Destination Decision Research Articles

Integrating geometallurgy in the simulation of processing plant responses and applying policy gradient for shovel allocation in operating mining complexes

ABSTRACT Several short-term planning activities of mining complexes must be addressed simultaneously, such as extraction sequence, equipment allocation, digline definition, and destination decisions. Regarding stochastic mine planning, geological attributes and equipment performance uncertainties are more commonly addressed. However, processing response attributes at the ore treatment facilities also have uncertain components. This paper proposes a high-order simulation of processing plant responses given the blended ore attributes. First, it is included in the grade-control digline approach and later applied to a policy gradient-based framework that allocates shovels. A case study at a gold mining complex illustrates the benefits of the proposed approach.

Burden of Non-Protocolized Patient Transport Outside of Response Area on a Rural Emergency Medical Services System

Objectives Transport destination decisions by prehospital personnel depend on a combination of protocols, judgment, patient acuity, and patient preference. Non-protocolized transport outside the service area may result in unnecessary time out of service and inappropriate resource utilization. Scant research exists regarding clinician rationale for destination decisions. Methods We retrospectively reviewed one year of scene transports by a single rural, hospital-based emergency medical services (EMS) system. We collected dispatch, patient demographic, primary impression, and transport data from prehospital records and matched them to emergency department (ED) data. We characterized rationale for transport decisions and compared rates of hospital admission and specialist consultation in the ED as surrogates for decision appropriateness. Results We reviewed 2,223 patient transports, 281 of which were transported out of the service area. The most common reasons for out-of-area transport were patient preference NOT related to prior medical care (40%) and clinician judgment (24%). Admit rates were highest for per protocol (85%) and patient preference related to prior medical care (67%) groups and lowest for no explanation (41%) and clinician judgment (47%) groups. Rates of in person specialist consultation in the ED were highest in per protocol (69%) and clinician judgment (47%) groups and lowest in no explanation (23%) and patient preference NOT related to prior medical care (30%) groups. Clinician judgment was less predictive of admission and specialist consultation for non-trauma and pediatric patients than for all patients. Median time out of service was more than twice as long for out-of-area transports (140 min) compared to patients transported to the nearest facility (62 min). For out-of-area transports discharged from the ED without specialty consultation (n = 104), ambulances traveled an additional 52 miles/patient compared to theoretical transport to nearest facility. Conclusions Unit out of service time more than doubled for non-protocolized transports outside of the service area and rationale for destination decisions variably predicted admission and specialist consultation rates. Patient preference NOT related to prior medical care and, in pediatric and non-trauma populations, clinician judgment, were less predictive of admission and specialist consultation. Transport guidelines should balance rationale for transport destination and patient characteristics with resource preservation, especially in low-resource systems.

Decision as ritual: How power structure affects collective tourism destination decision-making

The optimal destination decision made by a group is the one that perfectly balances group utility maximization with individual satisfaction. The power structure of the group and personal interactions underpinning group decision-making will directly determine individuals’ evaluations of and emotions generated by these decisions. However, research has not sufficiently revealed this pattern, which limits our understanding of how optimal group decisions can be made. By integrating the power perspective with the theory of interactive ritual chains, this study applies the experiential focus group observation method to track the decision-making process. The analysis produces six models of that process, which show how different power structures and leadership influence the joint focus of attention, shared mood and behavioral co-presence in reaching a decision. In summary, leader democracy and effective equality can create a rewarding situation, influencer dominance creates a paradoxical situation, while, multiple leadership, ineffective equality and leader dominance lead to a ritualistic punishment situation.

Using Bourdieu’s concept of habitus to explore higher education decision-making for working class women on an access to higher education course

Despite the increasing number of non-traditional students entering higher education (HE) in England, HE choices remain stratified by social class. Mature working class students are a target group of the widening participation policy, yet little attention has been given to their HE choices and decision-making. Through narrative inquiry, this study uses a creative method alongside focus groups and semi-structured interviews, and contributes a class perspective to the HE decision-making for 13 women on an Access to HE course. It links sociological theory to adult education, through a Bourdieusian framework. It evidences structural constraints and perceptions of belonging that impeded choices. A sense of place and feelings of fit (habitus) were significant for destination decisions. However, Access to HE course teachers were positively influential in helping students challenge embedded habitual ways of thinking and practice and in raising self-efficacy. The findings offer explanations as to why participation rates may be increasing but not widening enough. It illuminates how social class differences (intersected by age and gender) are crucial to understanding HE decision-making and places a much-needed focus on mature students to the widening participation and social mobility agenda.

