Long-term Travel Research Articles

56Fe-ion Exposure Increases the Incidence of Lung and Brain Tumors at a Similar Rate in Male and Female Mice.

The main deterrent to long-term space travel is the risk of Radiation Exposure Induced Death (REID). The National Aeronautics and Space Administration (NASA) has adopted Permissible Exposure Levels (PELs) to limit the probability of REID to 3% for the risk of death due to radiation-induced carcinogenesis. The most significant contributor to current REID estimates for astronauts is the risk of lung cancer. Recently updated lung cancer estimates from Japan's atomic bomb survivors showed that the excess relative risk of lung cancer by age 70 is roughly fourfold higher in females compared to males. However, whether sex differences may impact the risk of lung cancer due to exposure to high charge and energy (HZE) radiation is not well studied. Thus, to evaluate the impact of sex differences on the risk of solid cancer development after HZE radiation exposure, we irradiated Rbfl/fl, Trp53fl/+ male and female mice infected with Adeno-Cre with various doses of 320 kVp X rays or 600 MeV/n 56Fe ions and monitored them for any radiation-induced malignancies. We conducted complete necropsy and histopathology of major organs on 183 male and 157 female mice after following them for 350 days postirradiation. We observed that lung adenomas/carcinomas and esthesioneuroblastomas (ENBs) were the most common primary malignancies in mice exposed to X rays and 56Fe ions, respectively. In addition, 1 Gy 56Fe-ion exposure compared to X-ray exposure led to a significantly early incidence of lung adenomas/carcinomas (P = 0.02) and ENBs (P < 0.0001) in mice. However, we did not find a significantly higher incidence of any solid malignancies in female mice as compared to male mice, regardless of radiation quality. Furthermore, gene expression analysis of ENBs suggested a distinct gene expression pattern with similar hallmark pathways altered, such as MYC targets and MTORC1 signaling, in ENBs induced by X rays and 56Fe ions. Thus, our data revealed that 56Fe-ion exposure significantly accelerated the development of lung adenomas/carcinomas and ENBs compared to X rays, but the rate of solid malignancies was similar between male and female mice, regardless of radiation quality.

Human gut microbiota composition associated with international travels

ObjectiveThe objective of this study was to evaluate whether long stays in non-European countries influence the composition, diversity, and dynamics of gut microbiota, considering the potential impact of travelling, close contact with new people, and consumption of water and food. MethodsTwo prospective cohorts were analyzed: (i) A longitudinal cohort comprising long-term travellers who provided fecal samples before and after their travels. (ii) A cohort consisting of long-term travellers and recently arrived migrants from non-European countries, which was compared with non-traveller controls. Each participant self-collected fecal samples and provided demographic and epidemiological data. Microbiota was characterized through 16 S rRNA gene sequencing. ResultsThe longitudinal cohort comprised 17 subjects. A trend toward higher bacterial diversity was observed after travelling (Shannon index 3.12vs3.26). When comparing 84 travellers/migrants with 97 non-travellers, a confirmed association of higher diversity levels with travelling was observed (Phylogenetic diversity: 22.1vs20.9). Specific genera enriched in travellers' gut microbiota were identified, including Escherichia/Shigella, Bacteroides, and Parabacteroides. The analysis revealed three major clusters with profound differences in their bacterial composition, which exhibited differential distribution between travellers and non-travellers (Adonis P < 0.001; R2 = 30.6 %). Two clusters were more frequently observed in travellers: The first cluster, characterized by dominance of Escherichia/Shigella, exhibited the lowest levels of richness and diversity. The second cluster, dominated by Faecalibacterium and Bacteroides, displayed the highest richness and diversity patterns. ConclusionThese findings highlight the diverse impact of international travel on gut microbiota composition and underscore the importance of considering microbiota resilience and diversity in understanding the health implications.

