Siting of obnoxious facilities in the city of austin
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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

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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


Objectives contd

Objectives (contd.)


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


Street network

Street Network


Arcgis steps

ArcGIS Steps


Buffer analysis

Buffer Analysis


Buffer analysis contd

Buffer Analysis (contd.)


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

ő≥j = plant capacity at site j

ej = population exposed to transportation nuisance at site j

E = global nuisance indicator


Simplifying the problem

Simplifying the Problem


The transportation matrix

The Transportation Matrix


Optimizing in solver

Optimizing in Solver


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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