Choosing culture or nature: How temporal landmarks affect tourism destination preferences

Start and end temporal landmarks are powerful in altering individual perceptions and behavior. However, there has been little research on how temporal landmarks affect tourists' choice of destination. This paper draws on conservation of resources theory in analyzing how temporal landmarks influence tourists' choice of cultural vs. natural destinations. In four studies based on secondary data analyses and experiments, using different operationalizations of temporal landmarks and tourism destinations, and recruiting samples from distinct cultural backgrounds, we show that end temporal landmarks deplete tourists' perceived psychological resources and increase their preference for natural over cultural destinations. However, this effect is mitigated when a tourist has a circular time perspective. This paper contributes to the theoretical literature about temporal landmarks and destination decision-making by showing the effect of temporal landmarks on tourists’ destination preferences. It also provides useful insights for tourism marketers aiming to advertise cultural or natural destinations at the beginning or end of a period.

Factors of Social Networking Influencing Tourists' Destination Selection in Ho Chi Minh City

Objective: The overarching objective of this study is to identify the salient factors within social networks, specifically Facebook, TikTok, Instagram, and YouTube, and their impact on tourists' decision-making processes in selecting Ho Chi Minh City as a destination. Subsequently, we offer managerial recommendations aimed at aiding tourism enterprises in Vietnam to enhance their understanding of the social network components that positively influence tourists' choices to visit. Furthermore, we suggest potential avenues for performance enhancement to optimize advertising effectiveness across social media platforms, including Facebook, TikTok, Instagram, and YouTube. Theoretical Framework: To date, numerous international research endeavors have scrutinized the determinants within social networks that shape tourists' intentions and decision-making processes regarding travel destination selection. However, within the Vietnamese context, scholarly investigations have predominantly centered on factors such as pricing, destination imagery, quality, and allure, while neglecting to explore the influence of social network factors on tourists' decisions regarding destination selection in Ho Chi Minh City. Consequently, the thematic focus on "Factors of Social Networks Influencing Tourists' Destination Selection Decisions in Ho Chi Minh City" represents an evolutionary progression from antecedent research studies, albeit purposefully tailored and refined by the researcher to align with their specific research aims. Method: The quantitative data gathered aimed to systematically examine and comprehend tourists' behaviors in their decision-making processes regarding destination selections facilitated by social media platforms. Employing an online survey hosted on Google Forms facilitated the data collection endeavor. The survey instrument featured a Likert scale spanning from 1 to 5, encompassing response categories delineated as follows: (1) Strongly Disagree, (2) Disagree, (3) Neutral, (4) Agree, and (5) Strongly Agree. Results and Discussion: Following the regression model analysis conducted on a dataset comprising 307 survey samples, the researcher observed the rejection of one initial research hypothesis, denoted as H1, while five subsequent hypotheses, namely H2, H3, H4, H5, and H6, were accepted. This determination was made based on the statistical significance values (Sig.) obtained from the t-test results presented in Table 4.19. Notably, factors with Sig. > 0.05 were deemed lacking in statistical significance, indicating a negligible influence on the dependent variable. Specifically, hypothesis H1, which pertained to the subjective norm factor, was rejected due to its Sig. value exceeding 0.05 (Sig. = 0.651). Conversely, the five accepted hypotheses (H2, H3, H4, H5) all demonstrated Sig. values below 0.05 (Sig. = 0.000). In summary, the study effectively achieves its predetermined objectives by identifying and analyzing five social media factors influencing tourists' destination selection decisions in Ho Chi Minh City. Additionally, the research assesses the magnitude of their impact and examines disparities in research outcomes across different customer segments in Ho Chi Minh City concerning travel destination decisions. Based on these findings, the researcher proposes managerial implications to support tourism businesses in Vietnam intending to utilize social media platforms for advertising. These implications aim to furnish essential insights for selecting and prioritizing key factors when designing advertising campaigns on social media, thereby enhancing brand effectiveness.