Short-Term and Long-Term Travel Time Prediction Using Transformer-Based Techniques

In the evolving field of Intelligent Transportation Systems (ITSs), accurate and reliable traffic prediction is essential in enhancing management and planning capabilities. Accurately predicting traffic conditions over both short-term and long-term intervals is vital for the practical application of ITS. The integration of deep learning into traffic prediction has proven crucial in advancing traffic prediction beyond traditional approaches, particularly in analyzing and forecasting complex traffic scenarios. Despite these advancements, the existing methods are unable to effectively handle both short-term and long-term traffic patterns given their complex nature, revealing a need for more comprehensive forecasting solutions. To address this need, we propose a new approach named the Short-Term and Long-Term Integrated Transformer (SLIT). SLIT is a Transformer-based encoder–decoder architecture, designed for the effective prediction of both short-term and long-term travel time durations. The architecture integrates the Enhanced Data Preprocessing (EDP) with the Short-Term and Long-Term Integrated Encoder–Decoder (SLIED). This harmonious combination enables SLIT to effectively capture the complexities of traffic data over varying time horizons. Extensive evaluations on a large-scale real-world traffic dataset demonstrate the excellence of SLIT compared with existing competitive methods in both short- and long-term travel time predictions across various metrics. SLIT exhibits significant improvements in prediction results, particularly in short-term forecasting. Remarkable improvements are observed in SLIT, with enhancements of up to 9.67% in terms of all evaluation metrics across various time horizons. Furthermore, SLIT demonstrates the capability to analyze traffic patterns across various road complexities, proving its adaptability and effectiveness in diverse traffic scenarios with improvements of up to 10.83% in different road conditions. The results of this study highlight the high potential of SLIT in significantly enhancing traffic prediction within ITS.

One year follow-up and literature review of three young-age cases with high risk pulmonary thromboembolism

High-risk pulmonary thromboembolism (PTE) is an emergency clinical condition with high mortality. High-risk pulmonary thromboembolism is generally seen in immobile patients, elderly, have malignancies, and have a long-term travel history. Our aim here is to emphasize that high-risk pulmonary thromboembolism may also occur in young patients. Considering the symptoms and risk factors such as oral contraceptive use, obesity, and operation history, PTE can be detected with Pulmonary Computed Tomography-Angiography (CTPA) or Ventilation Perfusion Scintigraphy (V/Q) when necessary. It should be verified that it is not. Genetic mutation, obesity, oral contraceptive use, and previous operation history were accepted as risk factors in the young patients we treated and followed up with high-risk Pulmonary Thromboembolism presented here. After the diagnosis of pulmonary thromboembolism was made at the first stage in our patients who applied to the emergency department, the risk group was determined by taking into account the current guidelines. Three patients considered to be at high risk were evaluated for thrombolytic therapy. Two patients without contraindications were given a full dose, and one patient was given a half dose of thrombolytic. After being monitored in intensive care for the first 24 hours, they were taken to the service. Due to their young age (&lt;45 years), their thrombophilia panel was checked. Anticoagulant treatments were started and follow-ups were planned at 3 months, 6 months, and 1 year after discharge. During the follow-up visits, CTPA, echocardiography (ECHO), and lower extremity Doppler ultrasound imaging were performed.

Periodic Transformer Encoder for Multi-Horizon Travel Time Prediction

In the domain of Intelligent Transportation Systems (ITS), ensuring reliable travel time predictions is crucial for enhancing the efficiency of transportation management systems and supporting long-term planning. Recent advancements in deep learning have demonstrated the ability to effectively leverage large datasets for accurate travel time predictions. These innovations are particularly vital as they address both short-term and long-term travel demands, which are essential for effective traffic management and scheduled routing planning. Despite advances in deep learning applications for traffic analysis, the dynamic nature of traffic patterns frequently challenges the forecasting capabilities of existing models, especially when forecasting both immediate and future traffic conditions across various time horizons. Additionally, the area of long-term travel time forecasting still remains not fully explored in current research due to these complexities. In response to these challenges, this study introduces the Periodic Transformer Encoder (PTE). PTE is a Transformer-based model designed to enhance traffic time predictions by effectively capturing temporal dependencies across various horizons. Utilizing attention mechanisms, PTE learns from long-range periodic traffic data for handling both short-term and long-term fluctuations. Furthermore, PTE employs a streamlined encoder-only architecture that eliminates the need for a traditional decoder, thus significantly simplifying the model’s structure and reducing its computational demands. This architecture enhances both the training efficiency and the performance of direct travel time predictions. With these enhancements, PTE effectively tackles the challenges presented by dynamic traffic patterns, significantly improving prediction performance across multiple time horizons. Comprehensive evaluations on an extensive real-world traffic dataset demonstrate PTE’s superior performance in predicting travel times over multiple horizons compared to existing methods. PTE is notably effective in adapting to high-variability road segments and peak traffic hours. These results prove PTE’s effectiveness and robustness across diverse traffic environments, indicating its significant contribution to advancing traffic prediction capabilities within ITS.

