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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

Siting of Obnoxious Facilities in the City of Austin

Jayanthi Rajamani

Fall 2002

University of Texas at Austin

project objectives
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
decision problem

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

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

maps maps maps
Maps! Maps! Maps!

+

+

Austin Zipcodes

Land Use

Public Parcels

+

+

+

Industrial

Parks and Facilities

Housing

the optimization problem
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

results
Results

Nuisance and Cost are conflicting criteria

We have computed trade-offs between the two criteria to find efficient compromise solutions

results contd
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
limitations
Limitations

Neglected criteria

Proximity to airports, floodplains, active geologic faults

Depth to groundwater

Possible impacts on wildlife

Political and Social Acceptance

future work
Future Work

Investment

Economy

Transportation

Site Selection

NOX Exposure

Environment

Transportation Nuisance

Social Acceptance

Neighborhood

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