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This research estimated models for long-distance domestic passenger trips before and after the introduction of autonomous vehicles (AVs) and their application to a 10% synthetic US population. The authors synthesized 12.1M households and 28.1M individuals across 73,056 US census tracts. To generate disaggregated passenger trips, travel demand models, including trip frequency, season, purpose, party size, mode choice, and destination choice, and vehicle ownership models were estimated. Different datasets, including a 2021 long-distance AV survey, 2016/17 National Household Travel Survey (NHTS) survey, EPA Smart Location data, and FHWA rJourney dataset were used for model estimation. The model applications indicated AV ownership to be 0.33 per capita after the introduction of AVs within the marketplace with a $3500 AV technology cost premium in the year 2040. Total person-miles traveled per capita in long-distance trips was also estimated to rise 35% (from 280 to 379 miles per month). [ABSTRACT FROM AUTHOR]

This study aimed at investigating inclination towards domestic tourism during COVID-19 pandemic. Accordingly, 19 international tourists received in-depth interviews on domestic tourism during COVID-19 crisis in the first phase (qualitative) of the study. The interviews were thematically analyzed to identify 29 codes and 5 concepts (economic, communicational, psychological, health, and executive incentives) into the inclination category. Finally, the domestic tourism inclination construct during COVID-19 crisis was developed. In the second (quantitative) phase, the identified construct was tested and implemented by analyzing the questionnaires filled out by 390 Iranian tourists using AMOS. While validating the construct in general, the results of the first and second-order factor analysis revealed that health and economic incentives had the highest and lowest correlation with the inclination category, respectively. Finally, using the TOPSIS technique, indices were ranked, revealing that the three indices of Taking Care of Family Members and Relatives in Other Locations (C3), Financial Problems Due to the Pandemic Crisis (EC2), and Using a private vehicle (EX2), were the first three priorities and the three main indices influencing the inclination towards domestic tourism during this critical period. [ABSTRACT FROM AUTHOR]

Georeferenced messages on social media represent a powerful data source to gain a different perspective for estimating mobility behaviour, which is still mainly based on travel surveys. These data are openly available, yet few studies have explored their potential. This paper assesses the feasibility of large-scale Twitter data as a proxy of human mobility behaviour to complement traditional travel surveys, and for calibration and validation of transport models. Almost 12 million Tweets from more than 90,000 users were further analysed to detect the trip patterns at municipality level in Norway from 2012 to 2022. Results showed that the mobility patterns changed between 2014 and 2019 for the travel survey, as for 2019 most of the reported trips were short and concentrated in the densely populated areas of the country, where most respondents lived, triggering a lack of information for certain areas. In contrast, Twitter data presented a more stable data source along both years with similar population distribution and average trip length. Although Twitter data have limitations in relation to the socio-demographic information of the users, it could complement the travel survey given the broader spatial and temporal distribution of this large-scale data. [ABSTRACT FROM AUTHOR]

This research compares four travel motivations–socialization, responsibility, attractions, and food-across four countries namely India, Japan, Malaysia, and the United Arab Emirates. The investigation ascertains the factors that account for domestic traveler confidence during a pandemic. Through an online survey of 2,076 domestic tourists, it was found that responsibility was a key antecedent of domestic travel confidence, while food was a strong predictor in all countries except India. The allure of attractions was only partially supported in the findings, and the need for socialization was insignificant. The study highlights differences and similarities between the four countries and provides theoretical and practical insights that can inform destination travel recovery strategies postpandemic. [ABSTRACT FROM AUTHOR]

This article examines advertisements for Mount Buffalo National Park, published in the Australian National Travel Association (ANTA)'s Walkabout magazine in the mid- to late 1930s. Situating these texts in the wider context of ANTA's documentary archive, I argue that they reveal how ANTA both intuited and sought to shape middle-class settler Australians' identification and interaction with nature and the nation. Furthermore, ANTA's estimation of what kinds of experiences middle-class tourists wanted demonstrates mid-century ideas around harnessing nature for development through mass recreation. These advertisements also evoked an idealised vision of Australian nature as an egalitarian and classless playground, where youthful and healthy settlers enjoyed the nation's great outdoors. The extent to which this vision was ANTA's alone and the extent to which ANTA produced it according to its perception of the values and aspirations of Walkabout's middle-class audience is a key consideration of this article. [ABSTRACT FROM AUTHOR]

Many higher educational institutions offer existing travel abroad study experiences. On the rise are shortterm domestic travel experiences with the large cultural diversity present in the United States. As accessibility to study abroad programing is continuously faced with barriers such as cost, perceived safety, opportunity cost, and language, could domestic study programs offer equitable alternatives? With leadership experience being a necessary and sought after skill by students and employers, to what capacity does domestic travel provide participants leadership development? This autophotography study utilized photo-caption data to investigate the perceived leadership competencies developed by state FFA officers during a short-term domestic travel experience. Participant photo-caption responses communicated limited leadership competency development. Rather, participants conflated agricultural experiential exposure and gained social capital as perceived leadership competency development. Recommendations include developing leadership curriculum grounded in theory for both domestic and abroad travel experiences, front loading leadership competency development goals to participants, introducing post-trip interviews in future studies, and replicating the study within a global context in a travel experience abroad to understand perceptions beyond a domestic experience. [ABSTRACT FROM AUTHOR]

We examine the relationship between passengers arriving from COVID-19 hotspots during the early period of the pandemic and the number of COVID-19 cases or deaths in a MSA during the first wave of the pandemic in the U.S. To do so, we link airline passenger flows with COVID-19 infection and mortality data. We control for MSA-level population and demographic data. We examine infection and mortality rates in MSAs receiving more versus fewer airline passengers from four early COVID-19 hotspots: New York City, Boston, Detroit, and New Orleans. We then compare the effect of airline passengers from these four hotspots with the effect of airline passengers from a set of eight cities with similar numbers of departing airline passengers. We find no evidence that passengers arriving from four early COVID-19 hotspots are positively correlated with local COVID-19 infection and death rates. More broadly, we find no evidence that passenger arrivals from COVID-19 hotspots increased the early spread of COVID-19 in the U.S. Our results indicate that banning domestic air travel may do little to slow the spread of infections. [ABSTRACT FROM AUTHOR]

