Article
Environmental Sciences
C. M. Cooper, S. Sharma, R. E. Nicholas, K. Keller
Summary: This article discusses the need for information design in managing flood risks and emphasizes the importance of uncertainty characterization, model diagnostics, and evaluating how decision-makers use information.
Article
Public, Environmental & Occupational Health
Fang Zhang, Ning Lin, Howard Kunreuther
Summary: The United States' National Flood Insurance Program (NFIP) has introduced Risk Rating 2.0 to assess and charge more accurate insurance rates. This study proposes a strategy to update premium rates by considering climate change effects and addressing affordability and risk mitigation issues. The strategy is tested in Ortley Beach, NJ, and shown to reduce potential losses, improve flood resistance, and be effective in various scenarios.
Review
Environmental Sciences
Marissa K. Webber, Constantine Samaras
Summary: Decision making under deep uncertainty is crucial for managing flooding exacerbated by climate change. Green infrastructure, as an important adaptation strategy, has multiple co-benefits and is characterized as low-regret under uncertainty. However, there is limited research on the integration of green infrastructure in decision making under deep uncertainty. This paper reviews publications that use decision making under deep uncertainty frameworks and focus on green infrastructure adaptation strategies in flood management, identifying trends and proposing solutions for future research.
Review
Environmental Sciences
Viktor Rozer, Sara Mehryar, Swenja Surminski
Summary: Driven by urban growth and climate change, the flood risk in urban areas is increasing. The concept of urban flood resilience has evolved over the past two decades, focusing on enabling urban communities to live with floods and learn from previous shocks. However, challenges remain in conceptualizing and applying urban flood resilience, including issues of fairness, data and methodological limitations, and uncertainty around changing risks due to climate change.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Public, Environmental & Occupational Health
Gina Tonn, Jeffrey Czajkowski
Summary: Despite the high flood losses caused by tropical cyclones, the United States is still insufficiently prepared for such events, with a lack of residential flood insurance being a major issue. By analyzing residential flood claim data from 2001 to 2014, this study reveals that freshwater flooding, rather than storm surge flooding, is the main driver of claims and damages. These findings highlight the need to address both freshwater and storm surge flood risk and to adjust flood insurance premiums based on individual circumstances.
Article
Environmental Sciences
Jonathan Raikes, Daniel Henstra, Jason Thistlethwaite
Summary: Effective flood risk management requires a mix of policy instruments that reduces, shares, and manages flood risk. This paper examines public attitudes toward flood risk management policy instruments based on a national survey of Canadians living in high-risk areas. The results indicate that all five policy instruments have high social acceptability, but they must be calibrated to ensure access to flood risk information and achieve a fair distribution of FRM costs among key stakeholders.
ENVIRONMENTAL MANAGEMENT
(2023)
Article
Psychology, Multidisciplinary
Shihu Zhang, Guangcai Zhang, Jinpei Li, Haiying Gu
Summary: This paper examines the effects of Internet use on residents' risk attitudes using data from the China Family Panel Studies (CFPS). The study finds that Internet use is associated with increases in both subjective and objective risk preferences, even after accounting for possible endogeneity. The analysis also reveals that these effects vary among groups with different reasons for Internet use and different personal characteristics. This study contributes to the understanding of how Internet use influences people's concepts and suggests the importance of considering individual characteristics when promoting information technology to share its benefits.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Fereshteh Taromideh, Ramin Fazloula, Bahram Choubin, Alireza Emadi, Ronny Berndtsson
Summary: Urban flood-risk mapping is a crucial tool for mitigating flooding in the face of urbanization and climate change. However, many developing countries lack sufficient data for reliable risk mapping. This study presents an innovative approach using the semi-subjective Analytic Hierarchy Process (AHP) to integrate subjective and objective assessments. By combining existing data with citizen observations, an urban flood-risk map is created using machine learning methods. The map can aid in flood-risk mitigation and allocation of warning and forecasting systems. The findings highlight the significant parameters influencing flood hazards and vulnerability. This integrated technique provides credible results without complex modeling and costly field surveys, making it particularly valuable in data-poor areas for managers and decision makers.
Article
Environmental Sciences
Katherine D. Lee, Gregory L. Torell, Soren Newman
Summary: This study examines the misuse of flood risk terminology in the media and its implications for risk perception in society. The research found that the key to correctly interpreting technical flood terminology lies in understanding of independent probabilities.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Hope Thomson, Harrison B. Zeff, Rachel Kleiman, Antonia Sebastian, Gregory W. Characklis
Summary: Direct damage from residential flooding can be insured or uninsured. Besides direct damages, flood losses also include decreases in property values which can influence mortgage default rates. This research evaluates the risk of default and abandonment in eastern North Carolina following Hurricane Florence using property-level data and machine learning techniques, and estimates total flood losses to be $1.77B in addition to observed insured damages.