Factors of Social Networking Influencing Tourists' Destination Selection in Ho Chi Minh City

Objective: The overarching objective of this study is to identify the salient factors within social networks, specifically Facebook, TikTok, Instagram, and YouTube, and their impact on tourists' decision-making processes in selecting Ho Chi Minh City as a destination. Subsequently, we offer managerial recommendations aimed at aiding tourism enterprises in Vietnam to enhance their understanding of the social network components that positively influence tourists' choices to visit. Furthermore, we suggest potential avenues for performance enhancement to optimize advertising effectiveness across social media platforms, including Facebook, TikTok, Instagram, and YouTube. Theoretical Framework: To date, numerous international research endeavors have scrutinized the determinants within social networks that shape tourists' intentions and decision-making processes regarding travel destination selection. However, within the Vietnamese context, scholarly investigations have predominantly centered on factors such as pricing, destination imagery, quality, and allure, while neglecting to explore the influence of social network factors on tourists' decisions regarding destination selection in Ho Chi Minh City. Consequently, the thematic focus on "Factors of Social Networks Influencing Tourists' Destination Selection Decisions in Ho Chi Minh City" represents an evolutionary progression from antecedent research studies, albeit purposefully tailored and refined by the researcher to align with their specific research aims. Method: The quantitative data gathered aimed to systematically examine and comprehend tourists' behaviors in their decision-making processes regarding destination selections facilitated by social media platforms. Employing an online survey hosted on Google Forms facilitated the data collection endeavor. The survey instrument featured a Likert scale spanning from 1 to 5, encompassing response categories delineated as follows: (1) Strongly Disagree, (2) Disagree, (3) Neutral, (4) Agree, and (5) Strongly Agree. Results and Discussion: Following the regression model analysis conducted on a dataset comprising 307 survey samples, the researcher observed the rejection of one initial research hypothesis, denoted as H1, while five subsequent hypotheses, namely H2, H3, H4, H5, and H6, were accepted. This determination was made based on the statistical significance values (Sig.) obtained from the t-test results presented in Table 4.19. Notably, factors with Sig. > 0.05 were deemed lacking in statistical significance, indicating a negligible influence on the dependent variable. Specifically, hypothesis H1, which pertained to the subjective norm factor, was rejected due to its Sig. value exceeding 0.05 (Sig. = 0.651). Conversely, the five accepted hypotheses (H2, H3, H4, H5) all demonstrated Sig. values below 0.05 (Sig. = 0.000). In summary, the study effectively achieves its predetermined objectives by identifying and analyzing five social media factors influencing tourists' destination selection decisions in Ho Chi Minh City. Additionally, the research assesses the magnitude of their impact and examines disparities in research outcomes across different customer segments in Ho Chi Minh City concerning travel destination decisions. Based on these findings, the researcher proposes managerial implications to support tourism businesses in Vietnam intending to utilize social media platforms for advertising. These implications aim to furnish essential insights for selecting and prioritizing key factors when designing advertising campaigns on social media, thereby enhancing brand effectiveness.

Gen Zers’ Travel-Related Experiential Consumption on Social Media: Integrative Perspective of Uses and Gratification Theory and Theory of Reasoned Action

The purpose of this study is to examine social media influences on travel destination decision behavior among Gen Zers in an integrative theoretical framework of Uses and Gratification Theory and Theory of Reasoned Action. To achieve this goal, this study attempted to answer the following three questions: 1) What motivations drive Gen Zers to plan travel via social media? 2) How are their attitudes toward travel destination content shaped via social media? and 3) What behavioral intentions related to travel destinations are expected on social media? Overall, the proposed integrated model of UGT and TRA achieved a theoretical efficacy to elucidate Gen Zers’ sequenced travel-related experiential consumption behaviors on social media. The findings suggest that escapism needs for self-expansion rather than self-suppression, vicarious-pleasure needs, and information-seeking needs motivate Gen Zers to use social media and form their attitudes toward travel-destination-related content. Moreover, the attitudes formed by that content positively regulates the following behavioral intentions: content-sharing behavior (posting and reposting content), social media following behavior, and tour program purchase. The theoretical and managerial implications are discussed.