This study empirically compares domestic tourists' behavior before and after the Covid-19 outbreak. Specifically, official data are used to characterize the travel behavior of residents in Spain who traveled through this country for reasons of leisure, recreation, and vacations in 2019 and 2020. A discrete choice model is employed to unravel the main variables that influence the decision of being an inter-regional traveler. The bootstrap p -value method is used to detect significant changes in the marginal effect of the different variables after the Covid-19 outbreak. The estimation results demonstrate the following: (i) domestic inter- and intra-regional travelers have significant differences and, therefore, policy-makers should not design and implement "one size fits all" policies for domestic tourism; (ii) in addition to socio-economic factors, the regional push-pull factors (e.g., weather) and trip-related characteristics (e.g., type of accommodation) are also important in explaining inter-regional travel decisions; (iii) a high number of Covid-19 infections in the region of origin increases the probability of traveling inter-regionally; and (iv) the Covid-19 outbreak has caused an abrupt shift in domestic travelers' profiles. [ABSTRACT FROM AUTHOR]

This paper aims to show how changes in survey design, supervision, and data collector affect travel survey data. The results can be used by policymakers and travel behaviour researchers when evaluating or choosing survey design. A document study of public documentation of national travel survey (NTS) methodology, and research using NTS data material from six European countries were conducted to compare the survey design of their respective NTSs. The results show that all countries included in this analysis have some sort of quality challenges. However, the countries have handled them differently, at different stages, and the transparency of the data collection process varies. Transparency in the data collection process and processing of data is essential for improving the survey design, evaluating quality, and ensuring that the time series is intact. [ABSTRACT FROM AUTHOR]

There exist problems of hard coordination and threshold setting as well as low sensitivity in overcurrent relay due to the bidirectional and small fault current when distributed generators are integrated into the distribution network. This paper introduces ferrite rings (FRs) to act as boundaries of distribution feeders, and a peak time of voltage traveling wave‐based protection is proposed. The characteristics of FRs are analyzed and their feasibility as line boundary is validated. The fault characteristics of internal and external faults are analyzed when FRs are installed at both ends of the protected feeder. The results show that the peak time of the voltage travelling wave of the internal fault is far smaller than that of the external faults. According to the difference, the fault detection method and the protection scheme are proposed. Simulations in PSCAD and experiment validate that the proposed protection principle can reliably distinguish between internal and external faults. Besides, the proposed protection scheme has higher sensitivity compared to ROCOV‐based protection. [ABSTRACT FROM AUTHOR]

This study aimed to explore how tourists perceive the landscapes in traditional Chinese villages and to provide recommendations for developing and utilizing resources that improve these landscapes. To this end, a database containing over 13,000 online comments from tourists was created from domestic travel websites. A Likert scale was applied to score tourists' qualitative perceptions of the landscapes of five traditional villages, and based on the importance-satisfaction analysis approach, a model to evaluate satisfaction with – and importance of – landscape indicators was created. The results indicated that the perception of visual elements was extremely important for tourists, but satisfaction scores for some indicators were low. Tourists' satisfaction with tactile perception was low, and its importance was also low. Regarding physical activities available in villages, satisfaction and importance scores were high. Satisfaction with olfactory elements was also high but not important. Based on the evaluation model, traditional Chinese villages should prioritize the following: (1) protecting overall village style and features, (2) improving village service facilities, and (3) developing characteristic folkloric and cultural activities to enrich tourists' behavioral experience. [ABSTRACT FROM AUTHOR]

The study endeavors to discern the determinants influencing individual travel mode preferences within the urban landscape of Multan City, located in the province of Punjab, Pakistan. Methodologically anchored in primary data acquired through an online questionnaire, a judicious application of convenient sampling facilitated the assimilation of pertinent information. Employing the binary regression Logit model, the discernments proffer that variables such as income, total distance, gender, and fuel expenditure exert a significant influence on the selection of travel mode. Conversely, the variables of age and possession of a driving license were found to be non-contributory to the individuals' choices in travel mode. [ABSTRACT FROM AUTHOR]

As a positive ingroup bias, tourism ethnocentrism (TE) is considered a symbolic reason for travelling that drives tourists to choose domestic destinations as a way of supporting their country and its tourism industry. To provide an additional perspective on TE, through the lens of cognitive dissonance and rationalization, we studied its relationships with other factors that could affect tourists' decision to travel domestically. The study was conducted in Serbia and used structural equation modelling to test these relationships. Our findings indicate that tourism xenophilia and tourism thalassophilia, defined as a preference for seaside summer holidays, do not affect TE and have only a limited negative impact on willingness to travel domestically. Constraints for travelling abroad and increased destination awareness as a consequence of the pandemic positively affect TE, thus questioning its purely symbolic nature and indicating that levels of TE in tourists could change due to external factors. [ABSTRACT FROM AUTHOR]

