Preferred Choice Research Articles

Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications

ABSTRACT Despite many years of research and rapid changes in the field of bicycle route choice modelling, a review of factors associated with cyclists’ route choice decisions is missing. This paper reviews 33 studies that employed GPS data and statistical modelling to explain the route choice behaviour of cyclists on utilitarian trips. Factors associated with bicycle route choice are divided into network, contextual, and individual factors. Findings from this review demonstrate that a refined categorisation of model attributes is essential, as the preferences vary greatly between different route attributes. Moreover, the analysis indicates a strong influence of the local context on the attribute definitions and route choice preferences. Although some commonalities between studies w.r.t. the network factors (e.g. a preference towards bicycle infrastructure or avoidance of slopes) can be determined, many results are contradictory or intertwined with other factors. Specifically, results related to intersections, land use characteristics, and interaction with other modes of transport are not always conclusive and are strongly dependent on the local context. However, the explanation of some of the unclear effects can be facilitated by incorporating contextual or individual information in the models. Based on the analysis of the existing studies, this review encourages a joint consideration of studies employing quantitative and qualitative methods to explain cyclists’ behaviour. Moreover, reporting model results in an accessible form (e.g. through relatable values or visualisation) is essential to build bridges between bicycle research and policymaking. Future research is encouraged to study cyclists’ route choice decisions from the perspective of objective well-being, quantifying and modelling the influence of factors such as safety, health, energy expenditure, or noise exposure.

Lexicographic Preferences in Candidate Choice. How Party Affiliation Dominates Gender and Race

Abstract Understanding which political candidates are elected for office is fundamental to democracy and political science. Whereas there is much agreement that party affiliation is one of the most important candidate characteristics to voters, evidence regarding the gender and race of the candidate is mixed. We suggest voters have lexicographic preferences, meaning they rank their preferences and focus primarily on the candidate's party affiliation. Second-order preferences such as gender and race are mostly necessary when there is a tie in first-order preferences when voters choose between two same-party candidates or have no party information. We show how conjoint experiments can be used to test for lexicographic preferences and use data from a US-representative sample and a pre-registered replication to confirm that in the United States, gender and race are second-order preferences. Lexicographic preferences provide a theoretical lens explaining some of the mixed results of gender and race in the candidate literature.

Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets

We propose a framework for nonparametric identification and estimation of discrete choice models with unobserved choice sets. We recover the joint distribution of choice sets and preferences from a cross-section of repeated choices. We assume that either the latent choice sets are sparse or that the number of repeated choices is sufficiently large. Sparsity requires the number of possible choice sets to be relatively small. It is satisfied, for instance, when the choice sets are nested or when they form a partition. Our estimation procedure is computationally fast and uses mixed-integer programming to recover the sparse support of choice sets. Analyzing the ready-to-eat cereal industry using a household scanner dataset, we find that ignoring the unobservability of choice sets can lead to incorrect estimates of preferences.

A story of becoming a horticultural threat, cypress jewel beetle Lamprodila festiva (Coleoptera, Buprestidae): analytical approach of its European escalation based on bibliographical sources

The cypress jewel beetle, Lamprodila festiva, as one of the most destructive local invasive pests in Europe is currently an extreme threat to the coniferous Cupressaceae trees. The beetle spread at an unprecedented pace and intensity and poses a threat to many countries. Our study aimed to map the Palearctic distribution of L. festiva and measure the dispersal's pace and directions. Besides, one of our goals was visualising the adult’s seasonal activity and their host plant choice preference. A meta-analytical assessment was carried out to answer these questions based on the related bibliographical sources available in scientific databases. Our results confirmed that L. festiva has spread with extraordinary speed and success across the western Palaearctic areas, where the consequences of global warming have provided optimal conditions. The first population successful reproduction was started at five well-differentiated natural reserve areas across Europe in a latent manner. The flight season of L. festiva typically occurs from May to July, with the peaks varying depending on the area of distribution. Our studies have shown that L. festiva is a typical oligophagous pest, favouring certain species within its range of host plants. Thus, the genera Thuja, Platycladus and Juniperus species are most affected by its damage. Starting from its exceptional distribution characteristics, realising biological explanatory and applied protection research related to this species can become an urgent expectation in the future.

The impact of stress on the risk decision-making process.

