Future Travel Research Articles

Emerging trends in household travel survey programs

Transportation planners use household travel surveys to understand travel behavior, whether to develop forecasts of travel activity using travel demand or simulation models, to analyze personal motivations that drive the decision to travel, to identify users of existing transportation infrastructure and services, or to determine responsiveness to available or future travel options. Large urban area transportation planning organizations are faced with making decisions on their next household travel surveying effort to meet growing data needs. The New York Metropolitan Transportation Planning Council (NYMTC) has focused attention on surveying options, including conducting a pilot study to evaluate the ability to collect household travel data using a smartphone app. This research reviews current travel surveying strategies aimed at improving timeliness and accuracy, while reducing participant burden (e.g., using smartphone technologies). It also includes a vision for a long-term data program, facilitated by the establishment of a regional Community of Practice (CoP) to support multi-agency data collection efforts.

On samples, data, and their mobility in biobanking: How imagined travels help to relate samples and data

Biobanking involves the assembling, curating, and distributing of samples and data. While relations between samples and data are often taken as defining properties of biobanking, several studies have pointed to the challenges in relating them in practice. This article investigates how samples and data are curated, connected, and made mobile in practice. Building on an analysis of data collected at five hospital-based biobanks in Austria, the article describes and compares biobanking in three types of biobank collections: ‘departmental collections’, ‘project-specific collections’ and ‘hospital-wide collections’. It draws attention to the invisible work going into this infrastructure and highlights the central role of visions to make samples and data travel to a different location and thus support biomedical research. It shows that while visions of future travels are often epistemologically uncertain, they are informed by social ties and relationships between the collectives involved in the curation of samples and data on the one hand and the imagined users on the other. Finally, we point to the importance that policy actors in this domain consider the aspects we identified—and, in particular, reflect the temporalities inherent in such a research infrastructure.

How Would Covid-19 Survivors Travel?: A Study on Travelling Behavior Bali Domestic Tourists

This study aims to discover how tourists whose background as COVID-19 survivors and the perceived health-related risks when traveling and how it affects their travel behavior in the future. This research is motivated by the lack of study on tourist traveling behavior, particularly from a specific segment of respondents. These respondents are tourists who were diagnosed positive for COVID-19 and have already recovered from it and are currently on vacation in two areas in Bali, Denpasar, and Badung. Sampling in this study is based on a purposive convenience sampling method through questionnaires distributed online and offline. In addition, The author uses Roscoe's Theory as a baseline in obtaining the minimum number of respondents, where a total of 100 respondents were gathered on the field. The author used multiple linear regression analysis to analyze the data collected from this research. The results of this study found that: (1) perceived health risks do not have a significant influence on future travel behavior; (2) tourists’ conditions as COVID-19 survivors have a significant influence on future travel behavior; and (3) simultaneously, health risks and tourists’ conditions as COVID-19 survivors influence future travel behavior. This study concludes that reducing perceived health risks and improving the health conditions of tourists as Covid-19 Survivors will improve their travel behavior in the future. The limitations of this study can also be used as suggestions for further research.

코로나19 이후 여행 패러다임 변화에 따른 업계의 과제

COVID-19 has brought the domestic and foreign tourism markets to a standstill causing difficulties in the overall travel industry, and in particular, it has spread the uncertainty of employment. As such, society is faced with a global health crisis due to COVID-19, which has never experienced before, and the aftermath of it has been acutely felt in the travel industry. Not only that, the COVID-19 pandemic has changed the way people think about our society and travel. Therefore, all tourism policies should successfully lead the transition to an eco-friendly future in order to further reduce the social, psychological and physical risks caused by infectious diseases. In addition, the pandemic has brought upon an opportunity to find a way to ensure future safe travel with confidence, not only in the travel-related industry, but also among domestic citizens. Accordingly, this study aims to restore the value chain of the travel industry through the establishment of strategies in the era of COVID-19 in line with the trend of the changing paradigm of travel. Based on the results of the study, strategies for the travel industry to prepare for future crises were presented.

Determining contract conditions in a PPP project among deep uncertainty in future outturn travel demand

Determining contract conditions in a PPP project among deep uncertainty in future outturn travel demand

Co-creation experience in travel photography service: exploring the formative mechanism of repurchase intention from the perspective of script theory

ABSTRACT This research aims to clarify the core attributes of travel photography service, and how it may be possible to cultivate tourist loyalty to this service when travelling to the next destination. A mixed method with two studies was conducted to answer these questions. Study 1 adopted semi-structured interviews and thematic analysis to identify the key variables and their potential relations. The results showed that co-creation experience in travel photography was mainly composed of sense seeking, multi-actor interaction, and active participation, which played an extremely important role in tourists’ cognitive memory, service outcome evaluation, and future travel decision-making. To further verify the relationship between variables, study 2 used a survey to explore the formative mechanism and boundary conditions of the co-creation experience on tourist repurchase intention. The results indicated the co-creation experience was positively associated with repurchase intention. Memory recollection and photo satisfaction both mediated this relationship. Inertia positively moderated the relationships between co-creation experience, memory recollection and photo satisfaction on repurchase intention. These effects were stronger when individual inertia was high. This study also provides practical insights into how it may be possible to cultivate travel service loyalty in destination marketing.