Gravity currents are of high interest both for their relevance in natural scenarios and because varying horizontal buoyancy presents a canonical problem in fluid mechanics [Huppert, "Gravity currents: A personal perspective," J. Fluid Mech. 554, 299–322 (2006)]. In this paper, attention is directed to gravity currents with a full-depth lock release propagating into a linearly stratified ambient fluid. For the case of an unstratified ambient, similarity solutions are known to capture the evolving height profile of the gravity current. We will compare this solution class with numerical data from high fidelity simulations. The presence of ambient stratification (quantified by the stratification intensity, S) introduces internal gravity waves that interact with the propagating current head, which will inhibit Kelvin–Helmholtz billows, decelerate current propagation, and smooth the shape of the current head. We perform direct numerical simulations of planar two- and three-dimensional gravity currents released into stratified ambient fluid of varying S and analyze the gravity current kinematics. Our analysis complements existing findings from performed laboratory and numerical experiments [Dai et al., "Gravity currents propagating at the base of a linearly stratified ambient," Phys. Fluids 33, 066601 (2021)] that show a stratified ambient modifies the current front velocity. Previous literature employed has inconsistent Reynolds numbers and boundary conditions, complicating interpretations. In the present numerical campaign, a closer analysis clarifies influence of the top boundary condition choice on formation and structure of the internal gravity waves. While acknowledging there is no available choice for a high-accuracy simplified numerical representation of a free-surface, a family of profiles for internal wave formation emerges varying with buoyancy Reynolds number and top boundary condition selection. The subsequent results appraise similarity solutions for the distribution of the heavy fluid in the gravity current. Our results show that for unstratified and low stratification ambient fluid, height profiles permit a similarity solution but higher values of S are less amenable; these profiles suggest a continuing time dependency on the traveling internal wave. [ABSTRACT FROM AUTHOR]

This document provides summaries of various articles published in the Indian Journal of Anaesthesia. The first article discusses the effect of different inhalational anaesthetic agents on blood glucose levels in non-diabetic patients undergoing surgery. The second article compares the efficacy of different muscle relaxants for endotracheal intubation during rapid sequence induction. The third article evaluates the clinical criteria for extubation readiness. The fourth article compares the efficacy of high-flow nasal cannula oxygenation to conventional oxygenation during rigid bronchoscopy. Additionally, the document includes summaries of four other research studies related to anesthesia and surgical procedures. These studies cover topics such as intubating conditions, hypotension prediction, renal function, and airway assessment. The studies provide valuable insights into improving patient outcomes during surgical procedures. [Extracted from the article]

While the benefits of short-term study abroad programs are well documented, especially with respect to enhancing cross-cultural competency in the participants, fewer than one percent of college students in the U.S. benefit from this experience. The principal barriers to studying abroad are actual and opportunity costs and its perceived worth. An alternative model is presented here in which the culturally-diverse, internationally-oriented megacities of North America – New York, Miami, Los Angeles, and Houston, among others – can serve as domestic alternatives where a curated set of experiences and learning opportunities can provide educational outcomes akin to those obtained through traditional study abroad programs, at a substantially lower cost to a larger and more diverse student body. A case study, that is easily replicable, is showcased. Limitations of this pedagogical alternative and guidelines for instructors are discussed. [ABSTRACT FROM AUTHOR]

To develop tourism products and campaigns that will not only help the tourism industry to survive, but also revive and sustain it in the future, it is imperative to understand the behavioral intentions of leisure travelers during the coronavirus disease (COVID-19) pandemic. This study aims to explore how Japanese traveler segments are characterized by their attitudes and feelings toward domestic travel during the COVID-19 pandemic. A market research study was conducted on Japanese nationals, using 1353 questionnaires in the analysis. A factor analysis was generated in six attitude dimensions: 1) COVID-19 Anxiety, 2) Government Mistrust, 3) Psychological Impact, 4) Optimistic Outlook, 5) Financial Impact, and 6) Social Anxiety; through K-means cluster analysis, the segmentation produced three distinct tourist segments: Confident Travelers, Anxious Travelers, and Social Travelers. Each segment is clearly described in terms of attitudes, considering distinct socio-demographic characteristics. Practical suggestions on how to manage and target these segments include implementing travel packages with minimal face-to-face contact for anxious travelers, travel subsidies through national campaigns for confident travelers, or conventional marketing campaigns for social travelers. [ABSTRACT FROM AUTHOR]

Travel is frequent among many populations, including pregnant people. The focus of this online survey was to better understand the travel practices of people who have been pregnant within the last ten years. An online survey was conducted for three months through social media posts on Facebook and Twitter. Previously pregnant people were asked questions about where they traveled, if they cancelled any travel plans, and travel-related discussions with their obstetric provider. During the three months the survey was open, 469 participants completed the survey. A total of 390 (83.2%) participants traveled domestically, while 114 (24.3%) traveled internationally or between non-contiguous states within the United States of America (USA). Of these respondents, 170 (44.2%) of the domestic travelers and 69 (61.1%) of the international travelers reported discussing travel plans with their OB provider. Additionally, 49 (10.5%) participants cancelled at least one domestic trip and 30 (6.41%) cancelled at least one international trip. Regarding travel discussions, 6 (3.6%) participants who traveled domestically and 2 (2.9%) who traveled internationally reported that their OB provider initiated the conversation. Many pregnant people choose to travel domestically and internationally. However, it is also clear that not all travelers discuss plans with their OB provider, and in few cases does the provider initiate the conversation. Given the frequency with which people travel, pregnant people and their OB providers should have conversations regarding travel to minimize potential risks.

This paper presents a 7-day Travel Demand Model (TDM) for UK rural areas to aid the Electric Vehicle (EV) transition in these regions. Utilising data from both the UK Census Survey and UK National Travel Survey (NTS), private passenger vehicle travel patterns for a rural village in the Peak District National Park (UK), were modelled. This model is adaptable to any rural community within the UK, requiring only publicly available information on households and vehicles for that community. Using a novel approach through the development of lifestyle scenarios to understand the required household activities, the TDM incorporates five different trip purposes as the building blocks for a vehicle's activity. Over a period of one week, 13,520 miles were driven by 84 vehicles across 49 households, that shows an EV fleet serving this community would consume 3562 kWh energy per week. [ABSTRACT FROM AUTHOR]

Rising lower- and middle-class Victorians benefited from affordable opportunities for travel, with the hospitality industry newly opened to travelers of all socioeconomic backgrounds. Travel destinations, domestic and international, became spaces of contention, shared by the wealthy-accustomed to privilege-and the lower classes-who aimed to share in that privilege. Popular periodicals satirized these developments, as iii the Punch character'Arry, a Coekney man known for following the latest trends, including travel. Symbolizing the generic lower-class tourist, 'Arry also appears in newspapers and other periodicals, and in works of fiction by Mary Elizabeth Braddon, Marie Corelli, and Florence Marryat. Arry and his companion 'Arriet highlight class and race tensions, at home and abroad, in unique and unprecedented ways. [ABSTRACT FROM AUTHOR]

