A Stated Preference Binary Choice Experiment to Explore NICE Decision Making

Wildfire management involves significant complexity and uncertainty, requiring simultaneous consideration of multiple, non-commensurate objectives. This paper investigates the tradeoffs fire managers are willing to make among these objectives using a choice experiment methodology that provides three key advancements relative to previous stated-preference studies directed at understanding fire manager preferences: (1) a more immediate relationship between the instrument employed in measuring preferences and current management practices and operational decision-support systems; (2) an explicit exploration of how sociopolitical expectations may influence decision-making and (3) consideration of fire managers’ relative prioritisation of cost-containment objectives. Results indicate that in the current management environment, choices among potential suppression strategies are driven largely by consideration of risk to homes and high-value watersheds and potential fire duration, and are relatively insensitive to increases in cost and personnel exposure. Indeed, when asked to choose the strategy they would expect to choose under current social and political constraints, managers favoured higher-cost suppression strategies, ceteris paribus. However, managers indicated they would personally prefer to pursue strategies that were more cost-conscious and proportionate with values at risk. These results confirm earlier studies that highlight the challenges managerial incentives and sociopolitical pressures create in achieving cost-containment objectives.

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Survival or Mortality: Does Risk Attribute Framing Influence Decision-Making Behavior in a Discrete Choice Experiment?

Value in Health ◽

10.1016/j.jval.2015.11.004 ◽

2016 ◽

Vol 19 (2) ◽

pp. 202-209 ◽

Cited By ~ 9

Author(s):

Jorien Veldwijk ◽

Brigitte A.B. Essers ◽

Mattijs S. Lambooij ◽

Carmen D. Dirksen ◽

Henriette A. Smit ◽

...

Keyword(s):

Decision Making ◽

Discrete Choice Experiment ◽

Discrete Choice ◽

Choice Experiment ◽

Decision Making Behavior

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Preferences for skewness: evidence from a binary choice experiment

European Journal of Finance ◽

10.1080/1351847x.2010.495478 ◽

2011 ◽

Vol 17 (7) ◽

pp. 525-538 ◽

Cited By ~ 12

Author(s):

Tobias Brünner ◽

René Levínský ◽

Jianying Qiu

Keyword(s):

Choice Experiment ◽

Binary Choice

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Using a stated preference discrete choice experiment to assess societal value from the perspective of decision-makers in Europe. Does it work for rare diseases?

Health Policy ◽

10.1016/j.healthpol.2018.11.015 ◽

2019 ◽

Vol 123 (2) ◽

pp. 152-158 ◽

Cited By ~ 3

Author(s):

J. López-Bastida ◽

J.M. Ramos-Goñi ◽

I. Aranda-Reneo ◽

M. Trapero-Bertran ◽

P. Kanavos ◽

...

Keyword(s):

Discrete Choice Experiment ◽

Discrete Choice ◽

Rare Diseases ◽

Choice Experiment ◽

Stated Preference ◽

Decision Makers ◽

Societal Value

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Uncovering the spatio-temporal dynamics of value-based decision-making in the human brain: a combined fMRI–EEG study

Philosophical Transactions of the Royal Society B Biological Sciences ◽

10.1098/rstb.2013.0473 ◽

2014 ◽

Vol 369 (1655) ◽

pp. 20130473 ◽

Cited By ~ 19

Author(s):

Tobias Larsen ◽

John P. O'Doherty

Keyword(s):

Decision Making ◽

Prefrontal Cortex ◽

Temporal Dynamics ◽

Brain Regions ◽

Choice Task ◽

Binary Choice ◽

Intraparietal Sulcus ◽

Trial Onset ◽

Eeg Data ◽

Spatio Temporal

While there is a growing body of functional magnetic resonance imaging (fMRI) evidence implicating a corpus of brain regions in value-based decision-making in humans, the limited temporal resolution of fMRI cannot address the relative temporal precedence of different brain regions in decision-making. To address this question, we adopted a computational model-based approach to electroencephalography (EEG) data acquired during a simple binary choice task. fMRI data were also acquired from the same participants for source localization. Post-decision value signals emerged 200 ms post-stimulus in a predominantly posterior source in the vicinity of the intraparietal sulcus and posterior temporal lobe cortex, alongside a weaker anterior locus. The signal then shifted to a predominantly anterior locus 850 ms following the trial onset, localized to the ventromedial prefrontal cortex and lateral prefrontal cortex. Comparison signals between unchosen and chosen options emerged late in the trial at 1050 ms in dorsomedial prefrontal cortex, suggesting that such comparison signals may not be directly associated with the decision itself but rather may play a role in post-decision action selection. Taken together, these results provide us new insights into the temporal dynamics of decision-making in the brain, suggesting that for a simple binary choice task, decisions may be encoded predominantly in posterior areas such as intraparietal sulcus, before shifting anteriorly.