Article
Computer Science, Artificial Intelligence
Wen Shi, Wei-Neng Chen, Tianlong Gu, Hu Jin, Jun Zhang
Summary: Parameters in financial decision-making models are often obtained based on historical data with strong uncertainties. This article proposes a simplified simulation approach for handling uncertainty using a group insurance portfolio problem as an example.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
Manish Aggarwal
Summary: New entropy functions based on an agent's perceived uncertainty are formulated in this paper, highlighting the role of the decision-maker's attitude. The study introduces new attitude-based variants of probabilistic entropies and extends existing fuzzy entropies to consider the agent's specific attitude. The proposed entropy functions are shown to have wide applicability in multi criteria decision making.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Geosciences, Multidisciplinary
Andre Luiz Q. Reis, Ricardo M. Stenders, Isabela S. Alves, Renan A. Camara, Alba R. A. Arana, Jose Carlos C. Amorim, Edson R. Andrade
Summary: This study explores the mathematical correlation between indexes characterizing a territory's susceptibility to flooding and the potential damage caused to the public, while also considering the cognitive influence of decision-makers on risk perception. The results offer a new perspective for natural disaster management assessment by estimating the impact of decision-makers' intellectual selfperception on outcomes.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Public, Environmental & Occupational Health
Haoying Wang
Summary: Climate change causes increased precipitation variability globally, leading to more frequent floods, significantly impacting farmland values. A study in Lancaster County, Pennsylvania, USA, reveals that cropland is more vulnerable to flood risk compared to noncrop farmland, highlighting the need for different flood preparedness and risk management strategies in agricultural sectors.
Article
Ergonomics
Emma Sartin, Kristina B. Metzger, Jalaj Maheshwari
Summary: This study aimed to understand child fatalities in hot cars in the US and surveyed caregivers' beliefs, behaviors, and attitudes. The study found that most caregivers do not leave their children alone in vehicles, but there are differences among caregivers. They generally believe that education about pediatric vehicular heatstroke (PVH) is important and are willing to use risk mitigating technologies.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Geosciences, Multidisciplinary
Ajita Atreya, Jeffrey Czajkowski, Wouter Botzen, Gabriela Bustamante, Karen Campbell, Ben Collier, Francisco Ianni, Howard Kunreuther, Erwann Michel-Kerjan, Marilyn Montgomeru
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2017)
Article
Green & Sustainable Science & Technology
Daniel Schwartz, George Loewenstein, Loreto Aguero-Gaete
NATURE SUSTAINABILITY
(2020)
Article
Economics
Angelica Cordova, Alex Imas, Daniel Schwartz
Summary: The study found that non-contingent economic incentives can effectively attract previously unengaged individuals to participate in activities, motivating people to adopt new behaviors more effectively than contingent incentives, especially for those who have never engaged in the activity before.
GAMES AND ECONOMIC BEHAVIOR
(2021)
Article
Engineering, Civil
Jacqueline Arriagada, Claudio Mena, Marcela Munizaga, Daniel Schwartz
Summary: Transport data is crucial for planning and operations. Crowdsourcing applications offer a non-traditional method for data collection, but depend on user participation. Economic incentives and cooperation messages have a positive effect on increasing user participation, but the effect of economic incentives decreases over time.
Article
Business
Susana Mondschein, Marcelo Olivares, Fernando Ordonez, Daniel Schwartz, Andres Weintraub, Ignacio Torres-Ulloa, Cristian Aguayo, Gianpiero Canessa
Summary: The COVID-19 pandemic has disrupted the service sector and requires balancing infection risk and waiting time in service design. Capacity limits can be a useful tool in balancing these risks and service quality.
Article
Business
Sebastian Araya, Andres Elberg, Carlos Noton, Daniel Schwartz
Summary: We examined the effects of a large-scale mandatory food labeling regulation on consumer behavior. The study found that warning labels decrease demand and purchase probabilities in the cereal category, especially among medium-low socioeconomic groups. The results suggest that the warning label effect is consistent with information disclosure influencing consumers' choices when the advertised information is unexpected.
Article
Economics
Benjamin Gramsch, C. Angelo Guevara, Marcela Munizaga, Daniel Schwartz, Alejandro Tirachini
Summary: This study analyzes the impact of the dynamic lockdown strategy implemented in the city of Santiago, Chile, from 2019 to 2020 on public transport demand. The results show a significant decrease in public transport demand during the early stages of the pandemic and school closures, with a 12.1% reduction due to the dynamic lockdown measures. The study also finds that the effectiveness of the lockdown measures decreases after the fifth week, indicating a short-term effect in reducing mobility. Additionally, the lockdowns have a greater impact on reducing public transport demand in municipalities with a higher proportion of elderly population and high-income households.
Article
Psychology, Applied
Daniel Schwartz, Elizabeth A. Keenan, Alex Imas, Ayelet Gneezy
Summary: Research shows that prosocial incentives may be more effective than monetary incentives, but individuals are more likely to avoid activities involving any prosocial incentive. Therefore, it is important to consider the margin of decisions when designing incentive schemes.
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES
(2021)
Article
Business, Finance
Marc A. Ragin, Benjamin L. Collier, Johannes G. Jaspersen
Summary: The study reveals that consumers exhibit significant demand for high-load insurance in the laboratory setting, similar to naturally occurring insurance markets. However, the disclosure of information does not have any effect on the subjects' insurance choices. The implications of these results for potential public policy initiatives in insurance markets are discussed.
JOURNAL OF RISK AND INSURANCE
(2021)
Article
Business, Finance
Benjamin L. Collier
JOURNAL OF RISK AND INSURANCE
(2020)
Article
Business, Finance
Benjamin L. Collier, Marc A. Ragin
JOURNAL OF RISK AND INSURANCE
(2020)
Article
Business, Finance
Benjamin L. Collier, Volodymyr O. Babich
JOURNAL OF RISK AND INSURANCE
(2019)
Article
Business
Daniel Schwartz, George Loewenstein
JOURNAL OF PUBLIC POLICY & MARKETING
(2017)