Imported Buruli ulcer-is there risk for travellers?

Transmission routes of Mycobacterium ulcerans to humans are not clear, but the predominance of long-term travellers and migrants in imported cases reflect possible prolonged exposures to specific factors in rural environments. Buruli ulcer should always be considered in cases of non-healing ulcers, even if other infectious agents are identified initially.

Prevalence and Risk Factors for Colonization by Multidrug-Resistant Microorganisms among Long-Term Travelers and Recently Arrived Migrants.

Multidrug-resistant (MDR) bacteria have become one of the most important health problems. We aimed to assess whether international travel may facilitate their spread through the colonization of asymptomatic travelers. A cross-sectional study was conducted (November 2018 to February 2022). Pharyngeal and rectal swabs were obtained from long-term travelers and recently arrived migrants from non-European countries, and an epidemiological survey was performed. Colonization by Gram-negative bacteria and methicillin-resistant Staphylococcus aureus (MRSA) was determined by chromogenic media and MALDI-TOF-MS. Resistance mechanisms were determined by the biochip-based molecular biology technique. Risk factors for colonization were assessed by logistic regression. In total, 122 participants were included: 59 (48.4%) recently arrived migrants and 63 (51.6%) long-term travelers. After their trip, 14 (11.5%) participants-5 (8.5%) migrants and 9 (14.3%) travelers-had rectal colonization by one MDR bacterium. Escherichia coli carrying the extended-spectrum beta-lactamase (ESBL) CTX-M-15 was the most frequent. No participants were colonized by MRSA or carbapenemase-producing Enterobacteriaceae. The only risk factor independently associated with MDR bacterial colonization was previous hospital attention [OR, 95% CI: 10.16 (2.06-50.06)]. The risk of colonization by MDR bacteria among recently arrived migrants and long-term travelers is similar in both groups and independently associated with previous hospital attention.

TOD effects on travel behavior: A synthesis of evidence from cross-sectional and longitudinal studies

The impacts of transit-oriented development (TOD) on travel behavior have been extensively studied, with a predominant focus on cross-sectional analyses that provide a static evaluation at a specific point in time by comparing TODs and non-TODs. Longitudinal assessments that capture changes in behavior over time remain relatively uncommon, and the literature tends to overlook differences in evaluating TOD effects across cross-sectional and longitudinal analyses. Additionally, the role of trip purpose as a significant but unexplored variable influencing the degree of TOD effects is often disregarded. To address these gaps, this systematic review examines 48 quantitative studies, comparing the effects of TOD on travel behavior from cross-sectional and longitudinal perspectives, restructuring indicators of effects into transit use, non-motorized travel, vehicle dependence, and vehicle ownership, and differentiating the effects by trip purpose. A metric has been introduced to quantitatively assess the impact of TOD on travel behavior. The pooled results indicate that private vehicle usage remains high in TOD areas, particularly for non-commuting trips, and that the longitudinal effects of TOD are limited and potentially influenced by individual travel attitudes, residential self-selection, and long-term travel habit change. Furthermore, the methodological differences between cross-sectional and longitudinal studies may lead to divergent conclusions regarding the effects of TOD on travel behavior. Our analysis sheds light on the importance of carefully selecting an appropriate method for a given research question to maximize the accuracy and relevance of the findings. Combining TOD and shared mobility can create a more efficient multi-model transport network that meets the diverse needs of city residents and improves accessibility for all. Overall, this review provides new insights into the impacts of TOD on travel behavior and supports the potential for a paradigm shift toward multimodal transport through the integration of TOD and shared mobility.