A transient hydrodynamic model of screen channel liquid acquisition devices for in-space cryogenic propellant management

Screen channel liquid acquisition devices (LADs) will play a crucial role in future deep space travel. It is essential that vapor-free delivery of propellants during tank-to-tank transfer is ensured to maximize yield from storage tanks and prevent potential combustion instabilities. The screen channel LAD utilizes a fine screen wire mesh that can separate phases in a low Bond number (i.e., microgravity) environment using surface tension forces. This study presents the development and verification of a new model for transient screen compliance, one of the influential factors for screen channel LAD design. Screen compliance is crucial during LAD channel outflow transients because the slight deflection of the screen can provide needed mass to satisfy rapid outflow demands and reduce the pressure difference across the screen. The model is successfully verified against computational fluid dynamics simulations. In addition, the characteristic speed for the governing screen compliance equations is derived, which allows for numerical stability criteria to be established. As shown in this study, the transient maximum pressure difference across the screen can greatly exceed the steady state maximum pressure difference across the screen in many cases.

Imagining and co-creating futures of sustainable consumption and society

With the increasing pressure on the climate from human activities, it is urgent to envision and facilitate radically different ways of life that allow for significantly lower greenhouse gas emissions. This only happens if policy and action initiatives go beyond discursive practices that treat climate change mitigation as a matter of technological fixes, and individual behavioural change. Decades of research on the sociology of consumption show that lifestyle changes are as much about changes to norms and ideas about what ‘a good life’ is as they are about access to the necessary competences, infrastructures and sustainable alternatives. Acknowledging the growing body of sociological research that seeks to understand how expectations of the future shape processes of social change in the present, more attention could be paid to the role of discourse, narratives and storying when it comes to making efforts towards carbon neutral climate futures. Taking as a point of departure a futuring methodology called the Future Travel Workshop, this article discusses the potential role of stories through Moezzi et al’s (2017) notion of stories as inquiry and stories as process for futurity. Comprised of three sessions, the workshop explores what future everyday lives and societies might look and feel like. Each session is framed by a set of narratives on climate related problems of the present, and how these problems affect the way we think about futures. Interestingly, the participants’ imagined futures went from technologically utopic and tension-free towards tense and radically different conceptions of the needed levels of societal reorganisation.

Exploring the Efficiency of Future Multimodal Networks: A Door-to-Door Case in Europe

It is expected that future transportation technologies will positively impact how passengers travel to their destinations. Europe aims to integrate air transport into the overall multimodal transport network to provide better service to passengers, while reducing travel time and making the network more resilient to disruptions. This study presents an approach that investigates these aspects by developing a simulation platform consisting of different models, allowing us to simulate the complete door-to-door trajectory of passengers. To address the future potential, we devised scenarios considering three time horizons: 2025, 2035, and 2050. The experimental design allowed us to identify potential obstacles for future travel, the impact on the system’s resilience, and how the integration of novel technology affects proxy indicators of the level of service, such as travel time or speed. In this paper, we present for the first time an innovative methodology that enables the modelling and simulation of door-to-door travel to investigate the future performance of the transport network. We apply this methodology to the case of a travel trajectory from Germany to Amsterdam considering a regional and a hub airport; it was built considering current information and informed assumptions for future horizons. Results indicate that, with the new technology, the system becomes more resilient and generally performs better, as the mean speed and travel time are improved. Furthermore, they also indicate that the performance could be further improved considering other elements such as algorithmic governance.

Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction

Travel time analysis and prediction are keystones for building intelligent transportation systems in the new era, which has gained wide attention from the research community. Over the last few years, deep learning-based approaches have demonstrated the capability to predict travel time with big data. However, the existing works focused on predicting short-term travel time for paths and roads. In fact, knowing a period of long-term future travel time is a demand with important applications like traffic management and schedule routing planning. Nevertheless, studies on long-term traffic prediction are still very limited due to the complicated underlying factors. In this paper, we propose a novel deep learning-based framework named Periodic Attention-based Stacked Sequence to Sequence (PASS2S), which aims to address the long-term traffic prediction problem. PASS2S consists of two main components, namely periodic segment generation and attention-based stacked sequential prediction. To extract periodic information, we design a periodic segment generation component to capture historical periodic segments from the traffic data. To reduce the error propagation and improve long-term prediction accuracy, we propose an attention-based stacked prediction component to model long short-term and short-term dependencies from the periodic segments. We conducted a series of experiments on a real-world travel time dataset and the experimental results show that our proposed approach outperforms the state-of-the-art competing methods in terms of various metrics like MAE, RMSE, and SMAPE. To the best of our knowledge, this is the first work that considers attentive periodic historical information for solving the long-term travel time prediction with a period of the future, which has not been well studied in the research community.

