Article
Multidisciplinary Sciences
Renato Berlinghieri, Ian Krajbich, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini
Summary: This article proposes a consistent estimator for measuring the parameters of the DDM, which allows direct derivation of decision thresholds, drift rates, and subjective percepts from experimental data. The method also enables the prediction of drift rates for unobserved comparisons. The analysis shows that the DDM model fits well with both datasets.
Article
Green & Sustainable Science & Technology
Yong Zeng, Biqi Mao, Yurou Zhang, Yurong Tang
Summary: This study investigates public preferences for desertification control policies and the influencing factors using choice experiments and different decision rule frameworks. The results indicate that regret is an important driving factor for public choices, and decision rule heterogeneity significantly influences individuals' choice behavior.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Urban Studies
Daesik Choi, Myounggu Kang, Jeongjoong Yoon
Summary: Research on the relationship between the built environment and travel behavior shows that people tend to choose their travel modes in order to minimize overall travel time for all activities, rather than considering each trip separately. A utility- and activity-based approach is crucial for understanding this relationship and highlighting the importance of people's travel choices beyond physical aspects of the built environment.
Article
Management
Gonzalo Mendez-Vogel, Vladimir Marianov, Armin Luer-Villagra
Summary: This study proposes a new customer choice rule based on Nested Logit and efficient solution methods based on Branch and Cut to address the follower competitive facility location problem. The Nested Logit rule captures the correlation among purchases made at different chains, and the proposed solution approach improves the accuracy and computational efficiency in solving similar problems in practice.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Wei Feng, Yiping Feng, Qi Zhang
Summary: This study addresses multistage robust mixed-integer optimization with decision-dependent uncertainty sets, proposing a framework that allows consideration of both continuous and integer recourse. By leveraging recent advances in constructing nonlinear decision rules and introducing discontinuous piecewise linear decision rules for continuous recourse, the authors derive a tractable reformulation of the problem. Computational experiments show that properly modeling endogenous uncertainty and mixed-integer recourse can significantly reduce the conservatism in the solution.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Physics, Multidisciplinary
Luis Gomez-Nava, Richard Bon, Fernando Peruani
Summary: Flocking behavior is often seen as a self-organized process, but sheep flocks demonstrate that group coordination is achieved through the propagation of positional information from a temporal leader to all members. Group members alternate between the roles of leader and follower through a random process, independent of the navigation mechanism regulating collective motion episodes.
Article
Economics
Patrick Jochem, Christopher Lisson, Arpita Asha Khanna
Summary: This study highlights the importance of mode choice decisions in shaping a city's appearance and environmental impacts in times of accelerating urbanization and environmental pollution. The research suggests that coordination costs have a significant impact on mode choice decisions, and further consideration of this factor is needed to promote more sustainable urban development in the future.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Geography, Physical
Chuanpeng Zhao, Mingming Jia, Zongming Wang, Dehua Mao, Yeqiao Wang
Summary: This study developed an interpretable mangrove mapping approach (IMMA) by parsing trained RF models and incorporating decision rules. The IMMA approach showed better performance in reducing false positives compared to black-box algorithms and knowledge-based approaches. The findings contribute to improving our understanding of mangrove mapping and its applicability in the era of explainable artificial intelligence (XAI).
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Management
Gonzalo Mendez-Vogel, Vladimir Marianov, Armin Luer-Villagra, H. A. Eiselt
Summary: This paper addresses the retail store location problem in a duopoly, considering the introduction of random utility customer choice rules based on the Multinomial Logit model. A new Partially Binary Logit rule is proposed for firms with identical attributes but different locations. The results of different rules are compared based on randomly generated instances to analyze the characteristics of captured markets and location patterns.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Biology
Abraham Katzen, Hui-Kuan Chung, William T. Harbaugh, Christina Della Iacono, Nicholas Jackson, Elizabeth E. Glater, Charles J. Taylor, Stephanie K. Yu, Steven W. Flavell, Paul W. Glimcher, James Andreoni, Shawn R. Lockery, Manuel Zimmer
Summary: In value-based decision making, individuals select options based on subjective values. By studying food preferences in the nematode C. elegans, researchers found that the worms exhibit utility maximization, indicating that they maintain a representation of subjective value. This value is learned and requires intact dopamine signaling. The findings provide insights into the computational requirements for utility maximization and offer a complete explanation of value-based decision making at the resolution of single neurons in this organism.
