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Restorative experiences relieve fatigue or stress, leading people to feel more energetic. Activation theory and the nature–dose framework hold travel duration as a crucial influence on restorative effects, yet these factors may not demonstrate a simple linear relationship. This paper, thus, aims to explore the relationship between travel duration and restoration based on a survey conducted during a seven-day holiday (the longitudinal data spanned two months); and explore the reasons for this relationship and the mechanisms for lasting restorative effects based on diary analysis.

Mixed methods were used in this study. Questionnaires regarding restorative effects were administered to 232 people at six time points before, during and after a holiday. Participants were also asked to keep a diary during their trips. Data were first tested for common method bias and were then processed via independent sample t-tests, analysis of variance and time-series analysis.

Restorative effects were consistently higher in the travel group than in the non-travel group. Additionally, an inverted U-shaped relationship emerged between travel duration and the restorative effects of a holiday; a moderate duration had stronger restorative effects than a duration that was too long or too short. More importantly, the study found that participants who traveled for a moderate duration (longer or shorter) engaged in non-judgmental challenging (relaxing) activities at least once. They also demonstrated greater eudaimonism (hedonism) and stronger, more sustained restoration versus the original set point. In addition, results revealed how travel activities, emotions, moderators and restorative effects were constructed.

Longitudinal data indicated an inverted U-shaped relationship between travel duration and restoration. Achieving lasting restorative effects requires effort and non-judgmental challenging activities for a moderate travel duration and frequency. The study uncovered mechanisms influencing the relationship between travel experiences and restorative effects. The results offer guidance for research on “travel prescriptions” and for the health and stress relief market.

Inverted U-shaped curve for different travel durations and restorative effects at T3.

The non-judgmental challenging group showed lasting and stronger restorative effects over the next two months.

恢复性体验是指从疲劳或压力状态恢复到感觉更好或更有活力的状态。基于激活理论和自然剂量框架, 旅行停留时长是恢复效果的一个关键变量, 但两者之间可能并不是简单的线性关系。本文旨在（1）基于两个月的纵向数据, 探讨固定假期旅行停留时长与恢复效果之间的关系; （2）根据假期日记内容进一步分析以上关系产生的可能原因及达到持久恢复效果的作用关系。

该研究采用了混合方法。在度假前、度假中和度假后的六个纵向时间点, 对232人进行了与恢复效果有关的问卷调查。且参与者在整个假期中每天记日记。对数据进行了常见方法偏倚、独立样本t检验、方差分析和时间序列分析。

（1）在整个调查期间, 旅行组的恢复效果始终高于非旅行组; （2）旅行停留时长与恢复效果之间的关系呈倒U型, 适度的旅行停留时长可以得到更好的恢复效果; （3）适度（太长或太短）旅行停留时长的参与者更多地参与非评判的挑战性（享乐性）的活动, 表现出更大的实现主义（享乐主义）倾向, 并获得了更强、更持久的恢复效果。进一步地, 研究结果揭示了旅游活动类型、情绪、调节变量和恢复性效果之间的作用关系。

纵向数据分析表明旅行停留时长和恢复效果之间呈现倒U型, 要实现持久的恢复效果需要努力参与非评判的挑战性活动。这项研究揭示了旅行体验和恢复效果之间的关系, 研究结果为促进旅游成为健康和压力缓解市场的处方提供了理论基础和实践指导。

Las experiencias reparadoras alivian la fatiga o el estrés, haciendo que las personas se sientan con más energía. La teoría de la activación y el marco naturaleza-dosis sostienen que la duración del viaje es una influencia crucial en los efectos reconstituyentes que provocan en las personas, aunque estos factores pueden no demostrar una relación lineal simple. Así pues, este artículo pretende 1) explorar la relación entre la duración del viaje y la recuperación de las personas, a partir de una encuesta realizada durante unas vacaciones de 7 días (los datos longitudinales abarcaron dos meses); y 2) explorar las razones de esta relación y los mecanismos de los efectos reparadores duraderos a partir del análisis de diarios.

En este estudio se utilizaron métodos mixtos. Se administraron cuestionarios sobre los efectos reconstituyentes a 232 personas en seis momentos antes, durante y después de unas vacaciones. También se pidió a los participantes que llevaran un diario durante sus viajes. En primer lugar, se comprobó que los datos no presentaran sesgos por métodos comunes y, a continuación, se procesaron mediante pruebas t de muestras independientes, análisis de la varianza y análisis de series temporales.