The effect of stress on risk-taking or risk-averse behavior in decision-making has been inconclusive in previous research, with few studies revealing the underlying neural mechanisms. This study employed event-related potentials technique and combined a social cold pressor assessment test with a mental arithmetic task to induce stress responses, aiming to investigate the influence of exogenous stress on the risk decision-making process. Stress induction results indicated that, in addition to raising heart rate and blood pressure, stress responses were accompanied by enhanced negative emotions, diminished positive emotions, and alterations in neural activity. The outcomes of risk decision-making showed that stress did not significantly affect risk preference or time of choice but did reduce the feedback-related negativity/reward positivity, with a particularly significant effect observed for large outcomes. Stress also altered the amplitude of the P3 component, with stress decreasing the P3 value for winning outcomes relative to losing outcomes. The study suggests that understanding how stress affects risk preference should consider the emotional valence induced by stress. Contrary to the reward sensitivity hypothesis, stress weakened reward sensitivity. Stress led to changes in the allocation of cognitive resources for outcome evaluation: compared to negative outcomes, stress reduced cognitive resources for positive outcomes, which might be related to the enhanced negative emotions induced by stress. The study highlights the importance of focusing on the subjective emotional experience induced by stress in future research on stress and risk decision-making.

Exploring the Impact of Decoys on Decision‐Making by Young Children

ABSTRACTThe asymmetric dominance effect (or decoy effect) is a decision‐making phenomenon that occurs when preference for a target alternative shifts with the addition of a similar, yet inferior alternative dubbed the decoy. Despite the considerable number of studies examining the decoy effect with adult humans and animals, there is comparatively less research on context effects within the developmental domain. In this study, we explored the impact of a decoy on choice behavior by young children (3–9 years old) using a preferential choice task as well as a perceptual discrimination task. Introduction of an inferior decoy impacted choice behavior across 2‐alternative (binary) versus 3‐alternative (trinary) sets, such that inclusion of the dominated decoy in expanded sets decreased selection of the superior target alternative. This pattern of results indicates a reversal of the standard attraction effect, also known as the repulsion effect. We discuss these findings in light of the adult and comparative literatures on decoy effects as well as call for additional developmental studies exploring the impact of inferior alternatives in multialternative decision‐making.

A data-driven agent-based model of primary school segregation in Amsterdam

ABSTRACT Theoretical agent-based models of residential and school choice have shown that substantial segregation can emerge as an (unintended) consequence of interactions between individual households and feedback mechanisms, despite households being relatively tolerant. However, for school choice, existing models have mostly been highly stylized, leaving open whether they are relevant for understanding school segregation in concrete empirical settings. To bridge this gap, this study develops an empirically calibrated agent-based model focusing on primary school choice in Amsterdam. Consistent with existing models, results show that substantial school segregation emerges when schools are chosen based on a trade-off between composition and distance, and also when households are relatively tolerant. Additionally, findings of (hypothetical) policy simulations suggest that it is important to understand which preferences for school composition and distance households have and how these interact. We find that the effects of policies aiming to reduce school segregation through geographical restricting mechanisms are highly dependent on those interacting preferences. Also, we assessed the contribution of residential segregation to school segregation. Our findings may have implications for methodologies aiming to estimate school choice preferences, such as discrete choice models, as these methodologies do not explicitly control for implications of these interactions and feedback mechanisms, which might lead to incorrect inference.

Screening of a potential probiotic Lactiplantibacillus plantarum NUC08 and its synergistic effects with yogurt starter

This study aims to identify lactic acid bacteria (LAB) isolates possessing physiological characteristics suitable for use as probiotics in yogurt fermentation. Following acid and bile salt tolerance tests, Lactiplantibacillus plantarum (NUC08 and NUC101), Lacticaseibacillus rhamnosus (NUC55 and NUC201), and Lacticaseibacillus paracasei (NUC159, NUC216 and NUC351) were shortlisted based on intraspecies distribution for further evaluation. Their physiological probiotic properties, including transit tolerance, adhesion, auto-aggregation, surface hydrophobicity, biofilm formation, and antibacterial activity, were assessed. Principal Component Analysis (PCA) indicated that L. plantarum NUC08 was the preferred choice among the evaluated strains. Subsequent investigations revealed that co-culturing L. plantarum NUC08 with 2 yogurt starter strains resulted in a cooperative and synergistic effect, enhancing the growth of mixed strains and increasing their tolerance to simulated gastric and intestinal conditions. Additionally, when Vibrio harveyi bioluminescent reporter strain was used, the 3 cocultured strains cooperated to induce the activity of a quorum sensing (QS) molecule AI-2, hinting a potential connection between phenotypic traits and QS in the cocultured strains. Importantly, LAB viable counts were significantly higher in yogurt co-fermented with L. plantarum NUC08, consistently throughout the storage period. In conclusion, the study demonstrates that the probiotic strain L. plantarum NUC08 can be employed in synergy with yogurt starter strains, affirming its potential for use in the development of functional fermented dairy products.