The role of household energy consumption behavior in environmental policy outcomes —the case of driving restriction policy in zhengzhou

The evaluation of the environmental effects of the driving restriction policy often sparks widespread discussions in the literature due to its complex and controversial assessment methods. Fewer studies have delved into the exploration of household energy consumption behavior, the role played by the targeted subjects of policy implementation, and the policy's impact on climate change. This paper focuses on the case of Zhengzhou, a city in China, to thoroughly discuss the formulation process of the driving restriction policy. By utilizing publicly available statistical data and conducting surveys among 795 households, this research employs statistical methods such as regression discontinuity, difference-in-differences estimation, and improved causal stepwise regression to quantitatively estimate the environmental consequences of the driving restriction policy. It also examines the impact of changes in residents' consumption behavior on policy effects and climate change under this policy shock. The study aims at bridging the gap between environmental policy effects, individual behavior changes, and climate change research. Our findings indicate that the driving restriction policy is effective in the short term, significantly improving air quality. However, due to the stickiness of residents' household consumption behavior and the adaptive adjustments in long-term travel behavior, the pollution-reducing effects of the policy gradually weaken and even exacerbate air pollution, resulting in an additional increase of approximately 147,950 tons of carbon dioxide emissions after the policy had been implemented for nine months. Therefore, this paper further suggests that implementing environmental policies requires close coordination with adjustments in household energy consumption behavior.

Campervans Community Lifestyle in Bandung: A Case Study in Environmental Communication

Travel has evolved from mere tourism to mass tourism, focusing on leisure and recreational experiences. Nature-based tourism has become popular. Indonesia ranks 32 out of 117 in the Travel and Tourism Development Index, but limited accommodation options hinder its growth. The Ministry of Tourism plans to introduce campervans in 2022 to improve tourism quality. Therefore, research titled "Campervans Community Lifestyle in Bandung: A Case Study in Environmental Communication" is made, aiming to know the lifestyle of campervans community in Bandung as a case study in environmental communication. The research explores the campervan lifestyle in Bandung, a unique mode of transportation with various options for short-term and long-term travel. Despite its origins outside Indonesia, the lifestyle benefits society, and its adopters. However, the government in Bandung does not fully acknowledge or encourage it, leading to a demand for expedited permits and improved amenities

Three-Dimensional Particle Tracing Analysis of a Rotational Magnetic Sail

A magnetic sail is a propellantless propulsion system that has great potential in long-term space travel. It utilizes the interaction between the solar wind and the magnetic field generated by a high-current coil. However, the requirement of a large-sized coil with a high working current limits its practical application. To reduce the coil size while maintaining the thrust, a rotational magnetic sail is proposed and analyzed using the three-dimensional particle tracing method. The results show that the magnetic sail thrust significantly increases with the rotational speed and is influenced by plasma parameters. Moreover, the sail achieves the maximum thrust and the most stable attitude when the magnetic moment vector is perpendicular to the particle impact direction. The analysis implies that the rotational magnetic sail can shrink to about a minimum of 20% and approximately 1% of the size of a static magnetic sail in the solar wind and low Earth orbit, respectively, while maintaining the same thrust.

The travel-related impacts of telecommuting: An active learning-based systematic review

This study provides a systematic review of the literature on the travel-related impacts of telecommuting. We searched for empirical studies that discuss telecommuting’s impacts on transport-related topics using the Web of Science, Transport Research International Documentation, Scopus, and ProQuest. Fifty-eight out of 1,609 studies were selected for full-text review based on an active learning approach. Four domains of travel-related impacts were identified: travel demand, location choice, emissions and energy consumption, and mode choice. Though the literature gives mixed conclusions on a variety of topics, causal analysis and meta-analysis indicates that telecommuting has a complementary effect on travel demand and promotes urban sprawl. Further exploration of the interaction between telecommuting and COVID-19 calls for attention to collect long-term travel data for future research as the pandemic fully recedes and travel behavior gradually stabilizes into a new normal. Policymakers should be aware of the possible changes in travel behavior and location choice in the post-pandemic era and implement timely incentive programs or regulatory measures to respond to such changes and promote sustainability.