Los efectos reparadores fueron sistemáticamente mayores en el grupo que viajó que en el que no viajó. Además, surgió una relación en forma de U invertida entre la duración del viaje y los efectos reconstituyentes de las vacaciones; una duración moderada tuvo efectos reparadores más fuertes que una duración demasiado larga o corta. Por último, los participantes que viajaron durante una duración moderada (más larga o más corta) realizaron más actividades estimulantes no perjudiciales (relajantes). También demostraron un mayor eudaimonismo (hedonismo) y una recuperación más fuerte y sostenida en comparación con el punto de partida inicial. Los resultados revelaron cómo se relacionaban las actividades de viaje, las emociones, los moderadores y los efectos reparadores.

Los datos longitudinales indicaron una relación en forma de U invertida entre la duración del viaje y la recuperación de las personas. Lograr efectos reparadores duraderos requiere esfuerzo y actividades para una duración moderada del viaje. El estudio descubrió mecanismos que influyen en la relación entre las experiencias de viaje y los efectos reconstituyentes. Los resultados ofrecen orientaciones para la investigación sobre las “recetas de viaje” y para el mercado de la salud y el alivio del estrés.

The goals of this review are to identify key theories, constructs and themes in the international business travel (IBT) literature and to propose a model based on findings, theories and constructs drawn from adjacent research literature.

The authors reviewed the business travel (BT) literature to identify conceptual and empirical articles on IBT published from 1990 to 2022. Only 53 publications were suitable for review. The authors reviewed them using an open coding system.

The IBT literature is dispersed across several disciplines that use different methods, focus on different aspects of travel and emphasize different positive and negative outcomes that IBT engenders. The publications employed a diverse range of methods, including review and conceptual (11), quantitative (28) and qualitative methods (14). The samples were diverse in country, age, marital status and tenure. Many publications were descriptive and exploratory. The few that based their research on theory focused on two stress theories: Job Demands-Resources (JD-R) theory and conservation of resources (COR) theory.

Experimental and longitudinal designs are needed to reduce the causal ambiguity of this body of mostly correlational and cross-sectional research. The authors discuss the impact of emerging advances in virtual global communication technology on the future of IBT.

More research is needed on positive aspects of IBT. Human resource (HR) people should be aware of these issues and are encouraged to decrease the deleterious aspects of the international trips and increase the positive ones.

Increasing well-being of international business travelers is important for the travelers, their families and the organization.

This is the first IBT review focused on the theoretical underpinnings of research in the field. The authors offer a model for IBT and introduce adjustment and performance as important constructs in IBT research. The authors encompass crossover theory to add the reciprocal impact of travelers and spouses and label IBT a “double-edge sword” because it arouses both positive and negative outcomes.

In this paper, I explore what shapes the identities of digital nomads (DNs), a class of remote workers who travel and work concurrently. Through extensive fieldwork and interviews with 50 digital nomads conducted in seven coworking hostels in Mexico in 2022, I construct a theory of DN identity. I base this upon the frequent transformations they undergo in their Circumstances, which regularly change their worker identity.

DNs relinquish traditional social determinants of identity, such as nationality and religion. They define their personal identities by their passions and interests, which are influenced by the people they meet. DNs exist in inherently transitive social spaces and, without rigid social roles to fulfil, they represent themselves authentically. They form close relationships with other long-term travellers to combat loneliness and homesickness. Digital nomads define their worker identities around their location independence. This study shows that DNs value their nomadic lifestyle above promotions and financial gain. They define themselves by productivity and professionalism to ensure the sustainability of their lifestyle. Furthermore, digital nomad coworking hubs serve focused, individual work, leaving workplace politics and strict ‘office image’ norms behind. Without fixed social and professional roles to play, digital nomads define themselves personally according to their ever-evolving passions and the sustainability of their nomadic life. Based on these findings, I present a cyclical framework for DN identity evolution which demonstrates how relational, logistical, and socio-personal flux evolves DN’s worker identities.

The paper aims to provide an efficient dispatching schedule for ready-mix concrete (RMC) trucks and create a balance between batch plants and construction sites.

The paper focused on developing a new metaheuristic swarm intelligence algorithm using Java code. The paper used statistical criterion: mean, standard deviation, running time to verify the effectiveness of the proposed optimization method and compared its derivatives with other algorithms, such as genetic algorithm (GA), Tabu search (TS), bee colony optimization (BCO), ant lion optimizer (ALO), grey wolf optimizer (GWO), dragonfly algorithm (DA) and particle swarm optimization (PSO).

