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Waste Transfer Station Project

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Including/removing open spaces. How buffer intersections are handled ... What are spatial distributions of income classes city-wide versus close to transfer stations? ... – PowerPoint PPT presentation

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Title: Waste Transfer Station Project


1
Waste Transfer Station Project
  • Geographic Modeling and Problem Solving

2/23/2009
2
Problem Statement
  • The New York City DEP is interested in measuring
    the environmental equity (vis a vi economic
    class) of the siting of waste transfer stations
    in New York City.
  • Is one particular income classe bearing the
    greatest burden of the impact of waste transfer
    stations?

3
Modeling steps
  • Statement of the Objectives and Problems
  • Conditions and Assumptions
  • Methodology
  • Data sets
  • Spatial operations
  • Non-spatial operations
  • Implementation
  • Evaluation / Calibration, adjust and iterate
    again from step 2.
  • http//www.geography.hunter.cuny.edu/7Eyllik/gis2
    /lectures/lecture3/lecture3.html

4
Sample methodology
5
Exploratory analysis
  • Income
  • distribution

6
Exploratory analysis
  • Distribution
  • of Households

7
Sensitivity analysis
  • What is the relative importance of
  • Buffer size
  • Including/removing open spaces
  • How buffer intersections are handled
  • Whether the effects of proximity are cumulative
  • Whether households are counted multiple times
  • Census tracts versus block groups
  • Income class breaks what is high- versus
    middle- versus low-income?
  • How the affects of different kinds of waste are
    weighted

8
Sensitivity analysis
  • Other issues
  • Make buffer size depend on transfer station size?
  • How about directional effects of prevailing
    winds?
  • How is fairness defined?
  • What are spatial distributions of income classes
    city-wide versus close to transfer stations?
  • What would income distribution be if transfer
    stations were randomly distributed?

9
Example 1 buffer overlap
  • Areas within buffer of 8 or more transfer
    stations

10
Example 1 buffer overlap
  • Number of overlapping buffers compared to
    difference between income group percentage within
    buffer and within all of Brooklyn

11
Example 2 random locations
  • Compare actual to monte-carlo spatial
    distributions

12
Example 2 random locations
13
Existing research
  • For example
  • Maantay, J. Asthma and air pollution in the
    Bronx Methodological and data considerations in
    using GIS for environmental justice and health
    research. Health Place, Volume 13, Issue 1,
    March 2007, Pages 32-56.
  • http//www.lehman.cuny.edu/deannss/geography/tri_f
    acilities.htm
  • http//www.lehman.cuny.edu/deannss/geography/race_
    and_waste_adjusted.htm
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