High-altitude balloon platform for studying the biological response of living organisms exposed to near-space environments

The intangible desire to explore the mysteries of the universe has driven numerous advancements for humanity for centuries. Extraterrestrial journeys are becoming more realistic as a result of human curiosity and endeavors. Over the years, space biology research has played a significant role in understanding the hazardous effects of the space environment on human health during long-term space travel. The inevitable consequence of a space voyage is space ionizing radiation, which has deadly aftereffects on the human body. The paramount objective of this study is to provide a robust platform for performing biological experiments within the Earth's stratosphere by utilizing high-altitude balloons. This platform allows the use of a biological payload to simulate spaceflight missions within the unique properties of space that cannot be replicated in terrestrial facilities. This paper describes the feasibility and demonstration of a biological balloon mission suitable for students and scientists to perform space biology experiments within the boundary of the stratosphere. In this study, a high-altitude balloon was launched into the upper atmosphere (∼29 km altitude), where living microorganisms were exposed to a hazardous combination of UV irradiation, ultralow pressure and cold shock. The balloon carried the budding yeast Saccharomyces cerevisiae to investigate microbial survival potential under extreme conditions. The results indicated a notable reduction in biosample mortality two orders of magnitude (2-log) after exposure to 164.9 kJ m−2 UV. Postflight experiments have shown strong evidence that the effect of UV irradiation on living organisms is stronger than that of other extreme conditions.

Seroprevalence of dengue, Japanese encephalitis and Zika among long-term expatriates in Thailand.

Travel to Southeast Asia increases the likelihood of acquiring mosquito-borne Flavivirus infections such as dengue (DENV), Japanese encephalitis (JEV) and Zika viruses (ZIKV). Expatriates are long-term travellers who have a higher risk of mosquito-borne illness at their destination country. The purpose of this study was to evaluate the seroprevalence of DENV, JEV and ZIKV infections and the determinants contributing to seropositivity among expatriates living in Thailand. A cross-sectional study was performed from December 2017 to February 2020. Expatriates from non-Flavivirus endemic countries were recruited. 5mL of blood was collected for DENV 1-4, JEV and ZIKV antibody testing by plaque reduction neutralization test (PRNT50). Individuals with vaccination histories or diagnoses for dengue, Japanese encephalitis, yellow fever and tick-borne encephalitis were excluded. Among 254 participants, most participants (83.1%) were male, the mean age was 65years and the median duration of stay in Thailand was 6years. Seroprevalence rate of any Flavivirus, non-specific DENV, DENV1-4, JEV and ZIKV were 34.3, 30.7, 20.5, 18.1, 18.9, 10.6, 4.7 and 2.8%, respectively. The presence of neutralizing antibodies against DENV1-4 positively correlates with the duration of stay in Thailand. DENV seropositivity was associated with living in urban areas (aOR 2.75, 95% CI 1.36-5.57). Expatriates were unlikely to have detectable anti-JEV antibodies regardless of time spent in a JEV-endemic area. No risk factors were identified that were significantly associated with JEV or ZIKV seropositivity. Only 48.4% received pre-travel counselling services, while only 18.9% visited a travel medicine specialist. A high proportion (34.3%) of long-term expatriates living in Thailand were seropositive for flavivirus, mainly from dengue (30.7%). To minimize risk, travel medicine practitioners should provide adequate pre-travel health risk information on mosquito-borne flavivirus infection and offer advice on mosquito bite prevention strategies. Dengue vaccine might be considered in high-risk travellers such as long-term expatriate.