The paper proved that integrating GWO and DA yields better results than independent algorithms and some selected algorithms in the literature. It also suggests that multi-independent batch plants could effectively cooperate in a system to deliver RMC to various construction sites.

The paper provides a compelling new hybrid swarm intelligence algorithm and a model allowing multi-independent batch plants to work in a system to deliver RMC. It fulfills an identified need to study how batch plant managers can expand their dispatching network, increase their competitiveness and improve their supply chain operations.

Women's travel pattern is different from those of men. Women who have both paid employment and unpaid care work have more complex travel patterns. However, land-use policies and urban mobility strategies in the Egyptian context do not consider these differences. This paper analyzes and discusses the travel patterns of the Egyptian working women with children. It examines the difference between men's and women's travel behavior in different income levels. The paper aims at determining the main factors that affect working women's travel patterns within the care economy framework and suggesting recommendations for enhancing women's travel patterns in Greater Cairo Region (GCR).

The methodology relies on conducting a quantitative and qualitative analysis using questionnaires and interviews with working women and men from different social/economic levels in two different workplaces in GCR.

The results demonstrate that income level, workplace locations, schools locations, and schools typologies greatly affect working women's travel patterns in GCR.

The study findings will help urban planners and decision-makers to improve working women's mobility to make their daily trips shorter and more accessible to achieve equitable cities through understanding the conducted affecting factors and considering the suggested recommendations.

This paper aims to address a pollution-routing problem with one general period of congestion (PRP-1GPC), where the start and finish times of this period can be set freely.

In this paper, three sets of decision variables are optimized, namely, travel speeds before and after congestion and departure times on given routes, aiming to minimize total cost including green-house gas emissions, fuel consumption and driver wages. A two-phase algorithm is introduced to solve this problem. First, an adaptive large neighborhood search heuristic is used where new removal and insertion operators are developed. Second, an analysis of optimal speed before congestion is presented, and a tailored speed-and-departure-time optimization algorithm considering congestion is proposed by obtaining the best node to be served first over the congested period.

The results show that the newly developed operator of congested service-time insertion with noise is generally used more than other insertion operators. Besides, compared to the baseline methods, the proposed algorithm equipped with the new operators provides better solutions in a short time both in PRP-1GPC instances and time-dependent pollution-routing problem instances.

This paper considers a more general situation of the pollution-routing problem that allows drivers to depart before the congestion. The PRP-1GPC is better solved by the proposed algorithm, which adds operators specifically designed from the new perspective of the traveling distance, traveling time and service time during the congestion period.

To succeed in a competitive tourist market and attract more foreign tourists, it is essential to have a clear understanding of what travellers are seeking and endeavour to meet those needs, as well as key influential factors in their travel decision-making process. The purpose of the study is to develop and examine tourists’ pre-trip motivational model using the push–pull theory.

A tourists’ pre-trip motivational model was developed and then tested based on a sample of 320 Chinese and non-Chinese visitors to Melbourne, Australia, to assess the suitability of the new model. Data were analysed by descriptive and inferential statistical techniques, such as principal component analysis and independent T-tests.

The analysis revealed statistically significant differences between studied samples in terms of the push and pull factors. In comparison with non-Chinese tourists, Chinese visitors to Melbourne assigned higher importance to resting and relaxing opportunities, family-oriented activities, as well as safety and a high level of service. The identified differences should be reflected in marketing and promotional activities provided to Chinese and non-Chinese travellers.

The study provides useful information for Destination Marketing Organisations in tourism cities wanting to develop specifically customised tourist products, services and promotion programs tailored to each market.

The proposed extended push–pull model represents a holistic and complex model of the travel decision-making process with the multiple linkages between motivations for travelling, preferences of destination attributes, information source usage, trip expectations, possible constraints for travelling and evaluation of destination choice criteria. Understanding all these factors, their relationship and their influence on the final destination choice is a prerequisite for effective and successful actions on attraction and retention of visitors for all tourist destinations. The developed tourists’ pre-trip motivational model may be used as a conceptual framework to guide subsequent motivational studies in tourism.

Digital credit is spreading rapidly across Sub-Saharan Africa and holds potential for financial inclusion and female financial autonomy. Women in developing economies have long been targeted by microfinance institutions due to the women’s reliability and positive spillover effects. Yet, adoption rates for digital financial innovations remain moderate among rural women in Sub-Saharan Africa. The authors explore whether female preferences for digital and conventional credit differ from males.