Preferences and Quality of Life in Nursing Home Residents: A Mixed Methods Study.

Delivery of person-centered care (PCC) is the standard in nursing homes (NHs) and demonstrates a positive impact on resident quality of life (QOL). PCC inherently recognizes and prioritizes resident preferences; however, preferences, and their degree of importance among residents, demonstrate a variable relationship with QOL that remains underexplored. Therefore, the current study examined the association between preferences and QOL among NH residents. A mixed methods study incorporating surveys was conducted among 144 residents, with semi-structured follow-up interviews with 11 residents. Findings confirm a variable relationship between resident preferences and QOL. Higher order preferences not captured within the preference assessment may influence QOL. High numbers of unimportant and can't do/no choice preferences were linked to resident acclimatization to the NH. QOL was at risk if care was not consistent with preferences. In-depth assessments and robust measures of preferences and QOL should be integrated into care delivery and future research. [Journal of Gerontological Nursing, 50(5), 7-13.].

Shared Decision-making in Breast Cancer Reconstructive Surgery: Experience in a Leading Hospital.

The paradigm of healthcare has evolved toward patient-centered approaches, where shared decision-making (SDM) plays a pivotal role. This study aimed to explore the implementation of SDM during breast cancer reconstruction consultations and assess its impact on patient satisfaction and the decision-making process as a whole. A total of 102 female patients undergoing breast reconstruction were included in a multidisciplinary breast pathology unit. A streamlined SDM model involving choice introduction, option description, and preference exploration was implemented. A validated Spanish version of the nine-item Shared Decision Making Questionnaire was used alongside a complementary questionnaire. Data analysis was carried out using electronic data capture software. The nine-item Shared Decision Making Questionnaire results indicate strong agreement in presenting various options and explaining their advantages and disadvantages. Patients were less confident about their participation in decision-making. The Complementary Shared Decision Making Questionnaire highlighted high satisfaction with interview times and language clarity but areas for improvement in consultation space and therapeutic choice participation. Integrating SDM into breast reconstruction consultations empowers patients in the decision-making process and enhances satisfaction. Decision aids prove effective in this context, facilitating patients' comprehension and reducing decisional conflict. There are areas for improvement within the SDM strategy, and they are detectable through scales. Although challenges in information transmission and patient involvement persist, adopting an SDM model has potential benefits that warrant further investigation.

Exploring consumer perception and preference factors influencing carbonated beverage purchase decisions: A comprehensive study

Carbonated soft drinks (CSDs) have long been a mainstay of the beverage business but changing consumer tastes and rising health awareness have necessitated a thorough study of the variables impacting consumer choices. This study intends to explore the complex web of customer preferences, purchasing behaviour, and perceptions related to carbonated soft drinks. This research analyses how numerous variables, including gender, affect these preferences and choices via careful examination. The purpose of thepresent research is to determine the perception of consumer influencing customer choice preferences for the consumption of carbonated soft drinks, influence of gender and the role of advertisement in finalizing the choice. It would be helpful to do further research to better understand how these highlighted variables affect purchasing choices, especially gender-based variances. The important influence of gender on consumer behaviour has been acknowledged. For this study, a structured questionnaire was distributed through online social media to individuals of 12–45 years of age from the period of April–May 2023. For analysis of the data collected, SPSS 22.0 was used. The study has confirmed that consumption of Coca-Cola is higher than any other soft drink in almost the entire country. The factors like youthfulness, tradition, status symbol and level of carbonation have different influences on the buying behavior of male and female consumers.

Does sadness bring myopia: an intertemporal choice experiment with college students.

While economics often interprets individual intertemporal choice preferences through the rationality assumption of utility maximization, the reality is that as emotional beings, individuals' preferences for intertemporal behavior are much more diverse and inconsistent. Prior research has predominantly focused on positive or negative emotions based on prospect theory, such as anxiety, anger, disgust, and depression. However, there has been relatively little research on how sadness affects individuals' preferences for immediate and future rewards. In this study, 170 college students are recruited as participants, and their emotions are primed with a video before engaging in an intertemporal task. Covariance analysis and logit regression model are established to examine the main and interactive effects of sadness on individuals' immediate reward preferences. The findings reveal that sadness led individuals to prefer smaller immediate rewards, demonstrating a more myopic behavioral pattern, but didn't affect time discount rate. As the reward baseline increases, sadness's impact on immediate reward preferences is more pronounced, exacerbating individuals' myopic behavior. In conclusion, these findings underscore the importance of considering emotional states in economic decision-making models and suggest avenues for future research to explore the complex dynamics of emotions and intertemporal choices.