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Using rich individual-level data, this study examines the effect of travelling on mental health in Italy. Italy is characterized by high coronavirus transmission rates during the early stages of the pandemic. Our findings confirm the existence of heterogeneous effects of domestic versus international travelling on anxiety. We find that international travelling is positively associated with anxiety, while domestic travel reduced anxiety among Italian travellers during the pandemic. There is also evidence suggesting that female travellers experience better mental health than male travellers when they travelled abroad. [ABSTRACT FROM AUTHOR]

The pandemic has had a significant impact on the travel behavior of urban residents and has caused changes in the intercity travel network of urban agglomerations. However, few existing studies have explored the spatio-temporal changes of the intercity travel network of urban agglomerations under the pandemic. This paper took seven urban agglomerations in China as the study area, and conducted a comparative study on the hierarchy, scale, and spatial pattern of the intercity travel flow during China's National Day holiday before (i. e., 2019) and after (i. e., 2021) the COVID-19 pandemic based on Baidu migration data. The results are shown as follows. 1 The pandemic has changed the scale and temporal pattern of intercity travel flow in urban agglomerations. The total intercity travel flow of the seven urban agglomerations during the National Day holiday in 2021 is 64% lower than that in 2019. There are two main types of travel evolution pattern over time, that is, "C" shape and decreasing to stable with the time. 2 The external and internal travel networks of urban agglomerations have three modes: multi-core development, dual-core drive and single-core radiation. After the pandemic, travel flows become more low-value and provincial, and administrative boundaries have increased restrictions on the resident travel of urban agglomerations. 3 The number of external dominant flow in urban agglomerations is higher than the number of internal dominant flow, and the intensity of travel flow is vice versa, indicating that the "proximity effect" of internal and external dominant flow after the pandemic is increasingly enhanced, and the pattern of external dominant flow is largely contracted to the province or neighboring provinces. 4 Both GDP per capita and employees have a significant impact on the spatio-temporal changes of the travel network, indicating higher economic resilience and larger travel flow scat in the core cities of the urban agglomeration after the pandemic. The effect of administrative hierarchy and tourism resource abundance are not significant to the scale of urban inflows due to the impact of prevention and control of the pandemic. The passenger volumes of high-speed rail and highway contribute positively to the scale of city inflows, mainly due to choice preferences for short/middle distance travel under the pandemic. [ABSTRACT FROM AUTHOR]

Simple Summary: Pet air travel has increased in the last decade, and 6% of pets in the US board a plane every year. Dogs have been reported to make up 58% of pets travelling worldwide. Despite this, there is little data available about air travel in dogs. A total of 635 questionnaires were collected from dog owners whose dogs had travelled by air in the last 12 months to obtain initial data on international dog air travel and how well dogs cope with air travel physically, mentally, and emotionally. Data on how dogs were being prepared for air travel, specifically regarding stress management, were also collected. Results showed that most dogs cope with and recover well from air travel but that there is a group of individuals who suffer physical, mental, and emotional ill health consequences during or after air travel, including death. Most dog owners planned air travel themselves, and over half did not seek professional advice. Stress management products such as anxiolytic medication and supplements or pheromones were only used in one-quarter of canine travellers. This study presents opportunities for all stakeholders of pet air travel, including owners, veterinarians, airlines, airports, and pet shippers, to improve pet welfare during air travel. It is estimated that 2 million domestic animals travel on commercial flights every year in the US alone and that dogs make up 58% of pets travelling worldwide. There has been little research on the welfare effects of air travel on dogs. The purpose of this owner-reported study was to understand how well dogs cope with and recover from air travel from a physical, mental, and emotional health perspective. An online survey questionnaire was distributed globally to pet owners whose dogs had travelled by air in the last 12 months, and the results were collected and analysed. Information was received about dog and owner demographics, logistics, and preparation for travel, as well as the dog's experience of air travel. Results showed that most dogs cope with and recover well from air travel but that there is a group of individuals who suffer physical, mental, and emotional ill health consequences during or after air travel, including death. Stress management products such as anxiolytic medication, supplements, and pheromones were underutilised and, in some instances, actively discouraged. More education of all stakeholders of pet air travel is needed to improve the physical, mental, and emotional health and welfare of canine air travellers. [ABSTRACT FROM AUTHOR]

In response to the unprecedented circumstances resulting from the COVID-19 pandemic, various national government policies were implemented to reduce the serious economic damage caused by the pandemic and attempts to control it. These policies generally aimed to kick-start domestic-led recoveries in many sectors. This study examines how different types of fiscal measures adopted by governments in response to this pandemic are associated with the growth of expenditure on domestic travel in 2020. Utilizing data from 76 countries and applying OLS estimator and 2SLS regression (which mitigates the potential endogeneity problem), the study shows that governments' additional spending and tax reductions (especially in non-health sectors) positively contributed to rising expenditure in domestic travel destinations. Similar results are found for countries that are very reliant on tourism. Our findings lend empirical support for Keynesian theory's prediction concerning the effect of government spending and tax reduction on household consumption behavior in the short run, particularly during periods of economic stress and uncertainty. [ABSTRACT FROM AUTHOR]

Immobility – i.e. no travel outside the home in a 24-hour day – is an important issue because it concerns a large part of the population and tends to recur frequently, as our results show. Two questions related to immobility have been particularly highlighted in the literature: firstly, whether immobility is an artefact of travel surveys; secondly, whether it corresponds to an extreme form of low mobility. In light of the literature review and levels of immobility observed, these two questions seem to be minor, particularly in relation to the activity of individuals, which remains the main factor in immobility. By using Structural Equation Modeling to process UK National Travel Survey data, this work has explored the individual variability of trips as a constituent element of immobility for employees and retirees. The link between immobility and variability manifests itself in two ways in our results. Firstly, immobility is associated with activities that are less constrained in time and space, as is the case with the lower frequency of travel for work and support. Secondly, there are rebound effects on mobile days, with more frequent trips for grocery/medical motives in particular, when there is an episode of immobility during the week. [ABSTRACT FROM AUTHOR]