The authors conduct a Discrete Choice Experiment with 420 smallholder farmers in central Madagascar, one of the region's poorest countries, to assess preferences for selected digital and conventional credit attributes.

Results of the mixed logit model and the comparison of the willingness-to-pay via Poe-test suggest high general demand for both credit forms. The demand of female respondents is higher than that of males, suggesting that they might be underserved. This holds for both credit forms. However, differences in willingness to pay for the credit attributes are mostly not statistically significant, indicating that designing gender-specific services may not be advisable.

This article is believed to be the first to assess and compare gendered willingness to pay for digital and conventional credit. The study’s findings give valuable insights to decision-makers in development politics as well as the fintech industry.

This study aims to investigate the US cruise market by analyzing industry trends and consumer psychology. COVID-19 has coexisted with human beings for more than two years, and scientists claim that human beings will continuously live with the virus for a long time. Nowadays, cruise tourism and the COVID-19 pandemic studies are still popular in both academia and the industry, and cruise industry trends and market investigations are expected by consumers and investors. The purpose of this study is to investigate the US cruise market and provide a comprehensive market overview for 2022, especially regional comparisons of consumer perceptions. This study identified consumers' preferences, including cruise duration, cruise line, travel season, and travel experience. Regional impacts were assessed by comparing the Agreement scores, and the southern region's residents show higher intention and a more positive attitude toward cruise travel. Finally, theoretical and managerial implications, limitations, and future research directions are discussed.

A wide number of technologies are currently in store to harness the challenges posed by pandemic situations. As such diseases transmit by way of person-to-person contact or by any other means, the World Health Organization had recommended location tracking and tracing of people either infected or contacted with the patients as one of the standard operating procedures and has also outlined protocols for incident management. Government agencies use different inputs such as smartphone signals and details from the respondent to prepare the travel log of patients. Each and every event of their trace such as stay points, revisit locations and meeting points is important. More trained staffs and tools are required under the traditional system of contact tracing. At the time of the spiralling patient count, the time-bound tracing of primary and secondary contacts may not be possible, and there are chances of human errors as well. In this context, the purpose of this paper is to propose an algorithm called SemTraClus-Tracer, an efficient approach for computing the movement of individuals and analysing the possibility of pandemic spread and vulnerability of the locations.

Pandemic situations push the world into existential crises. In this context, this paper proposes an algorithm called SemTraClus-Tracer, an efficient approach for computing the movement of individuals and analysing the possibility of pandemic spread and vulnerability of the locations. By exploring the daily mobility and activities of the general public, the system identifies multiple levels of contacts with respect to an infected person and extracts semantic information by considering vital factors that can induce virus spread. It grades different geographic locations according to a measure called weightage of participation so that vulnerable locations can be easily identified. This paper gives directions on the advantages of using spatio-temporal aggregate queries for extracting general characteristics of social mobility. The system also facilitates room for the generation of various information by combing through the medical reports of the patients.

It is identified that context of movement is important; hence, the existing SemTraClus algorithm is modified by accounting for four important factors such as stay point, contact presence, stay time of primary contacts and waypoint severity. The priority level can be reconfigured according to the interest of authority. This approach reduces the overwhelming task of contact tracing. Different functionalities provided by the system are also explained. As the real data set is not available, experiments are conducted with similar data and results are shown for different types of journeys in different geographical locations. The proposed method efficiently handles computational movement and activity analysis by incorporating various relevant semantics of trajectories. The incorporation of cluster-based aggregate queries in the model do away with the computational headache of processing the entire mobility data.

As the trajectory of patients is not available, the authors have used the standard data sets for experimentation, which serve the purpose.

This paper proposes a framework infrastructure that allows the emergency response team to grab multiple information based on the tracked mobility details of a patient and facilitates room for various activities for the mitigation of pandemics such as the prediction of hotspots, identification of stay locations and suggestion of possible locations of primary and secondary contacts, creation of clusters of hotspots and identification of nearby medical assistance. The system provides an efficient way of activity analysis by computing the mobility of people and identifying features of geographical locations where people travelled. While formulating the framework, the authors have reviewed many different implementation plans and protocols and arrived at the conclusion that the core strategy followed is more or less the same. For the sake of a reference model, the Indian scenario is adopted for defining the concepts.