An empirical study on the stochastic long-term travel demands of a large-scale metro network

The widely-existed uncertainty of origin–destination (OD) demand in transportation networks has attracted extensive attention. Most characterizations or modeling of stochastic OD demands in networks assume a homogenous probability distribution, but it lacks empirical studies of large-scale networks to justify this assumption. Given that the long-term continuous automatic fare collection data of metro networks can provide complete OD passenger demand information, this study takes the Shanghai Metro network as an example to empirically examine the stochasticity characteristics of OD passenger demands of metro network. Based on the morning peak OD demand data for 250 weekdays, a local outlier factor method is used to identify and remove outliers in the data. A clustering method is used to cluster the OD pairs, study the fluctuation and distribution characteristics of the OD passenger demands, and select the optimal distribution type through goodness-of-fit indices. The results show that 1) the coefficients of variation of morning peak OD demands in the network are mainly distributed in the range of 0.2–0.6, and different OD pairs have different fluctuations, and the degree of demand fluctuation decreases as the mean increases; 2) the probability distribution types of OD demands based on statistical characteristics are heterogeneous; and 3) the optimal distribution type of OD demands is Poisson, Lognormal/Gamma, and Normal for OD pairs characterized by a small mean and right-skewness, a small mean and skewness close to 0, and a large mean, respectively. In contrast to the simple average-based data processing of OD passenger demand in metro networks, this paper presents a new perspective of mining long-term continuous data to understand the inherent stochasticity of OD passenger demands. The results can provide more realistic and practical inputs and assumptions for theoretical research on stochastic OD demands in metro networks.

Characterization of the mechanical properties of the mouse Achilles tendon enthesis by microindentation. Effects of unloading and subsequent reloading

The fibrocartilaginous tendon enthesis, i.e. the site where a tendon is attached to bone through a fibrocartilaginous tissue, is considered as a functionally graded interface. However, at local scale, a very limited number of studies have characterized micromechanical properties of this transitional tissue. The first goal of this work was to characterize the micromechanical properties of the mineralized part of the healthy Achilles tendon enthesis (ATE) through microindentation testing and to assess the degree of mineralization and of carbonation of mineral crystals by Raman spectroscopy. Since little is known about enthesis biological plasticity, our second objective was to examine the effects of unloading and reloading, using a mouse hindlimb-unloading model, on both the micromechanical properties and the mineral phase of the ATE. Elastic modulus, hardness, degree of mineralization, and degree of carbonation were assessed after 14 days of hindlimb suspension and again after a subsequent 6 days of reloading. The elastic modulus gradually increased along the mineralized part of the ATE from the tidemark to the subchondral bone, with the same trend being found for hardness. Whereas the degree of carbonation did not differ according to zone of measurement, the degree of mineralization increased by >70 % from tidemark to subchondral bone. Thus, the gradient in micromechanical properties is in part explained by a mineralization gradient. A 14-day unloading period did not appear to affect the gradient of micromechanical properties of the ATE, nor the degree of mineralization or carbonation. However, contrary to a short period of unloading, early return to normal mechanical load reduced the micromechanical properties gradient, regardless of carbonate-to-phosphate ratios, likely due to the more homogeneous degree of mineralization. These findings provide valuable data not only for tissue bioengineering, but also for musculoskeletal clinical studies and microgravity studies focusing on long-term space travel by astronauts.

Voltage, power, and energy production of a Shewanella oneidensis biofilm microbial fuel cell in microgravity

Future long-term space travel requires both efficient waste management and renewable energy production to be feasible. One such option in addressing these issues is a microbial fuel cell (MFC) that converts chemical energy in organic matter to electrical energy through biological processes of microbes. Electroactive biofilms are special colonies of microbes that utilize an extracellular matrix to increase the endurance and growth of bacterial colonies through the sharing of resources and the depositing of electrons. We studied the power production of a biofilm MFC by testing the fuel cell in microgravity over time on the International Space Station (ISS). We utilized Shewanella oneidensis, an established electroactive biofilm, to break down a nutrient solution and release electrons and protons, producing a voltage difference across the cell. The S. onedensis biofilm grew more prolifically under low-pressure conditions, making it well suited for microgravity; consequently, the consumption of sodium lactate in a larger biofilm caused an increase in anaerobic respiration of the bacteria. This increased the voltage difference recorded across the cell and the corresponding power of the MFC. Our results are consistent with our hypothesis that there would be an increase in voltage and power production over time; however, an insufficient amount of growth medium eventually led to a decrease in voltage and power production as the biofilm died out. Power output during microgravity testing increased over time, coinciding with nutrient solution pump cycles. This experiment established that an MFC is a promising avenue for the development of renewable energy in microgravity.

