have experienced at least 4 years in the executive-operational position in the transportation and traffic department of the provincial capitals or are currently active in this field. The data were collected through the understanding and interpretation of the researchers after reviewing the existing literature in the form of documents, documents and interviews with experts, which represents a qualitative-quantitative research with a research approach in soft operations. Using the SSM method, engineering, educational and managerial-executive factors were identified. Then, using the interpretive structure model method, these factors were leveled and their effectiveness categorized. The findings indicate that the factors in the first level, which is the most effective level, are education, executive management, engineering, university, intellectual development centers; in the second level, schools, informal social circles, family, environment, municipality; In the third level, the national media, policemen, rulers; in the fourth level, knowledge-based companies and entrepreneurs, legislators, governments, and in the fifth level, as the most influential level, the Civil and Urban Development Department, the police complex. Also, the analysis of MICMAC shows that It is that all the factors except management-executive which is in the dependent variable area, other factors are in the linked variables area.
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