Despite many studies exploring the factors that influence the use of technology in tourism, research focusing on the moderating effect of age on the use of digital marketing tools and platforms for domestic leisure travel purposes remains elusive. Using dimensions from the Technology Acceptance Model and motivation as an additional construct, this study examined the moderating effects of age on digital marketing tools and platform adoption. A sample of 401 domestic tourists and a self-administered questionnaire were used for data collection. Regression analysis was used to analyze the relationships between the proposed variables and the moderating effect of age on these relationships. The findings revealed that perceived usefulness and motivation significantly influenced the use of digital marketing tools and platforms, and the effect of motivation was more significant. Tourists' age played a notable role in contributing to the strength of the relationships. Tourism marketers, managers, business owners, and web developers can use these results as tools to make more effective marketing decisions to promote leisure travel. [ABSTRACT FROM AUTHOR]

This article examines the relationship between risk perception and domestic travel intention during the COVID-19 pandemic in China. The study uses the theory of planned behavior and focuses on the moderating effect of perceived behavioral control. An online questionnaire survey was conducted, and the results show that perceived behavioral control affects the relationship between risk perception and domestic travel intention through the mediators of attitude and social norms. However, perceived behavioral control does not moderate the impact of affective and experiential risk perception on travel intention. The findings suggest that providing extensive and reliable information on travel risks and offering advice to mitigate these risks is crucial for the government and tourism industry in China. [Extracted from the article]

In this paper, I investigate what common discourses National AI Strategies (NAISs) share and how they have unfolded differently in diverging national contexts. For this purpose, I compare the South Korean and French cases by relying on the notions of sociotechnical imaginary and future essentialism. I analyze (1) the emergence of the common discourses, which I call AI‐essentialism, over the past decade; (2) the development of imaginaries around IT in Korea and France in the twentieth century, namely technological developmentalism and the American challenge, respectively; and (3) the integration of the traveling AI‐essentialism and nationally embedded imaginaries of IT into each country's NAISs. The analysis indicates that: (1) AI‐essentialism incorporated discursive strategies, enabling political and industrial leaders to naturalize AI development, hence justifying increased investments in the field; (2) two countries' imaginaries of IT diverged due to the successes and failures throughout the second half of the twentieth century; and (3) while two countries' NAISs share AI‐essentialism's discursive instruments, their specific measures and unfolding have varied in relation to each case's existing imaginaries of IT. [ABSTRACT FROM AUTHOR]

Mobile phones have achieved a high rate of penetration and gained great interest in the field of travel behavior studies. However, mobile phone data exploitation for national travel models has only been sporadically studied thus far. This work focuses on one of the most extensive cellular surveys of its kind carried out thus far in the world, which was performed for two years between 2018 and 2019 with the participation of the two largest cellular providers in Israel, as well as leading GPS companies. The large-scale cell phone survey covered half the population using cellphones aged 8+ in Israel and uncovered local and national trip patterns, revealing the structure of nationwide travel demand. The methodology consists of the following steps: (1) plausibility and quality checks for the data of the mobile operators and the GPS data providers; (2) algorithm development for trip detection, home/work location detection, location and time accuracy, and expansion factors; (3) accuracy test of origin–destination matrices at different resolutions, revisions of algorithms, and reproduction of data; and (4) validation of results by comparison to reliable external data sources. The results are characterized by high accuracy and representativeness of demand and indicate a strong correlation between the cellular survey and other reliable sources. [ABSTRACT FROM AUTHOR]

Estimating the price elasticity of demand for air transport is essential to understand how demand responds to price variations and thus propose appropriate public policies and business strategies oriented toward this sector's sustainability in its triple aspect (economic, environmental and social). This paper aims to provide a robust quantification of the price elasticity of demand for air travel on U.S. domestic routes using quarterly data from 1996:1 to 2021:4 on these routes from the Bureau of Transportation Statistics' Airline Origin and Destination Survey. Four different samples are analyzed to ensure consistency of the estimates obtained. The estimation method and the origin of the price changes are the main contributions of this research. Estimation is conducted using a quasi-experimental method to ensure that the supply curve shifts on a stable demand curve and that measuring the response of demand to price changes enables predictions about the demand for air travel. Although previous studies have addressed this issue, this research analyses a different situation, with flexible and changing prices, in which the change in supply is due to the decisions of the companies operating in the market rather than generated by public policies and rigid pricing environments (fixed fares). An analysis of airline supply shifts is added for the selected periods and routes. The estimation shows that the demand for passenger airline seats in the analyzed context is inelastic in the lower range but within the interval of most of the estimates found in the literature. [ABSTRACT FROM AUTHOR]

Travel is frequent among many populations, including pregnant people. The focus of this online survey was to better understand the travel practices of people who have been pregnant within the last ten years. An online survey was conducted for three months through social media posts on Facebook and Twitter. Previously pregnant people were asked questions about where they traveled, if they cancelled any travel plans, and travel-related discussions with their obstetric provider. During the three months the survey was open, 469 participants completed the survey. A total of 390 (83.2%) participants traveled domestically, while 114 (24.3%) traveled internationally or between non-contiguous states within the United States of America (USA). Of these respondents, 170 (44.2%) of the domestic travelers and 69 (61.1%) of the international travelers reported discussing travel plans with their OB provider. Additionally, 49 (10.5%) participants cancelled at least one domestic trip and 30 (6.41%) cancelled at least one international trip. Regarding travel discussions, 6 (3.6%) participants who traveled domestically and 2 (2.9%) who traveled internationally reported that their OB provider initiated the conversation. Many pregnant people choose to travel domestically and internationally. However, it is also clear that not all travelers discuss plans with their OB provider, and in few cases does the provider initiate the conversation. Given the frequency with which people travel, pregnant people and their OB providers should have conversations regarding travel to minimize potential risks. [ABSTRACT FROM AUTHOR]

