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Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

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SRA 2013 Annual Meeting <strong>Abstracts</strong><br />

W2-H.2 Xu, J; Song, C; Zhuang, J, J*; University at Buffalo,<br />

SUNY; jzhuang@buffalo.edu<br />

Robust Screening Policy--Balancing Congestion and<br />

Security in the Presence of Strategic Applicants with<br />

Private In<strong>for</strong>mation<br />

Concerns on security and congestion appear in security<br />

screening which is used to identify and deter potential threats<br />

(e.g., attackers, terrorists, smugglers, spies) among normal<br />

applicants wishing to enter an organization, location, or facility.<br />

Generally, in-depth screening reduces the risk of being<br />

attacked, but creates delays that may deter normal applicants<br />

and thus, decrease the welfare of the approver (authority,<br />

manager, screener). In this research, we develop a model to<br />

determine the optimal screening policy to maximize the reward<br />

from admitting normal applicants net of the penalty from<br />

admitting bad applicants. We use an M/M/n queueing system to<br />

capture the impact of security screening policies on system<br />

congestion and use game theory to model strategic behavior, in<br />

which potential applicants with private in<strong>for</strong>mation can decide<br />

whether to apply based on the observed approver's screening<br />

policy and the submission behavior of other potential<br />

applicants. We provide analytical solutions <strong>for</strong> the optimal<br />

non-discriminatory screening policy and numerical illustrations<br />

<strong>for</strong> both the discriminatory and non-discriminatory policies. In<br />

addition, we discuss more complex scenarios including robust<br />

screening, imperfect screening, abandonment behavior, and<br />

complex server networks.<br />

T2-I.1 XU, J*; Lambert, J.H.; University of Virginia;<br />

jx5aj@virginia.edu<br />

Addressing Uncertainties of Avoided Crash <strong>Risk</strong>, Travel<br />

Time Savings, and Lifecycle Costs in Transportation<br />

Access Management<br />

Access management in transportation planning can save travel<br />

time, reduce crashes, and increase route capacities. The<br />

literature suggests a need <strong>for</strong> per<strong>for</strong>mance metrics and a<br />

decision-aiding framework to guide access management<br />

programs across large corridor networks and diverse time<br />

horizons. This research discusses a quantitative framework to<br />

support access management programs decision making,<br />

applying multicriteria analysis and cost-benefit analysis with<br />

data and parameter uncertainties. The metrics used to assess<br />

relative needs at existing access points include: crash intensity,<br />

crash exposure, travel time delay factor, access point density,<br />

traffic exposure, value of time, costs of typical access<br />

management activities, etc. Uncertain data and parameters that<br />

influence the estimates of potential benefits and costs are<br />

identified and treated via a numerical interval analysis. The<br />

framework is demonstrated at several geographic scales and<br />

locations including six thousand miles of highways of a<br />

geographic region and its several sub-regions. The results<br />

assist decision makers to find from various perspectives which<br />

route segments should be addressed sooner by collection of<br />

additional data, reserving right of way, closing access points,<br />

new alignments, development proffers, etc. The methods<br />

combing uncertainty analysis, multicriteria analysis, and<br />

cost-benefit analysis should be interest to engineers,<br />

policymakers, and stakeholders engaged in the strategic<br />

planning of access management and other multiscale systems,<br />

and are transferable to other topics involving cost-benefit<br />

analysis under uncertainty, evidence-based decision aids,<br />

strategic resource allocation, and others.<br />

T1-E.2 Yan, Z*; Zhao, Q; ORISE; yan.june@epa.gov<br />

Toxicity Review of Technical Grade Dinitrotoluene And<br />

Identification of its Critical Effects<br />

Technical grade dinitrotoluene (tgDNT) is a mixture of<br />

dinitrotoluene isomers. It is composed of 76% 2,4 DNT and 19%<br />

2,6 DNT. The toxicological effects of tgDNT were reviewed and<br />

the critical effects were identified by evaluating available<br />

human occupational and animal studies mainly via inhalation<br />

and oral exposure routes. In occupational studies of workers<br />

from DNT manufacturing plants, tgDNT exposure<br />

(predominately via the inhalation route) associates with clinical<br />

symptoms, adverse reproductive effects, adverse effects on the<br />

cardiovascular system, and increased carcinogenic risk.<br />

However, these occupational studies are limited due to<br />

co-exposure to other known and/or unknown chemicals and lack<br />

of useful exposure in<strong>for</strong>mation. Oral studies in F344 rats<br />

showed that tgDNT has a broad toxicity pro<strong>file</strong> in both males<br />