Article
Engineering, Electrical & Electronic
Haifeng Qiu, Hoay Beng Gooi
Summary: In this paper, a unified mixed-integer linear programming (MILP) solution framework is proposed to mitigate the high computational cost of adaptive robust optimization with a mixed-integer recourse objective in real-world power scheduling. Numerical tests verify the superiority and practicability of the proposed solution framework over the existing decomposition-based solution algorithms.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Industrial
Johanna Amaya, Julian Arellara, Victor Cantillo, Stephanie Fernandez Pernett
Summary: This paper questions the use of Random Utility Maximization (RUM) to estimate Deprivation Cost Functions (DCFs) and compares it with a Random Regret Minimization (RRM) approach. The research finds that the choice of heuristic used to explain choice behavior significantly affects the estimation of deprivation costs. Additionally, the study shows that deprivation costs are context-dependent and cannot be transferred directly. It also suggests that DCFs for multiple commodities can be added separately in the same objective function when planning relief distribution operations.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Social Sciences, Mathematical Methods
Ulf Liebe, Sander van Cranenburgh, Caspar Chorus
Summary: Empirical studies on individual behaviour often assume a single decision rule, but we introduce regret minimization as a new approach and test it against the prevailing utility maximization rule in sociology. Using data from a neighborhood choice experiment in four European cities, we find a high degree of decision rule heterogeneity, with regret minimization dominating. We also show that decision rules can impact macro-level neighborhood demand.
SOCIOLOGICAL METHODS & RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Shaohua Xu, Naidan Feng, Kun Liu, Yongquan Liang, Xiaoyu Liu
Summary: The research proposes a fusion analysis model that combines fuzzy decision theory with the process information processing method of P-NNs. It automatically deduces membership function and fuzzy predicate logic rules from training examples to quickly build a fuzzy expert system prototype, providing a new method for constructing and applying expert systems based on models or rules. The adaptive learning property of WFPNN and the representation mechanism of inference rules based on FPN make it easy to extend the rule bases, model bases, and application fields of expert systems.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Mitchell Welch, Timothy M. Schaerf, Aron Murphy
Summary: The study explores the existence of collective states within the phases of play in soccer, drawing inspiration from collective movement in nature. Results show that defensive phases have a higher proportion of ordered team movement compared to attacking phases, indicating that defensive tactics may lead to higher levels of collective order.
Article
Engineering, Civil
David A. Hensher, Camila Balbontin, William H. Greene, Joffre Swait
Summary: This paper introduces a new choice model with an experience conditioning feature to address endogeneity and exogeneity issues. Conditioning on experience helps purging heterogeneity in unobserved effects and enhances the overall statistical performance of the mixed logit model.
Article
Economics
Flavio Souza, Gordon Duff, Joffre Swait
Summary: This study identifies two distinct mindsets among NDIS Participants, one favoring immediacy and disability-specific services, and the other pursuing higher-quality services and general life skills. While being a Participant or Carer does not influence the adoption of either mindset, the goals pursued by them do.
JOURNAL OF CHOICE MODELLING
(2021)
Article
Economics
Leonard Coote, Joffre Swait, Wiktor Adamowicz
Summary: This study examines the structure of preference heterogeneity in different data generation processes, aiming to distinguish between common and specific sources of preference heterogeneity. The empirical application suggests that the multitrait-multimethod model provides the best fit for the data, indicating that both data sources contribute to components of generalizable preference heterogeneity.
JOURNAL OF CHOICE MODELLING
(2021)
Article
Economics
Habtamu Tilahun Kassahun, Joffre Swait, Jette Bredahl Jacobsen
Summary: This paper analyzes the economic valuation implications of the provision of public goods, considering the impact of institutional distrust on choice set formation. A semi-compensatory hybrid choice set formation model is proposed to differentiate between budget constraints and ID-induced choice set formation effects on welfare estimates. The study shows that ignoring institutional trust issues can significantly impact project evaluations, especially in environments perceived to be corrupt.
