Selected Descriptive and Exploratory Data Analysis Projects:

The Implicit Private Cost of Fuel Efficiency: How Expensive Would Gasoline Need to Be to Induce Consumers to Drive More Fuel-Efficient Cars? Santa Monica, CA, RAND Corporation. In this policy analysis study, Dr. Amiri used a hedonic pricing approach to investigate the implicit private cost of improving vehicle fuel efficiencies through reducing other desired attributes such as weight (that is valued for its perceived effect on personal safety) and horsepower. She also calculated breakeven gasoline prices that would justify the estimated implicit costs. The study found that to justify higher fuel efficiency standards from a consumer perspective, either the external benefits need to be very large or technological advances will need to greatly reduce fuel efficiency costs. Read more.

Relevant features: energy and environmental policy analysis, policy research, descriptive and exploratory data analysis, break-even analysis, sustainability
Quantifying Well-Being Values of Environmental Flows for Equitable Decision-Making: A case study of the Hamoun wetlands in Iran, K.S. Meijer and Haji Amiri S., 2007, International Journal of River Basin Management. Construction of dams and reservoirs affects various groups of people. People who are often the losers from construction and operation of dams are the users of downstream ecosystems. To consider the needs of these people in water resources decision‐making, the relationships among water, ecosystem and human well‐being need to be assessed. This should lead to quantified criteria scores to support the decision‐maker. Current environmental flow assessment methods focus on the relationship between water and ecosystems, but leave a gap where quantifiable criteria on human well‐being are concerned. This paper discusses an approach for quantifying the effect of changed flow regimes on human well‐being in an Integrated Water Resources Management study in Iran. The study shows the different effects on different groups of people, and in this way contributes to the consideration of social equity in decision‐making in Integrated Water Resources Management. Read more. 

Relevant features: integrated water resources management, field-researched case study, primary data collection and analysis
Riverside Transit Agency (RTA), ADA Demand Forecasting, Riverside, CA.As a member of HDR|Decision Economics team, Dr. Amiri conducted statistical analysis and forecasting of paratransit ridership demand over fiscal years 2012-2017 to assist RTA with its short and medium-term service and operational costs planning.
Relevant features: descriptive and exploratory data analysis