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Data-driven Technologies in Dynamic Regulation; Case of Tehran Municipality for Effective Car Taxation

Sharifi Hashjin, Fahimeh | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54675 (44)
  4. University: Sharif University of Technology
  5. Department: Management and Economics
  6. Advisor(s): Mirnezami, Reza
  7. Abstract:
  8. The common experience of the citizens in metropolitan areas is facing a large volume of private car traffic. Accordingly, the discussion of managing the demand for intra-city travel by private cars has become widespread. Factors influencing the demand and decision of citizens to travel by car, like the demand for any other product, are divided into several groups, including commodity price, related goods price, income, and advertisement. One of the most critical and generalized variables that affect the final price of goods and subsequently affects demand is the costs incurred in the decision and demand for goods. The demand for trips with private cars is associated with the following two categories of costs: (1) The costs paid directly by the owner and the applicant for using a private car, such as the cost of depreciation of a private car and fuel; and (2) the implicit costs include air pollution, noise pollution, aggravating diseases from pollutants, occupancy level in traffic and marginal parks, possible accidents, traffic police services, depreciation of roads and highways, and other public costs.With a free-market mechanism, the price of receiving the services required to use a private car is defined in the balance of supply and demand, although a minimum government's regulatory role needs to be considered. However, in the second category of costs, the government secures the public interest. National and local governments define their interventions to reduce external traffic and environmental costs and maximize public benefits.We conduct applied research for modeling demand management to propose a more efficient implicit/explicit cost calculation. In order to achieve applied goals, the study firstly provides a big picture of what national and local governments do in the case of Tehran. Secondly, to manage the second category of costs and increase the effectiveness of the ongoing intervention, the research provides some policy suggestions. Specifically, the collection of annual vehicle tolls in Tehran is discussed in order to explain the intervention and identify the possibilities of increasing effectiveness through data-driven technologies
  9. Keywords:
  10. Big Data ; Automobile Taxation ; Public Interest ; Dynamic Regulation ; Data-Driven Technologies ; Demand Management

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