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Strategies to increase downloads of COVID–19 exposure notification apps: A discrete choice experiment

PLoS ONE ◽

10.1371/journal.pone.0258945 ◽

2021 ◽

Vol 16 (11) ◽

pp. e0258945

Author(s):

Jemima A. Frimpong ◽

Stéphane Helleringer

Keyword(s):

Decision Making ◽

Discrete Choice Experiment ◽

Discrete Choice ◽

Financial Incentives ◽

Choice Experiment ◽

Real Life ◽

Contact Tracing ◽

Reference Scenario ◽

Pragmatic Trials ◽

The Us

Exposure notification apps have been developed to assist in notifying individuals of recent exposures to SARS-CoV-2. However, in several countries, such apps have had limited uptake. We assessed whether strategies to increase downloads of exposure notification apps should emphasize improving the accuracy of the apps in recording contacts and exposures, strengthening privacy protections and/or offering financial incentives to potential users. In a discrete choice experiment with potential app users in the US, financial incentives were more than twice as important in decision-making about app downloads, than privacy protections, and app accuracy. The probability that a potential user would download an exposure notification app increased by 40% when offered a $100 reward to download (relative to a reference scenario in which the app is free). Financial incentives might help exposure notification apps reach uptake levels that improve the effectiveness of contact tracing programs and ultimately enhance efforts to control SARS-CoV-2. Rapid, pragmatic trials of financial incentives for app downloads in real-life settings are warranted.

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Understanding uptake of digital health products: Methodology tutorial for a Discrete Choice Experiment using a Bayesian efficient design (Preprint)

10.2196/preprints.32365 ◽

2021 ◽

Author(s):

Dorothy Szinay ◽

Rory Cameron ◽

Felix Naughton ◽

Jennifer A. Whitty ◽

Jamie Brown ◽

...

Keyword(s):

Discrete Choice Experiment ◽

Discrete Choice ◽

Choice Experiment ◽

Stated Preference ◽

Digital Health ◽

Revealed Preferences ◽

Quantitative Methodology ◽

Efficient Design ◽

Trade Offs ◽

Health Products

UNSTRUCTURED Understanding the preferences of potential users of digital health products is beneficial for digital health policy and planning. Stated preference methods could help elicit individuals’ preferences in the absence of observational data. A discrete choice experiment (DCE) is a commonly used stated preference method; a quantitative methodology that argues that individuals make trade-offs when engaging in a decision by choosing an alternative of a product or service that offers the greatest utility, or benefit. This methodology is widely used in health economics in situations where revealed preferences are difficult to collect but is much less used in the field of digital health. This article outlines the stages involved in developing a discrete choice experiment. As a case study, it uses the application of a DCE for revealing preferences in targeting the uptake of smoking cessation apps. It describes the establishment of attributes, the construction of choice tasks of two or more alternatives, and the development of the experimental design. This tutorial offers a guide for researchers with no prior knowledge of this research technique.

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Economic Valuation of the Renewal of Urban Streets: A Choice Experiment

Sustainability ◽

10.3390/su12124808 ◽

2020 ◽

Vol 12 (12) ◽

pp. 4808

Author(s):

Yuhan Shao ◽

Xinyu Xu ◽

Like Jiang ◽

Romain Crastes dit Sourd

Keyword(s):

Decision Making ◽

Choice Experiment ◽

Online Survey ◽

Economic Valuation ◽

Cost Benefit ◽

Public Preferences ◽

Strong Basis ◽

Urban Street ◽

Cost Benefit Ratio ◽

Bicycle Lane

Examination of users’ preferences and needs can provide an additional and strong basis for decision making, which is applicable in the case of urban street renewal. In this study, a choice experiment on street renewal plans in Shanghai was conducted using an online survey (N = 546), and people’s willingness to pay (WTP) for a set of street attributes was estimated, including bicycle lane separation, pedestrian path width, green looking ratio and recreational and commercial amenities. By comparing WTPs, the results show that people had greater preferences for adding resting facilities than any other attributes in this scene, and they also give some examples of prices of street attributes in a street renewal scene. The gender, age and occupation of participants had a significant effect on WTPs. Females showed greater WTP for setting separate bicycle lanes and improving greening and amenities, and the age of street users had a positive effect on WTP through the payment for street renewal. The reasoning section of the survey indicated the concern on the cost–benefit ratio, the need to renew and overall impression when choosing, and only a few participants were unwilling to pay anything for street improvement. This kind of economic valuation can estimate the values that people place on street attributes that are otherwise not measurable in design and planning practice; it can help us understand public preferences for street renewal and support decision making.

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