Research on Dynamic Scheduling and Route Optimization Strategy of Flex-Route Transit Considering Travel Choice Preference of Passenger

Research on Dynamic Scheduling and Route Optimization Strategy of Flex-Route Transit Considering Travel Choice Preference of Passenger

Rethinking bus ridership dynamics: Examining nonlinear effects of determinants on bus ridership changes using city-level panel data from 2010 to 2019

The decline of bus ridership is increasingly prevalent in cities in both developed and emerging economies around the world. While researchers have made many efforts to explain why choice riders switch to other transportation modes in single-city cases, why cities vary in the performance of maintaining bus ridership is still largely unknown. This study examines the changes in bus ridership among 175 medium and small-sized cities without urban rail transit from 2010 to 2019 in China and links a few determining factors to such changes by deploying fixed effects panel models and piecewise regression models. Both heterogeneity and nonlinear relationships in the dynamics of bus ridership changes are confirmed. The results demonstrate that cities at different development stages perform diversely in maintaining bus ridership, due to the variations in travel demand and travel choice preferences in those contexts. Increased private car ownership and widening income inequity both contribute to bus ridership decline while an expansion of bus fleet sizes is associated with more bus patronage. These relationships are all displayed as nonlinear formats; the effects can diminish when influencing factors reach a certain level during the growth of cities. The research outcomes may inform policymakers that cities at different development stages need to adopt context-based strategies instead of simply copying from elsewhere. Policies such as controlling private car ownership might not work equally well in cities with diversified characteristics.

Perturbations in risk/reward decision making and frontal cortical catecholamine regulation induced by mild traumatic brain injury

Mild traumatic brain injury (mTBI) disrupts cognitive processes that influence risk taking behavior. Little is known regarding the effects of repetitive mild injury (rmTBI) or whether these outcomes are sex specific. Risk/reward decision making is mediated by the prefrontal cortex (PFC), which is densely innervated by catecholaminergic fibers. Aberrant PFC catecholamine activity has been documented following TBI and may underlie TBI-induced risky behavior. The present study characterized the effects of rmTBI on risk/reward decision making behavior and catecholamine transmitter regulatory proteins within the PFC. Rats were exposed to sham, single (smTBI), or three closed-head controlled cortical impact (CH-CCI) injuries and assessed for injury-induced effects on risk/reward decision making using a probabilistic discounting task (PDT). In the first week post-final surgery, mTBI increased risky choice preference. By the fourth week, males exhibited increased latencies to make risky choices following rmTBI, demonstrating a delayed effect on processing speed. When levels of tyrosine hydroxylase (TH) and the norepinephrine reuptake transporter (NET) were measured within subregions of the PFC, females exhibited dramatic increases of TH levels within the orbitofrontal cortex (OFC) following smTBI. However, both males and females demonstrated reduced levels of OFC NET following rmTBI. These results indicate the OFC is susceptible to catecholamine instability after rmTBI and suggests that not all areas of the PFC contribute equally to TBI-induced imbalances. Overall, the CH-CCI model of rmTBI has revealed time-dependent and sex-specific changes in risk/reward decision making and catecholamine regulation following repetitive mild head injuries.

Contraceptive use and method mix dynamics in Sub-saharan Africa: time trends and the influence of the HIV pandemic

BackgroundContraceptive use dynamics continue to be of priority in sub-Saharan Africa because of persistently high levels of fertility. This paper focuses on the use of barrier versus non-barrier contraceptive use in sub-Saharan Africa hypothesizing that the HIV pandemic in the region would be responsible for increases in the use of barrier methods over time.MethodsThis paper uses Demographic and Heath Survey (DHS) data from 32 countries to conduct extensive analysis of trends in contraceptive use and method mix that refers to the distribution of contraceptive methods use among the sexually active population. The paper examines how contraceptive method mix dynamics have changed over time and whether the trends differ by marital status and gender using cross-tabulations. It furthers examines the determinants of method choice using logistic regressions.ResultsThe findings indicate that the use of barrier methods, most markedly for unmarried women and men, rose substantially between the late 1980s and late 2000s in the region in tandem with trends in HIV prevalence. The results further show marked differences in method mix by gender with men being more likely to report barrier method use than women.ConclusionsThe findings indicate shifting preferences in contraceptive choice. The time trend analyses highlight the importance of expanding the focus of contraceptive use studies beyond women in this context as the study finds differing trends for men.Graphical

A special role for anterior cingulate cortex, but not orbitofrontal cortex or basolateral amygdala, in choices involving information.