Computational Architecture of an Integrated Urban Model Considering Physical-Virtual Activity Spaces

This study presents the computational architecture of the integrated transport, land-use, and emission (iTLE) modeling system. It incorporates the effects of physical-virtual activity-space interactions within the microsimulation framework, making it a comprehensive tool for predicting travel demand and evaluating the impacts of evolving activity-travel behavior on transport and land-use systems. The model systematically integrates households’ and individuals’ long-term, medium-term, and short-term travel related decisions, and traffic assignment allowing for more reliable estimates of travel demand. Application of the iTLE prototype in the Halifax Regional Municipality (HRM), Canada reveals notable trends, including a reduction in travel time for work activities, highlighting the potential of teleworking as a pragmatic strategy for traffic management. The model’s flexibility is demonstrated through its ability to capture the trade-offs between physical and virtual activity environments, aligning with the intricacies of modern digitalized societies. Integration of iTLE with the traffic assignment system enhances its applicability across diverse urban contexts, streamlining the process of setting origin-destination trip matrices and significantly improving computational efficiency. By systematically coupling the micro-behavioral decision processes, iTLE generates robust estimates of traffic flow, emissions, and energy use, providing reliable insights for sustainable and efficient transportation planning. This study contributes to advancing integrated urban modeling, offering a valuable tool that can be replicable for multiple cities in Canada and beyond.

The relationship between psychological traits and long-distance travel

This article considers the mutual influence of long-term travel and the psyche of individuals, including as a factor in the development of mental disorders. According to the author of the article, such a factor as a long journey has a multifactorial significance. The purpose of this article is to review the various forms of influence of long-term travel on the psyche of an individual. The scientific significance lies in the fact that against the background of active development of technical means and increasing mobility of the population, the topic of mutual influence of long-term travel and psyche has not been practically covered in Russian. Thus, with timely detection of clinical signs of mental disorders, it is possible to take a number of preventive measures to reduce the possible consequences, both for the individual and for those social groups to which he belongs. When writing the work, the following scientific methods were used: general theoretical, analysis and synthesis, historical-logical, inductive-deductive. This paper analyzed the available scientific publications, theoretical works, clinical and general educational manuals. The value of the study lies in the fact that traveling and psyche are considered in mutual influence. Therefore, practical recommendations for prevention should also take into account this mutual influence.

An analysis of the possibilities and challenges of long stay tourism in Thailand

The tourism sector is significant in emerging nations like Thailand. The cost of lodging is a significant component of practically every trip, thus it is important to consider accommodation development while trying to draw in visitors from other nations. The long-stay tourism industry is crucial since longer visitor stays result in more revenue. Following this, other research on long-term lodging of all forms has been conducted, with an emphasis on both the tourist and real estate sectors. The best tourist option in Thailand is long-term travel. As evidenced by the American, European, and Japanese visitors, the target market is tourists from nations with high costs of living, frigid climates, and aging populations. Therefore, it is anticipated that the tourist demographic will change in future, leading to the emergence of the retirement home niche market as a part of long-stay tourism. The characteristics of long-stay tourism in Thailand are examined in this paper, and we assess the theoretical and conceptual framework as an analysis of Thailand's tourism. Examining the current situation of the Thai long-stay tourist business is the initial and main objective of this study. There is currently no perfect answer, but various alternatives from comparable markets in representative nations have been used as examples to subsequently create tourism accommodation in Thailand for long-stay tourism.