In the linear approximation, we examine the one-dimensional problem of long internal wave propagation without reflection in a stationary two-layer flow with a free boundary in a channel of variable depth and width, in the limiting cases of surface and near-bottom currents. We use the shallow-water approximation and assume that liquids in the layers are ideal, immiscible, and having a small relative density difference, and that the flow is only in one of the layers. To filter fast processes (such as surface gravity waves), the flow velocity is assumed to have the same order of magnitude as the speed of internal waves. Both surface and near-bottom flows are divided into three classes, in accordance with conditions providing wave propagation without reflection. The properties of the flows in each of the classes are examined, and it is shown that the global reflectionless near-bottom flows do exist. The main results and conclusions are illustrated by a few particular solutions. A detailed comparison with the first part of the study concerning the flows with currents in both layers made it possible to clarify and refine some of the results obtained there, and to formulate questions for further investigation. The results obtained may be of interest for understanding of those natural processes in surface and near-bottom flows, which are significantly influenced by internal waves. [ABSTRACT FROM AUTHOR]

Background: Increases in human mobility have been linked to rises in novel coronavirus disease 2019 (COVID-19) transmission. The pandemic era in Japan has been characterized by changes in inter-prefectural mobility across state of emergency (SOE) declarations and travel campaigns, but they have yet to be characterized. Methods: Using Yahoo Japan mobility data extracted from the smartphones of more than 10 million Japanese residents, we calculated the monthly number of inter-prefectural travel instances, stratified by residential prefecture and destination prefecture. We then used this adjacency matrix to calculate two network connectedness metrics, closeness centrality and effective distance, that reliably predict disease transmission. Results: Inter-prefectural mobility and network connectedness decreased most considerably during the first SOE, but this decrease dampened with each successive SOE. Mobility and network connectedness increased during the Go To Travel campaign. Travel volume between distant prefectures decreased more than travel between prefectures with geographic proximity. Closeness centrality was found to be negatively correlated with the rate of COVID-19 infection across prefectures, with the strength of this association increasing in tandem with the infection rate. Changes in effective distance were more visible among geographically isolated prefectures (Hokkaido and Okinawa) than among metropolitan, central prefectures (Tokyo, Aichi, Osaka, and Fukuoka). Conclusion: The magnitude of reductions in human mobility decreased with each subsequent state of emergency, consistent with pandemic fatigue. The association between network connectedness and rates of COVID-19 infection remained visible throughout the entirety of the pandemic period, suggesting that inter-prefectural mobility may have contributed to disease spread.

Background: The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has rapidly spread over the world and caused tremendous impacts on global health. Understanding the mechanism responsible for the spread of this pathogen and the impact of specific factors, such as human mobility, will help authorities to tailor interventions for future SARS-CoV-2 waves or newly emerging airborne infections. In this study, we aim to analyze the spatio-temporal transmission of SARS-CoV-2 in Belgium at municipality level between January and December 2021 and explore the effect of different levels of human travel on disease incidence through the use of counterfactual scenarios. Methods: We applied the endemic-epidemic modelling framework, in which the disease incidence decomposes into endemic, autoregressive and neighbourhood components. The spatial dependencies among areas are adjusted based on actual connectivity through mobile network data. We also took into account other important factors such as international mobility, vaccination coverage, population size and the stringency of restriction measures. Results: The results demonstrate the aggravating effect of international travel on the incidence, and simulated counterfactual scenarios further stress the alleviating impact of a reduction in national and international travel on epidemic growth. It is also clear that local transmission contributed the most during 2021, and municipalities with a larger population tended to attract a higher number of cases from neighboring areas. Conclusions: Although transmission between municipalities was observed, local transmission was dominant. We highlight the positive association between the mobility data and the infection spread over time. Our study provides insight to assist health authorities in decision-making, particularly when the disease is airborne and therefore likely influenced by human movement. [ABSTRACT FROM AUTHOR]

This paper studies the change in the distance traveled by domestic tourists considering the pre- and post-pandemic outbreak summer periods of 2019 and 2020. Using representative monthly microdata involving more than 31,000 trips conducted by Spanish residents, we examine the heterogeneity in behavioral adaptation to COVID-19 based on sociodemographic and trip-related characteristics. To account for selection effects and the potential change in the population composition of travelers between the two periods, we estimate an endogenous switching regression that conducts separate regressions for the pre- and post-pandemic periods in a unified econometric framework. Our results point to heterogeneous shifts in the distance traveled by domestic travelers after COVID-19 outbreak per sociodemographic group, with notable differences by travel purpose and lower relevance of traditional determinants like income. [ABSTRACT FROM AUTHOR]

Due to the prolonged COVID-19 outbreak, more people are traveling domestically to relieve psychological fatigue. This study aimed to present a new tourism paradigm for the domestic tourism industry in Korea by identifying the changing tourism demand and patterns/preference of tourists due to COVID-19. Through comparative analysis of domestic travel before and after COVID-19, 632 samples were analysed using the 5W1H method. The results revealed the preferences of various tourism attributes such as travel companion, time, duration, distance, lodging facilities, and destination activity, which provided many practical implications for the tourism industry. The study results show that Korean families prefer shorter travel itineraries and destinations close to home after the COVID-19 pandemic. Preference for days of travel, accommodation, and major activities at destinations did not change, but were significantly affected. This study presents evidence that can provide a practical direction to the current situation thereby, enriching the extant tourism literature. [ABSTRACT FROM AUTHOR]