Destination transitions and resilience following trigger events and transformative moments

ABSTRACT Disasters and crises are increasingly seen as opportunities for transformation of the tourism system at various scales. From a resilience perspective, crises and disasters may act as trigger events for system change, sometimes described as the “disaster-reform hypothesis”. An integrative framework informed by different fields is used to analyse the destination development pathways following the Kaikōura earthquake in New Zealand. In addition to policy documents and media, the study draws on semi-structured interviews with 21 business owners and managers in the Kaikōura region, an internationally recognised ecotourism destination. The findings show pathway competition, experimentation, scale effects and lock-in influencing transitions. The research identifies interactions between different actors at different levels of governance in shaping destination pathways post-disaster, with external political and economic actors having the most influence. Multiple levels of resilience chart a potentially more resilient destination. The study concludes that the range of potential destination pathways is constrained by decision-making at other scales, e.g. national policy settings and insurance coverage, that affect tourism businesses and destination decision-making. As a result, the notion of transformation should be understood as an essentially contested concept both within a destination and between destination stakeholders and those that operate at a national scale.

Driving forces of social media and its impact on tourists’ destination decisions: a uses and gratification theory

Driving forces of social media and its impact on tourists’ destination decisions: a uses and gratification theory

Influence of Environmental Factors in Determining Tourist Destinations

Tourism is a growing industry in many countries of the world and for many countries it is a potential source of economic growth and employment opportunities. Focusing on Sri Lanka in terms of tourism, tourism is the third largest foreign exchange earner in Sri Lanka. It is important to correctly identify the internal tourist destinations in Sri Lanka, as well as the environmental factors that influence those destinations' decisions, so that development projects can be made. Accordingly, through this study, the environmental factor has been studied in determining the tourist destinations. The three places chosen as the study area of this research are Sinharaja Rainforest in Kalawana Divisional Secretariat Division of Ratnapura District of Sri Lanka, Bopath Ella Waterfall located in Kuruvita Divisional Secretariat Division and Sitawaka Botanical Garden located in Seethawaka Divisional Secretariat Division of Colombo District. The judgment-based method was used to select the three tourist destinations. Also, 120 people were used as a sample for data collection. A simple random sampling method was used. Primary data and secondary data were used for this study. Participant observation, interview method and questionnaire method were used to collect primary data. IBM SPSS-26 version software was used for data analysis and a Binary Logistic model was used to identify how much influence the environmental factor has in determining tourist destinations. Accordingly, it was studied here whether the environmental factor affecting the decision of a tourist destination changes according to variables such as age, gender, marital Status, education level, occupation, income level etc. According to the results of the research, the Chi- square value is 56.435. The P value is statistically significant at the 1% level. That means the P value of the model is 0.000 (P<0.01). That means that the model is statistically significant. That is, according to the independent variables used above, it can be concluded that there is a change in the influence of the environmental factor to determine a tourist destination. In the analysis, the statistical significance of each independent variable was tested by the Wald test, which can identify the effect of each independent variable on the model. Accordingly, it was clear from this research that the variables of profession and education have a significant effect on the environmental factor that affects the decision of a tourist destination. 
 Keywords: Education, Environmental factor, Profession, Tourist destinations

Abstract WP84: The 'When' in Response to BEFAST by EMS

Background: In cases of suspected stroke in prehospital patients, EMS response focuses on rapid assessment and transport. In Arkansas, stroke patients are identified by a unique barcode wristband for tracking and quality assurance. Prehospital stroke screens, such as BEFAST (Balance, Eyes, Face, Speech and Time), may influence destination decisions and transport time. We examined utilization of Stroke as a primary impression, compliance with placing stroke bands, if prehospital BEFAST influenced transport times from First Medical Contact (FMC), and which components were associated with rapid transport. Methods: In a single large urban EMS agency, prehospital care records of suspected stroke from Jan 1 to Dec 31, 2022, were retrospectively evaluated utilizing primary or secondary impression of Stroke or Transient Ischemic Attack (TIA). FMC and BEFAST performance time was noted and time intervals of FMC to BEFAST (FMC2BEFAST) and FMC to Arrival at destination (FMC2Arrival). Protocol compliance was determined by the placement of a stroke band. Time measures and BEFAST normal or abnormal scores were determined by ANOVA and protocol compliance with BEFAST with chi-square analysis. Results: There were 224 EMS transports for Stroke/TIA in 2022. Stroke bands were placed in 54% of patients with Stroke/TIA impressions. Stroke was a primary impression in 13% of transports and a secondary impression in 77% of transports. Patients with abnormal BEFAS(T) were 54, 26, 36, 41 and 60%, respectively. Stroke bands were placed in 61, 65, 69, 27 and 62%, respectively of cases with an abnormal BEFAS(T) (p < 0.018). FMC2Arrival time had a 9 min improvement with stroke band placement (p=0.0021). Patients with abnormal Facial Droop (p=0.043) and Eye Disturbance (p=0.022) had significantly shorter FMC2Arrival times. Abnormal Balance, Arm Drift nor Speech was not associated with shorter FMC2Arrival times (p=NS). Conclusions: Rapid evaluation and transport of suspected stroke patients can be challenging. Identification was low in our single center study, abnormalities in Facial Droop and Eye Disturbances resulted in faster transport time. Improved training on the identification and screening may result in a higher stroke band placement, recognition and rapid transport times.

