Teaching Areas

[ Teaching Interests  | Classes Taught | Doctoral Dissertation Advising ]

Teaching Interests

Optimization methods (static and dynamic), decision theory and analysis, statistical techniques, energy and public utilities policy and modeling.

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Classes Taught

C&RP 720

INTRODUCTION TO ANALYSIS OF ENERGY FACTORS IN CITY AND REGIONAL PLANNING

Covers the resource, technological, environmental, economic, and institutional dimensions of the production and use of coal, natural gas, electricity, and solar and other renewable forms of energy, the environmental impacts of energy production and consumption, and the role of energy conservation. Non-quantitative course.

C&RP 721

SEMINAR ON MATHEMATICAL MODELS OF ENERGY MANAGEMENT AND PLANNING

Mathematical models for coal and electricity production and transport, energy storage and curtailment, solar energy and site planning, energy/environment interactions (air pollution, global warming), and comprehensive urban and regional energy planning. Computer exercises with the software GAMS.

C&RP 762

URBAN PLANNING DATA AND FORECASTING

Sources and quality of socio-economic information, data handling and processing, population forecasting methods, economic projections and impact analyses, land-use forecasting and allocation.

C&RP 821

REGIONAL PLANNING STUDIO

Application of economic and environmental analysis to regional development projects. Past projects include the impacts of the Clean Air Act Amendments of 1990 on Ohio's electric companies, coal mining districts, and the economy of the state as a whole.

C&RP 834

DECISION ANALYSIS IN URBAN PLANNING

Applications of decision theory, game theory, multicriteria analysis, and multi-objective programming, to location, land-use, and environmental problems.

C&RP 870.01

STATIC OPTIMIZATION IN PLANNING

Principles and applications of mathematical programming techniques to solve planning problems. Covers linear, nonlinear, and mixed-integer programming. Applications to land use allocation, energy planning, environmental management, facilities siting, and transportation. Computers exercises with the software GAMS.

C&RP 870.02

DYNAMIC OPTIMIZATION IN PLANNING

Principles of the calculus of variations, the maximum principle, and dynamic programming. Applications to optimum economic growth and land-use allocation.

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Doctoral Dissertation Advising

  1. Sadoun, Balqies I., 1992. A Modeling Methodology for Energy-Conserving Site Design.

  2. Hegazy, Youssef, 1993. Reliability-based Pricing of Electricity Service.

  3. Kim, WoonSoo, 1995. Combined Transportation Network Optimization and Spatial Allocation of Pollution Emissions.

  4. Wang, Fahui, 1995. Spatial Equilibrium Models of Systems of Cities with Interurban Transportation Costs.

  5. Shen, Yung-Tang, 1996. Studies in Fuel Supply and Air Quality Planning by Electric Utilities.

  6. Shen, Guoqiang, 1998. Hub Location and Network Design: Model Formulation and Numerical Analyses.

  7. Kim, Hag-Yeol, 1999. GIS-Based Statistical Models of Urban and Regional Air Quality: The Cases of Ozone and Carbon Monoxide

  8. Celik, H. Murat, 2001. Spatial Interaction Modeling of Interregional Commodity Flows.

  9. Kucuknehmetoglu, Mehmet, 2002. Water Resources Allocation and Conflicts: The Case of the
    Euphrates and the Tigris.

  10. Cubukcu, Mert K., 2003. Geography and the Cost of Network Infrastructure: The Case of Local
    Telephone Systems    .

  11. Shen, Kang-Ping, 2003. Airshed-Based Statistical Mode ling of the Spatial Distribution of Air
    Pollution: The Case of Sulfur Dioxide.

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