Herd immunity through vaccination has been a major technique for long-term COVID-19 infection management, with significant consequences for travel willingness and the recovery of the hospitality and tourism industries. However, indications that vaccine-induced immunity declines over time imply the need for booster vaccines. This could minimize the perceived health hazards of travel while enhancing travel propensity. This study integrated the theory of basic human values, the norm activation model, and the theory of planned behavior to investigate the role of cognitive aspects of individuals' booster vaccine intention on domestic and international travel intention. More importantly, the study examined the role of value in activating moral responsibility and individuals' beliefs to take the booster vaccine before traveling. A total of 315 Korean samples were collected to test the proposed conceptual model using structural equation modeling. In general, the results supported the proposed hypotheses. Notably, the intention to take the booster vaccine has a substantial impact on the intention to travel internationally. Furthermore, the communal values accept benevolence have an influence on personal morals and beliefs about receiving booster vaccines before international traveling. [ABSTRACT FROM AUTHOR]

Having grown up in an "always-on" technological environment, Generation Z differ significantly in attitudes and lifestyles compared to previous generations. However, their travel behaviors have not been widely discussed and adequately understood. Using data from the latest three National Household Travel Surveys in the United States, we in this paper identify the uniqueness of Gen Z in travel behaviors and preferences, and use the zero-inflated Poisson model to test the impacts of key factors on the mode choices. Results from the longitudinal analysis indicated that Gen Z are not always more environmentally friendly than same-age people in the past decades, while Gen Z have a stronger tendency to travel in a green way in response to changes in built environment than their counterparts decades ago. These findings demonstrate that Gen Z, who have been greatly affected by technological advances and social media, may show unprecedented potential to support sustainable transportation. [ABSTRACT FROM AUTHOR]

This study aims to fill the gap in the current influencer marketing literature by analyzing the impact of social media influencers (SMIs) credibility on the domestic travel intentions of Egyptian millennials.An online questionnaire was distributed to a convenience sample of 581 Egyptian millennials to collect primary data. The results indicate that the three dimensions of a SMI's credibility (trustworthiness, attractiveness, and expertise) have a positive impact on the domestic travel intentions of Egyptian millennials. Moreover, the findings point out that all of SMI's credibility elements have a significant effect on domestic travel intentions except for SMI's expertise, which is considered the credibility dimension least affecting the domestic travel intentions of Egyptian millennials. The findings of this study enrich the influencer marketing field in the context of tourism as well as help the destination management organizations (DMOs) and travel agencies select the most persuasive SMIs that can positively influence millennials' travel intentions, specifically in light of the current emphasis on integrating SMIs as one of their marketing techniques. [ABSTRACT FROM AUTHOR]

Background: African countries have not had the high case and death rates from COVID-19 as was predicted early in the pandemic. It is not well understood what factors modulated the rate of COVID-19 cases and death on the continent. Methods: We collated data from the World Bank data site, Our World in Data and Freedom House for African for 54 African countries who are members of the African Union. We used them as explanatory variables in two general linear model regression analyses. COVID cases and deaths per 100,000 obtained from WHO COVID-19 dashboard on August 12, 2021, as outcome variables in two prediction models. Results: GDP, percentage of population under 14 years of age, Maternal Mortality Ratio, number of international tourists visiting per year and public transportation closures were not significant in predicting COVID-19 cases. Higher percentage of unemployed adults in the population, lower percentage of the population over 25 years of age with secondary education, internal travel restrictions increased spread of COVID-19 while international travel restrictions were associated with lower COVID-19 cases per 100,000 population. Higher levels of democratization results in higher cases of COVID-19. Unemployment, education and democratization were still significant for COVID-19 death in the same direction as they were for COVID-19 cases. Number of tourism visitors per year was also associated with higher COVID-19 death rates but not with case rates. Conclusion: In African countries, internal movement restrictions enacted to inhibit COVID-19, had the opposite effect and enabled COVID-19 spread. Low Education levels and high unemployment were associated with having higher death rates from COVID-19. More studies are needed to understand the impact of tourism on COVID-19 and other infectious diseases arising from other regions on African countries, in order to put in place adequate control protocols. [ABSTRACT FROM AUTHOR]

This paper presents a longitudinal study of domestic travel by residents of Southeast Queensland, Australia. It is framed within the distance decay concept. Two major findings emerged from the study. First, people who were most likely to forsake travel as a result of COVID-19 generally did not value it very highly, while those who continued to travel saw it as an important part of their lifestyles. Second, applying the distance decay concept revealed no change in destination choice in intra-destination movements over time, although the volume of tourists was substantially lower as a result of COVID-19. This findings suggests a degree of habit persistence prevails even in times of crisis. [ABSTRACT FROM AUTHOR]

Background: The impact of coronavirus diseases 2019 (COVID-19) related non-pharmaceutical interventions (NPIs) on influenza activity in the presence of other known seasonal driving factors is unclear, especially at the municipal scale. This study aimed to assess the impact of NPIs on outpatient influenza-like illness (ILI) consultations in Beijing and the Hong Kong Special Administrative Region (SAR) of China. Methods: We descriptively analyzed the temporal characteristics of the weekly ILI counts, nine NPI indicators, mean temperature, relative humidity, and absolute humidity from 2011 to 2021. Generalized additive models (GAM) using data in 2011–2019 were established to predict the weekly ILI counts under a counterfactual scenario of no COVID-19 interventions in Beijing and the Hong Kong SAR in 2020–2021, respectively. GAM models were further built to evaluate the potential impact of each individual or combined NPIs on weekly ILI counts in the presence of other seasonal driving factors in the above settings in 2020–2021. Results: The weekly ILI counts in Beijing and the Hong Kong SAR fluctuated across years and months in 2011–2019, with an obvious winter-spring seasonality in Beijing. During the 2020–2021 season, the observed weekly ILI counts in both Beijing and the Hong Kong SAR were much lower than those of the past 9 flu seasons, with a 47.5% [95% confidence interval (CI): 42.3%, 52.2%) and 60.0% (95% CI: 58.6%, 61.1%) reduction, respectively. The observed numbers for these two cities also accounted for only 40.2% (95% CI: 35.4%, 45.3%) and 58.0% (95% CI: 54.1%, 61.5%) of the GAM model estimates in the absence of COVID-19 NPIs, respectively. Our study revealed that, "Cancelling public events" and "Restrictions on internal travel" measures played an important role in the reduction of ILI in Beijing, while the "restrictions on international travel" was statistically most associated with ILI reductions in the Hong Kong SAR. Conclusions: Our study suggests that COVID-19 NPIs had been reducing outpatient ILI consultations in the presence of other seasonal driving factors in Beijing and the Hong Kong SAR from 2020 to 2021. In cities with varying local circumstances, some NPIs with appropriate stringency may be tailored to reduce the burden of ILI caused by severe influenza strains or other respiratory infections in future. [ABSTRACT FROM AUTHOR]