Abstract WP37: Way Beyond the Call: An Extended Collaborative Feedback Project With EMS

Background/Purpose: Emergency Medical Services (EMS) providers assess, treat and transport patients to destinations that provide the most appropriate emergency care. EMS provides the first crucial link in the chain of survival for patients suffering from life-threatening conditions. Stroke is a time-sensitive emergent condition which requires urgent evaluation, treatment, and expeditious transport to stroke-specialty centers. We noticed that EMS was not providing us with important information that could impact our initial stroke care. Our 21-month collaborative feedback project was created to provide EMS personnel who frequent our Emergency Department (ED) the tools necessary to administer high-quality, expeditious care. Our goal was to improve information provided to the stroke team and ED upon patient arrival by improving and sustaining three metrics by 20% within a 21-month period, by providing feedback to EMS, which include last known well time (LKWT), caregiver contact information (CCI), and mLAPSS documented (mLAPSS). Methods/Implementation: We collaborated with the Beverly Hills Fire Department (BHFD) educators from July of 2021 through March of 2023, providing a continual feedback loop for all EMS runs with an adjudication of stroke and TIA. Our feedback tool included quality metrics with benchmarks determined by the Los Angeles County EMS Agency, in conjunction with the BHFD educators and our team. We performed chart reviews and extracted data pertinent to each run. We summarized the hospital course and disposition for each patient and the feedback tool was distributed to the EMS providers for review. Data was collected and analyzed over seven quarters (Q3 and Q4 of 2021, Q1-Q4 of 2022, and Q1 of 2023, respectively). Results/Conclusions: Sustained improvements were noted in documentation. We achieved 20% improvement in LKWT (from 78% in Q3-Q4 2021, 98% in Q1-4 2022, 98% in Q1 2023), CCI collected (from 29% in Q3-Q4 2021, 75% in Q1-4 2022, 100% in Q1 2023), and mLAPSS completion was 8% improvement (from 89% in Q3-Q4 2021, 97% in Q1-4 2022, 100% in Q1 2023). An unanticipated result of this project was a halo effect of improved destination decisions from EMS. We will continue to track and trend these metrics and work closely with our colleagues in EMS.

Abstract TMP95: Context Matters: Geographic Decision-Making Could Improve Prehospital Stroke Triage

Introduction: Emergency medical services (EMS) play a key role in stroke outcomes, as triage decisions made under diagnostic uncertainty impact availability of time sensitive treatments. Quantifying both time varying effects and uncertainty allows for optimized algorithms to improve destination decisions for stroke patients. We developed a Bayesian model of neurological outcomes and an algorithm for hospital triage based on clinical trials data. Methods: We used data from Virtual International Stroke Trials Archive (VISTA), RACECAT, and FAST-MAG. To model prehospital diagnosis, we included patients with any stroke-like illness (ischemic/hemorrhagic stroke, and mimics). Primary outcome was 90-day modified Rankin scale (mRS). Due to variability in reported measures from each trial, model-based Bayesian imputation was used. Our model accepts time-from symptoms, location, and capability of all local hospitals as inputs. Results: We included 9048 participants with 8600 (95%) ischemic strokes, 1801 (20%) had large vessel occlusion, and 4064 (45%) had a 90-day mRS of 0-2 (good neurologic outcome). We evaluated the impact of our algorithm using 1,320 stroke events from RACECAT. The estimated median absolute difference in chance of good mRS score between bypass and non local hospital bypass was 2.3% (ranging from 0 to 7.4%) among 1,320 stroke events in the RACECAT data set; covariate-adjusted patient scenarios predicted a preference for local hospital bypass of -2.9% to 7.4%. Destination maps for Catalonia show important patterns of bypass optimality. Conclusion: We found that no uniform destination selection approach is likely to be optimal under all circumstances. This finding is important, because it suggests that a personalized approach considering diagnostic uncertainty, patient characteristics, and geospatial factors could outperform simpler approaches. Predicted time-to-treatment targets may be insufficient for appropriate system optimization.

