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Siting of Obnoxious Facilities in the City of Austin

Siting of Obnoxious Facilities in the City of Austin. Jayanthi Rajamani Fall 2002 University of Texas at Austin. Project Objectives. Identify a decision problem where a GIS-based decision support system may be useful Use GIS operations to transform raw data into meaningful information

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Siting of Obnoxious Facilities in the City of Austin

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  1. Siting of Obnoxious Facilities in the City of Austin Jayanthi Rajamani Fall 2002 University of Texas at Austin

  2. Project Objectives • Identify a decision problem where a GIS-based decision support system may be useful • Use GIS operations to transform raw data into meaningful information • Design and implement a multi-criterion decision analysis scheme

  3. Objectives (contd.)

  4. Decision Problem Locating/siting an incinerator facility A municipal waste incinerator must be built in the city of Austin, composed of several areas. Objectives and Constraints: Dimensions Location subject to minimum operating cost Minimum nuisance due to transportation and air pollution

  5. Why GIS? • Locateseveral possible sites • Study the population distribution pattern • Analyze noise nuisance by informing us of proximity of roads with residential areas

  6. Background • Municipal Solid waste is non-toxic waste generated by households, commercial establishments, etc. - food and yard wastes - durable and nondurable - packaging material Waste Medical Municipal Hazardous

  7. Maps! Maps! Maps! + + Austin Zipcodes Land Use Public Parcels + + + Industrial Parks and Facilities Housing

  8. Street Network

  9. ArcGIS Steps

  10. Buffer Analysis

  11. Buffer Analysis (contd.)

  12. The Optimization Problem Cij = unit transportation cost from zip code i to incinerator site j xij = tonnage of waste transported from zip code i to site j Fj = investment cost for site j yj = {0 if site j is not selected 1 if site j is selected} vi = waste generated by zip code i γj = plant capacity at site j ej = population exposed to transportation nuisance at site j E = global nuisance indicator

  13. Simplifying the Problem

  14. The Transportation Matrix

  15. Optimizing in Solver

  16. Results Nuisance and Cost are conflicting criteria We have computed trade-offs between the two criteria to find efficient compromise solutions

  17. Results (contd.) • As the Nuisance Index reduces, the cost of installation and transportation of waste rises • As the Nuisance Index is decreased, the number of plants to be installed increases to better distribute the traffic in sensitive areas

  18. Limitations Neglected criteria Proximity to airports, floodplains, active geologic faults Depth to groundwater Possible impacts on wildlife Political and Social Acceptance

  19. Future Work Investment Economy Transportation Site Selection NOX Exposure Environment Transportation Nuisance Social Acceptance Neighborhood

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