and females including significantly increased reticulocytes and<br />

Heinz bodies, increased relative liver weight and kidney weight,<br />

spleen hemosiderin and extramedullary hematopoiesis,<br />

increased incidence of chronic interstitial nephritis, and<br />

hepatotoxicity characterized by increased incidences of<br />

hepatocyte necrosis, hyperbasophilic hepatocytes, and<br />

hepatocyte megalocytosis. The incidence of testicular<br />

degeneration in male rats is also significantly increased by<br />

tgDNT. In order to identify the most sensitive non-cancer<br />

effect(s), all toxicological endpoints from subchronic, chronic,<br />

and reproductive/developmental studies were evaluated and<br />

dose response data were modeled using EPA’s Benchmark Dose<br />

Software. A comparison of the points of departure <strong>for</strong> all<br />

potential critical effects suggests increased hepatocyte necrosis<br />

is the most sensitive effect and is thus considered the critical<br />

effect following subchronic and chronic oral exposure. In<br />

summary, tgDNT elicits a broad spectrum of non-cancer effects,<br />

among which hepatocyte necrosis was identified as the most<br />

sensitive effect. The views expressed in this abstract are those<br />

of the authors and do not necessarily reflect the views or<br />

policies of the U.S. EPA.<br />

T4-G.2 Yang, ZJ; Rickard, L.*; Seo, M.; Harrison, T.; University<br />

at Buffalo, SUNY College of Environmental Science and<br />

Forestry, University at Albany; zyang5@buffalo.edu<br />

The “I” in climate: The role of individual responsibility in<br />

systematic processing of climate change in<strong>for</strong>mation<br />

Past research suggests that how we perceive risk can be<br />

related to how we attribute responsibility <strong>for</strong> risk events. In<br />

particular, Kahlor, Dunwoody, and Griffin (2002) found that<br />

individuals who successfully avoided becoming ill from a<br />

waterborne parasite were more likely to attribute the outcome<br />

to their own actions, while those who fell ill were more likely to<br />

attribute causation externally. With the exception of this study,<br />

a substantial gap in research lies in the lack of connection<br />

between attribution of responsibility, risk perception, and<br />

in<strong>for</strong>mation processing. This study fills this gap by examining<br />

whether attribution of responsibility <strong>for</strong> alleviating a risk issue<br />

influences communication behaviors that are often predicted by<br />

elevated risk perceptions. In Spring 2013, 572 undergraduates<br />

at two large research universities were randomly assigned to<br />

read one of two newspaper articles that emphasized either<br />

individual responsibility (by highlighting personal actions) or<br />

societal responsibility (by highlighting government policy) <strong>for</strong><br />

climate change mitigation. Results from this experiment<br />

indicate that subjects in the individual responsibility condition<br />

were significantly more likely to process the message in a<br />

systematic manner. In addition, respondents with more<br />

ecocentric environmental attitudes, more negative feelings<br />

toward the impacts of climate change, and more favorable<br />

attitudes toward climate change in<strong>for</strong>mation in general were<br />

also more likely to process the message systematically;<br />

however, attribution of responsibility did not interact with risk<br />

perception to influence systematic processing. Interestingly,<br />

respondents who identified as Christian (including Protestants,<br />

Catholics, and other denominations) were also more likely to<br />

process climate change in<strong>for</strong>mation systematically. These<br />

findings suggest that strategic communication about climate<br />

change can emphasize individual responsibility to attract more<br />

attention from the audience and to promote deeper thinking<br />

about the issue.<br />

December 8-11, 2013 - Baltimore, MD

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