Using Virtual Reality in Tourism Destination Decision: A Young Saudi Tourists’ Perspective with Habit is a Mediator

ABSTRACT This study investigates the impact of Virtual Reality (VR) on Tourist Destination Decision (TDD), surveying 425 participants in Saudi Arabia. We explored the influence of self-efficacy, hedonic motivation, and social influence within the VR context in tourism. Our findings reveal the significant, yet non-dominant role of hedonic motivations and the unexpected prominence of habitual behaviors in TDD. Notably, the study challenges traditional assumptions by highlighting VR’s transformative impact on tourist decisions, diverging from previous research that underplayed technology’s role. This research contributes new insights into the interplay of technology and human behavior in tourism, offering valuable implications for industry practices. It emphasizes the importance of integrating VR into tourism strategies in today’s digital age, signaling a shift in the landscape of tourist decision-making processes. This study investigates the influence of Virtual Reality (VR) on Tourist Destination Decision (TDD) against the backdrop of the digital age, surveying 425 participants from major cities in Saudi Arabia. It uniquely contributes to the existing literature by examining the interplay of factors like self-efficacy, hedonic motivation, social influence, and habitual behaviors within the context of VR and tourism. Contrary to traditional assumptions, our findings reveal that while hedonic motivations are significant, they do not dominate VR-influenced TDD. Instead, habitual behaviors and social influence emerge as more influential. These challenges prevailing perspectives in tourism research and underscore the importance of VR in reshaping tourist decision-making processes. The study’s novelty lies in integrating contemporary technological trends with established tourism theories, thereby offering fresh insights into how technology, particularly VR, interacts with human behaviors in tourism. It also highlights the need for industry adaptation to these technological advancements. In essence, this research provides a foundational understanding of the evolving tourism landscape, marked by the synergy of VR technology and human predispositions, and sets the stage for further exploration into how these factors interplay with various demographic, cultural, and economic contexts.

Decoding digital nomad destination decisions through user-generated content

Digital nomads are engaged in a complex quest to select their next destination. In this context, user-generated content (UGC) on social media is a pivotal source to glean insights into digital nomads' destination choices. Accordingly, this study investigates the principal topics that influence digital nomad's destination choice. To this end, data-mining techniques are applied to analyze user-generated content (UGC) from the social platform X (former Twitter). Based on the results, we identify a total of 11 topics associated with digital nomads' location preferences that can be grouped into 3 clusters (positive, negative, and neutral). Specifically, we find six positive topics (employment, retirement, gastronomy, co-working, work motivation, culture), one neutral topic (customer service), and four negative topics (connectivity, work hours, visa issues, loneliness). The results suggest that job flexibility, the attraction of travel, and cultural immersion emerge as positive factors influencing destination choice. By contrast, connectivity concerns, visa management, feelings of isolation, and emotional adjustments stand out as considerable impediments for digital nomads. We spotlight the long-term pursuit of quality of life and technological connectivity as the main drivers of digital nomads in their destination choice. The paper concludes with a formulation of 33 research questions related to digital nomad destination decisions to be addressed in further research.

Modeling wine consumer typology, motivation, satisfaction and loyalty: Wine tourism destination visitors vs residents in Florida

Diseño/metodología/enfoque (límite 100 palabras)Se realizaron dos estudios para identificar la Tipología del Consumidor de Vino y sus influencias, uno con residentes de un destino enoturístico y otro con sus visitantes. En ambos estudios se llevó a cabo el mismo diseño de encuesta transversal. La encuesta se diseñó utilizando las herramientas de diseño de encuestas de Qualtrics.Objetivo (límite 100 palabras)El estudio identificó la tipología general del consumidor de vino tanto de los visitantes, como de los residentes, así como su tipología específica para un destino vinícola, como el de Florida, e investigó las influencias de estas tipologías en la motivación del consumidor para visitar una bodega en Florida y las influencias de sus motivaciones en su satisfacción con la visita a la bodega y la probabilidad de volver a visitarlaResultados (límite 100 palabras)Los resultados del estudio mostraron una tipología general del consumidor de vino similar tanto para los visitantes, como para los residentes, pero ligeras diferencias en la tipología del consumidor de vino específica del destino. Los resultados también revelaron diferencias en las influencias de estas tipologías sobre la motivación, con distintas influencias sobre la satisfacción y la fidelidad para los dos segmentos.Originalidad/valor (límite 100 palabras)Aunque se ha hablado de tipologías de consumidores en la toma de decisiones y la elección de destinos turísticos, la tipología de consumidores en el consumo de destinos vinícolas ha estado ausente en la literatura. Éste es el primer estudio que identifica tanto la tipología general del consumidor de vino de los visitantes y residentes como su tipología específica para un destino vinícola como el de Florida, e investiga las influencias de estas tipologías en la motivación del consumidor para visitar una bodega en Florida y las influencias de sus motivaciones en su satisfacción con la visita a la bodega y la probabilidad de volver a visitarla.