Subjects are often willing to pay a cost for information. In a procedure that promotes paradoxical choices, animals choose between a richer option followed by a cue that is rewarded 50% of the time (No Info) vs. a leaner option followed by one of two cues that signal certain outcomes: one always rewarded (100%) and the other never rewarded, 0% (Info). Since decisions involve comparing the subjective value of options after integrating all their features, preference for information may rely on cortico-amygdalar circuitry. To test this, male and female rats were prepared with bilateral inhibitory Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) in the anterior cingulate cortex, orbitofrontal cortex, basolateral amygdala, or null virus (control). We inhibited these regions after stable preference was acquired. We found that inhibition of the anterior cingulate cortex destabilized choice preference in female rats without affecting latency to choose or response rate to cues. A logistic regression fit revealed that previous choice predicted current choice in all conditions, however previously rewarded Info trials strongly predicted preference in all conditions except in female rats following anterior cingulate cortex inhibition. The results reveal a causal, sex-dependent role for the anterior cingulate cortex in decisions involving information.

HyperFast: Instant Classification for Tabular Data

Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming. Meanwhile, traditional machine learning methods like gradient-boosting algorithms remain the preferred choice for most tabular data applications, while neural network alternatives require extensive hyperparameter tuning or work only in toy datasets under limited settings. In this paper, we introduce HyperFast, a meta-trained hypernetwork designed for instant classification of tabular data in a single forward pass. HyperFast generates a task-specific neural network tailored to an unseen dataset that can be directly used for classification inference, removing the need for training a model. We report extensive experiments with OpenML and genomic data, comparing HyperFast to competing tabular data neural networks, traditional ML methods, AutoML systems, and boosting machines. HyperFast shows highly competitive results, while being significantly faster. Additionally, our approach demonstrates robust adaptability across a variety of classification tasks with little to no fine-tuning, positioning HyperFast as a strong solution for numerous applications and rapid model deployment. HyperFast introduces a promising paradigm for fast classification, with the potential to substantially decrease the computational burden of deep learning. Our code, which offers a scikit-learn-like interface, along with the trained HyperFast model, can be found at https://github.com/AI-sandbox/HyperFast.

The unified tradeoff model.

Evidence is steadily mounting that attribute-based models offer a more accurate description of intertemporal choices than traditional alternative-based models. Among the attribute-based models, the tradeoff model offers the broadest coverage of research findings, but at the cost of considerable complexity: There now are various instantiations of the model dealing with partially overlapping universes of choice options and preference patterns. Moreover, there are reports of preference patterns in intertemporal decisions about monetary losses that contradict all attribute-based models proposed so far. Taking stock of these core challenges, and all other evidence, we develop an account of intertemporal choice, the unified tradeoff model, that is simpler, yet more comprehensive, than all currently available versions of the tradeoff model taken together. It borrows extensively from its predecessors, but it introduces a new element, time bias, that enables it to accommodate an extraordinarily broad range of preference patterns, and also generate new predictions that contradict all existing models of intertemporal choice. We report four studies that test and confirm its predictions regarding delay, interval, sign, and magnitude dependence in choices between single-dated outcomes, and a fifth study that tests and confirms its predictions regarding the relation between delay preference in choices that only involve single-dated payments and duration preference in choices that also involve sequences of payments. Having subjected the unified tradeoff model to an elevated risk of disconfirmation, we discuss its parsimony and scope in relation to yet other phenomena, most notably, preference patterns in consumption decisions, the final frontier for attribute-based models. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Inequality In Banks

This research paper delves into the challenges people, regardless of their age, face when dealing with money, especially in the context of banks where financial security should be paramount. Money plays a critical role in today's economy as a medium of exchange, unit of account, and store of value, impacting financial planning and security. However, the shift towards online banking has resulted in various errors, financial losses, and data breaches due to user inexperience. The paper suggests that allowing traditional banking as a secondary option could prevent these issues. Traditional banking, with its physical branches and face-to-face interactions, offers benefits such as in-person services, enhanced financial security, and reliable access to loans, making it a preferable choice for many. The research paper aims to shed light on the persistent issues surrounding net banking, or alternatively, the idea of internet banking in general. This may manifest as the person making irrevocable errors or as dishonest behaviour on the part of other parties. Reversal mechanisms, which need to be in place from the beginning, are missing, particularly when it comes to financial matters. When all of the foregoing is fully understood, most consumers would naturally choose a traditional banking option. To save time and money on operating expenses, the banks do not offer this option. The price for this is higher customer service. The larger picture is realising the benefits of traditional banking and banks providing more accessible options to the public rather than restricting them to net banking alone, which leads to issues. Due of the possibility of further issues down the road, these issues are typically experienced by members of the lower middle class who lack access to online banking services and are not technologically aware.