| |
| Page
5
|
| SUMMARIES
OF RECENTLY COMPLETED EPP DOCTORAL THESIS
|
Daniel
Teitelbaum, Technology, Change and Pollution Control:
An Adaptive Agent-Based Analysis
Committee:
Rob Axtell (Brookings), Kathleen Carley (SDS/EPP), Hadi
Dowlatabadi chair (EPP), Richard Florida (Heinz) and
Granger Morgan (EPP/ECE/Heinz)
Many theoretical
models of innovation at the firm and industry level have
been proposed. Due to limitations in computational complexity,
nearly all have assumed a single firm type. Very few have
systematically investigated the implications of markets
with a variety of firm types. With increases in computing
power and the advent of agent-based modeling, interactions
between agent types can now be explored. In this thesis,
a computational model of innovative firms in competitive
markets is presented. Firms devote resources to R&D which
can lead to new, improved products allowing firms to steal
market share from their competitors. Two types of firms,
differentiated by the strategies they use in pursuing
new innovations, are allowed to coexist. One type pursues
exclusively radical innovations, while the other pursues
exclusively incremental innovations. Under certain conditions,
a synergy exists between firms of different types which
allows heterogeneous populations of firms to earn more
than homogeneous ones. Firms capable of making optimal
decisions are examined.
Pollution
and a government which monitors, taxes and limits pollution
are added. Model results agree qualitatively with results
from the literature on the economics of pollution control.
Government controls pollution more effectively when firms
are given time to prepare for the onset of pollution regulations
rather than being surprised by them. It is demonstrated
that the effects of pollution controls can vary widely
across firm types.
Work supported
by the National Science Foundation through graduate research
fellowship grants CTR #SBR-9521914 and MMIA #SBR-9711498.
|
|
Donna
M. Riley, Human Factors in Exposure Analysis for Consumer
Paint-Stripper Use
Committee:
Paul Fischbeck (SDS/EPP), Baruch Fischhoff - co-chair (SDS/EPP),
Mitchell Small - co-chair (CEE/EPP), and Michael Wogalter
(North Carolina State Univ.)
This dissertation
develops a risk-communication assessment methodology that
integrates consumer beliefs and behavior with quantitative
exposure analysis.
The characterization
of risks related to paint stripping requires an understanding
of the time-activity and product-use patterns of consumers,
as well as quantitative exposure modeling based on those
estimates. A quantitative indoor air-quality model was developed
for characterizing methylene chloride exposure during home
paint-stripper use, with certain parameters supplied by
consumers themselves. Mental models interviews were conducted
with consumers in order to gather information about their
understanding of the paint-stripping process and its risks,
as well as detailed data on time-activity patterns for use
in the quantitative model.
The integration
of behavioral and physical data is used to assess the effectiveness
of different precautionary behaviors, predicting the amount
of exposure reduction expected from the implementation of
each. The model can be used to prioritize information for
label design, based on what consumers need to know as well
as what they already know. The model can also be used to
predict exposure for people acting on information provided
to them in existing communications, after making some assumptions
about how that information is likely to be understood and
translated into behavior.
Assessing
the potential impact of these exposure-reduction strategies
highlights the promises and limitations of consumer information
as an alternative to regulation.
Work supported
by the Center for Emissions Control and through a Dolores
Zohrab Liebmann Fellowship.
|
| James
N. Follin, Environmental Risks, Decision Making, and Public
Perception: A Case Study Involving Environmental Impact
Statements
Committee:
Christopher Brussalis (Hill Group), Donald Connors (Westinghouse),
Mike DeKay (EPP/Heinz), Paul Fischbeck - chair (SDS/EPP),
and Mitchell Small (CEE/EPP)
The federal
government prepares an Environmental Impact Statement (EIS)
for actions which significantly affect the environment.
A broad sample of over 300 EISs from 1990 to 1995 was reviewed
and categorized. A survey was used to determine the public's
perceptions of ecological, environmental, human health and
safety, and quality-of-life impacts from EISs. The relative
importance that the public places on different aspects of
the EIS decision-making process was assessed using a conjoint
analysis. Finally, a statistical model was developed to
predict litigation likelihood and EPA's rating of EISs.
Complex EIS
with many consequential impacts were the most likely to
be litigated and most likely to receive a poor rating from
the EPA. Geographical region, sponsoring agency, and the
public's view and concerns of generic projects were not
predictive of litigation likelihood or EPA rating. A high
correlation was found between the level of impacts and both
the likelihood of litigation and a poor EPA rating. Therefore,
reduction of the level of impacts through feasible mitigation
and thorough planning is warranted.
Cumulative or
net impact scores do not adequately capture the underlying
concerns. Models of public's perception of complex multi-attribute
projects must include separate factors for positive and
negative impacts associated with each dimension. Duration
is a significant factor for describing environmental impacts.
Public perception of a project becomes more negative the
more they consider it in detail. People were generally consistent
and were able to predict accurately the factors influencing
the ranking of complex multi-attribute projects. No single
description of the public's preference towards environmental
attributes was found. Scoping is crucial to identifying
all the attitudes of the public. It must include laypeople,
and not just advocacy groups and experts. The public's view
of "environment" includes visual, cultural, and noise as
environmental impacts.
The work was
supported by the Bettis Atomic Power Laboratory-Westinghouse
Electric Corp., and the B.G. Lamme Foundation.
_____________________________________________________________________ |
|
page : [1]
[2] [3]
[4] [5]
[6] [7]
[8] [9]
[10]
[11]
[12]
[Home]
|