JOURNAL OF CHOICE MODELLING
(2021)
Article
Green & Sustainable Science & Technology
Cristiano Franceschinis, Joffre Swait, Akshay Vij, Mara Thiene
Summary: Conciliating nature conservation and tourism development is crucial for managing protected areas. Understanding visitors' preferences and behavior is important for park managers. The study found that recreational choices are mainly driven by park features and visitors' personal characteristics, which can help in developing management plans aimed at attracting specific types of visitors.
Article
Economics
Jorien Veldwijk, Joffre D. Swait
Summary: This study demonstrates the econometric modeling of benefit/risk-based choice set formation within health-related discrete choice experiments. The results show that using screening or trade-off models improves model fit compared to choice set formation models in most cases. The educational level and health literacy of respondents play a significant role in choice behavior. The study highlights the importance of considering noncompensatory respondent behavior in choice modeling.
Article
Economics
Luis Pilli, Joffre Swait, Jose Afonso Mazzon
Summary: This study demonstrates the impact of modeling choice process heterogeneity on brands' performance. By conducting a Monte Carlo simulation and game theoretical analysis, the research shows that attributing heterogeneity solely to preference can lead to significant biases in different market contexts. The study emphasizes the necessity of considering choice process heterogeneity for marketers and econometricians/data scientists.
JOURNAL OF CHOICE MODELLING
(2022)
Article
Multidisciplinary Sciences
Esther W. de Bekker-Grob, Kirsten Howard, Joffre Swait
Summary: This study developed and tested a choice model that integrates social network influences into maternal choices for childhood vaccination. The study found that key influencers have a massive impact on maternal choice, surpassing the impact of vaccination attributes.
Article
Economics
Elisabeth Huynh, Joffre Swait, Emily Lancsar
Summary: Workforce participation decisions involve multiple stages, but current econometric practices often focus on individual stages. This study introduces a behaviorally consistent modeling approach to conceptualize the focal behaviors as separate sequential decision stages. An empirical application using dentists as subjects demonstrates the usefulness of this approach in investigating preferences and behaviors across different stages of workforce participation decisions.
JOURNAL OF CHOICE MODELLING
(2022)
Review
Neurosciences
Joost D. Wammes, Joffre D. Swait, Esther W. de Bekker-Grob, Joan K. Monin, Nanon H. M. Labrie, Janet L. MacNeil Vroomen
Summary: This study aimed to design a dementia friendly dyadic DCE that enables persons with dementia and informal caregivers to provide input individually and jointly, and to explore their decision-making processes. The results showed that persons with dementia can use simple DCE designs and the dyadic DCE was promising for identifying care preferences and reaching consensus between dyads.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Economics
Emily Lancsar, Elisabeth Huynh, Joffre Swait, Robert Breunig, Craig Mitton, Martyn Kirk, Cam Donaldson
Summary: Government investment in preparing for pandemics is crucial, but the public's willingness to pay and their desired policies vary among countries. Through a multinational experiment, we find that taxpayers are willing to pay millions of dollars in forgone GDP per death avoided in the next pandemic. The desired health and economic policies before and during a pandemic are relatively consistent across countries, providing valuable insights for policy responses.
Article
Health Care Sciences & Services
Jorien Veldwijk, Stella Maria Marceta, Joffre Dan Swait, Stefan Adriaan Lipman, Esther Wilhelmina de Bekker-Grob
Summary: Health-related discrete choice experiments (DCEs) information is used for decision-making in healthcare. However, there is a lack of understanding on how to identify and deal with simplifying heuristics in DCEs. This paper aims to provide an overview of common heuristics, explore their impact on DCE outcomes, and propose design and modeling strategies to accommodate for their effects.
PATIENT-PATIENT CENTERED OUTCOMES RESEARCH
(2023)
Article
Business
Miranda R. Blake, Subodh Dubey, Joffre Swait, Emily Lancsar, Peter Ghijben
JOURNAL OF BUSINESS RESEARCH
(2020)
Article
Economics
Habtamu Tilahun Kassahun, Bo Jellesmark Thorsen, Joffre Swait, Jette Bredahl Jacobsen
ENVIRONMENTAL & RESOURCE ECONOMICS
(2020)
Article
Economics
Joffre Swait, Cristiano Franceschinis, Mara Thiene
ENVIRONMENTAL & RESOURCE ECONOMICS
(2020)
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)