Sequentially modeling household accommodation, destination, and departure time choices

During evacuations, households make a number of important, related choices including accommodation type, destination, and departure time. They may make trade-offs among these choices where one decision affects the others. The analysis models the linkages among these three aforementioned choices using data from a household behavioral intention survey conducted in 2017 in the Hampton Roads, VA area. Statistical tests and a theoretical basis show that the approach that best fits the dataset was to estimate the three choices in a sequence, where the first decision serves as an independent variable in the next choice process. To model the sequence, we began by modeling accommodation choice using a multinomial logit (MNL) model. Next, the accommodation choice decisions were used with other control variables to estimate destination choice in a second MNL model. Last, evacuation distance (related to destination decisions) was used in a Cox proportional-hazards model to estimate departure time choices. The models that provide the best estimates included the following control variables that help explain the sequence of decisions residents in the Hampton Roads area expect to make: (1) a variable expressing residential stability helps explain accommodation choice; (2) prior evacuation experience, the geographic location of a household, and the duration of living in the area help predict the destination choice; and (3) distance to the chosen destination helps predict departure time. Findings from this study provide evidence that the decisions associated with these three choices influence each other and help emergency managers identify additional actions that potentially can improve the evacuation experiences of local residents.

Understanding the relationships between the family structures and destinations of married migrants with children in China

As China transforms and experiences massive rural-to-urban migration, the destination decisions and family structures of internal migrants have become increasingly diverse. This study investigates how the family structures of married migrants with children relate to the geography of their migration destinations. Our analysis reveals that the family structures of married migrant workers are systematically related to the geography of their migration destinations, with couple migrants relatively more likely to be located in mega cities while entire family migrants are more likely to locate in less developed regions. Furthermore, this study found that migrant workers with different migration paths have distinct preferences for their destinations. Migrant workers who initially migrate with their whole families tend to avoid economically developed areas, whereas those transitioning from lone to couple migration are more inclined to move to developed eastern regions and mega cities. Those finding highlights the importance of family dynamics and social factors in shaping migration decisions, providing a more comprehensive perspective on the factors that influence destination beyond purely economic considerations.

Impacts of climate change knowledge on coastal tourists’ destination decision-making and revisit intentions

Few studies have examined the effects of number of visits and climate change knowledge on coastal tourists' destination choice sets. Further, the theoretically grounded models of coastal tourists' revisit intention under climate change have been rarely explored. Therefore, we adopted a sequential multi-method approach across two studies and investigated the effects of number of visits (first-time vs. repeat tourists) and climate change knowledge on early and late destination consideration sets. We also applied protection motivation theory and a general model of tourist destination choice to examine the effects of coastal tourists' climate change knowledge, hypothetical shifts in destination attractiveness, perceived climate change risks at destinations, and place attachment on revisit intentions. The results from the first study showed that repeat tourists tended to consider more destinations in both early and late consideration sets. There was a difference in the early destination consideration sets between tourists with high and low climate change knowledge, but no difference in the later destination consideration sets between tourists with high and low climate change knowledge. These results are different from the tripographic characteristics of general repeat tourists that previous studies found, and they confirm the importance of climate change knowledge for destination decision-making. In addition, the results from the second study indicated that climate change knowledge was the most important antecedent of revisit intention, followed by hypothetical shifts in destination attractiveness, place attachment, and risk perception. Thus, future efforts to understand tourists’ destination decision-making in the context of climate change should consider climate change-induced cognition-affective aspects as part of knowledge-centered models connecting destination choice with perceived risks. The theoretical and practical implications of our findings are discussed.