Multimodality refers to the phenomenon of using more than one mode of transport in a given period. Encouraging multimodality potentially provides an effective solution to reduce CO2 emissions and induce modal shifts toward sustainable transport. This research investigates the extent to which the level and correlates of multimodality differ by trip purpose. We used one-week travel diaries of the English National Travel Survey. Our analyses showed that the level of multimodality varied by trip purpose and the associated time-space variability as well as by the number of trip stages. We found that the level of variability in departure time and travel distance was greater for leisure trips than for maintenance trips, which was in turn greater than for work trips. Trips that were more variable in departure time and travel distance showed on average higher levels of individual multimodality, but only if sufficient stages (at least 3) were made. Moreover, we detected cross-purpose disparities in correlates of multimodality in terms of significance and variance explained. This research may provide support to the development of trip purpose-specific policies aiming to increase multimodality. [ABSTRACT FROM AUTHOR]

Predicting transportation mode choice is a critical component of forecasting travel demand. Recently, machine learning methods have become increasingly more popular in predicting transportation mode choice. Class association rules (CARs) have been applied to transportation mode choice, but the application of the imputed rules for prediction remains a long-standing challenge. Based on CARs, this paper proposes a new rule merging approach, called CARM, to improve predictive accuracy. In the suggested approach, first, CARs are imputed from the frequent pattern tree (FP-tree) based on the frequent pattern growth (FP-growth) algorithm. Next, the rules are pruned based on the concept of pessimistic error rate. Finally, the rules are merged to form new rules without increasing predictive error. Using the 2015 Dutch National Travel Survey, the performance of suggested model is compared with the performance of CARIG that uses the information gain statistic to generate new rules, class-based association rules (CBA), decision trees (DT) and the multinomial logit (MNL) model. In addition, the proposed model is assessed using a ten-fold cross validation test. The results show that the accuracy of the proposed model is 91.1%, which outperforms CARIG, CBA, DT and the MNL model. [ABSTRACT FROM AUTHOR]

The restrictions on labor mobility imposed in the COVID-19 pandemic heighten the need to review in detail the role of mobility in improving productivity and fostering economic growth. In this study, we carry out a comprehensive analysis of business visits (BVs) understood as a productivity-enhancing intrapreneurial strategy, using the most extensive set of data available, covering 33 sectors and 14 countries during the period 1998–2013. Our database merges unique information on expenditures on BVs by sector, country, and year, sourced from the US National Business Travel Association, with OECD and World Bank productivity data. We find that BVs raise labor productivity in a significant way, but short-term labor mobility exhibits decreasing returns, being more crucial in those firms, sectors, and countries characterized by less mobility and by lower productivity performances. Plain English Summary: COVID-19 has imposed restrictions on labor mobility and this turns out to be relevant for productivity and economic growth. Business visits (BVs) are a proper proxy (unique information is taken from the US National Business Travel Association) to measure short-term mobility. Sectoral data in 14 countries over the period 1998–2013 are used. Results do reveal that BVs have a positive impact on labor productivity. However, this effect is more relevant in those sectors and economies at a lower stage of productivity evolution, i.e., the lower the initial productivity level, the larger the effect of BVs on productivity. Therefore, BVs play a relevant role in sectors and countries lagging behind in terms of productivity. Policy makers should foster, in the post-pandemic recovery, short-term labor mobility through adequate incentives and tax exemptions, particularly in those sectors where BVs are less frequent and where productivity growth is below the average. [ABSTRACT FROM AUTHOR]

The main objective of the present study is the development of a comprehensive methodology for the estimation of the Carbon Footprint (CF) of research project activities and the identification of the best practices that can be followed by project partners within the project implementation to reduce its carbon footprint. The CF methodology is based on the GHG Protocol Guidance and the emissions factors of the Department for Environment Food & Rural Affairs (DEFRA). The emissions sources related to project activities are the following: heating (from fuels combustion), electricity, water, work-commuting, materials, printable deliverables, IT equipment and events. An application study is performed for a research project focusing on the Mediterranean area and it is found that on-site events represent a 41% share of the total CF of the project. The use of public transport and soft mobility by employees can result in a −37% reduction in the CF of work-commuting. The most significant best practices for more sustainable organization of project events, leading to a reduction of −62% and −50% in the CF of the events, are (1) public transportation and soft mobility of the events' participants to reach the event location within the host city, and (2) the promotion of the use of buses and railway for the international/national travels of participants to/from the event's host city, respectively. Τhe organization of hybrid events may also reduce the project event's CF by −50%. The cumulative reduction in the total CF of the project examined from all the CF mitigation scenarios studied, relevant to the energy-efficient target of the EU, the origin of materials used, work-commuting and events (materials used, transportation, hybrid events), is estimated to be −45%. [ABSTRACT FROM AUTHOR]

The aim of the study is to provide a complex overview of the dimensions of the sense of security of domestic tourists and Hungarians travelling abroad based on a sample of 500 people. Through mathematical-statistical analyses, I identified the main factors that play a role in the respondents' perception of safety, with particular regard to the risks arising during the trip. The survey was conducted in the second half of 2019, before the outbreak of the Covid19 pandemic. In addition to the theoretical aspects, the results of the survey offer a wide range of practical applications for the research, identifying areas where there is an opportunity to intervene at the level of public administrations. Preventive tasks cover crime prevention, environmental safety, more stringent monitoring and enforcement of consumer protection rules, as well as the elimination of financial/transactional risks. [ABSTRACT FROM AUTHOR]