Impact of perceptions and attitudes on air travel choices in the post-COVID-19 era: A cross-national analysis of stated preference data

The COVID-19 pandemic and the consequent travel restrictions have had an unprecedented impact on the air travel market. However, a rigorous analysis of the potential role of safety perceptions and attitudes towards COVID-19 interventions on future air passenger choices has been lacking to date. To investigate this matter, 1469 individuals were interviewed between April and September 2020 in four multi-airport cities (London, New York City, Sao Paulo, Shanghai). The core analysis draws upon data from a set of stated preference (SP) experiments in which respondents were asked to reflect on a hypothetical air travel journey taking place when travel restrictions are lifted but there is still a risk of infection. The hybrid choice model results show that alongside traditional attributes, such as fare, duration and transfer, attitudinal and safety perception factors matter to air passengers when making future air travel choices. The cross-national analysis points towards differences in responses across the cities to stem from culturally-driven attitudes towards interpersonal distance and personal space. We also report the willingness to pay for travel attributes under the expected future conditions and discuss post-pandemic implications for the air travel sector, including video-conferencing as a substitute for air travel.

Cold pressurant gas bubble point experiments for coarse mesh screen channel liquid acquisition devices in liquid nitrogen

Screen channel liquid acquisition devices (LADs) will play a crucial role in future deep space travel. It is essential that vapor-free delivery of propellants during in-space transfer is ensured to maximize yield from storage tanks and prevent potential combustion instabilities. The screen channel LAD utilizes a fine screen wire mesh that can separate phases in a low Bond number (i.e. microgravity) environment using surface tension forces. This paper presents cryogenic liquid nitrogen (LN2) screen channel LAD bubble point experiments focused on coarser mesh screens. A total of 14 different screen types are tested across a range of cryogenic liquid temperatures near the screen (70.8 − 80.0 K) and dewar pressures (∼101.3 – 156.5 kPa or ∼0 – 8 psig) for two pressurization schemes (noncondensable gaseous helium and autogenous pressurization with gaseous nitrogen) to examine the effect of pressurant gas type on LAD performance. Cold pressurant gas bubble point test results for coarser meshes shown here agree almost perfectly with historical trends using fine mesh screens. Pressurization with a noncondensable generally leads to higher bubble point due to evaporative cooling at the LAD screen while pressurization with the vapor generally leads to degradation in performance due to condensation of the vapor and subsequent interfacial heating.

A Two-Step Model for Predicting Travel Demand in Expanding Subways

In many cities, subways are expanding with new or extended lines being built and put into operations. The prediction of future travel demand in subway with the planned expansion is of significant importance because such information is crucial for new line planning and new network operations. In this study, we identify the determinant features from potential influential factors of passenger travel demand and develop a two-step model for predicting passenger travel demand in expanding subways. The proposed model is tested in an actual subway with a new line being put into operations, and achieves higher prediction accuracy than the benchmark models.

How will multifaceted trust impact domestic travel during the COVID-19 pandemic and subjective well-being? A comparison between Korea and the US

This study examines the impact of extended tourist trust constructs on domestic travel experiences, subjective well-being, and future travel intention in the pandemic. Data was obtained through a survey conducted on 1181 Korean and American domestic tourists. The results show that policy trust and destination trust have positive effects on travel frequency and satisfaction. Moreover, interactional trust positively impacted travel satisfaction. While both travel frequency and travel satisfaction have positive impacts on subjective well-being of travelers, travel satisfaction has a stronger impact on subjective well-being than travel frequency. However, certain relationships were influenced by national backgrounds (U·S vs. Korea).

Состояние и перспективы развития внутреннего туризма в Республике Татарстан (по материалам эмпирического исследования)

The results of the research conducted by the author made it possible to identify the key orientations of residents of the Republic of Tatarstan in the field of domestic tourism in the post-pandemic and sanctions regime. The analysis showed that the ma-jority of respondents have made self-organized tourist trips in the region over the past two years, which places high demands on the level of development of tourism and in-formation infrastructure in the republic. Most of the respondents are aimed at one-two-day trips around Tatarstan, weekend tours, the costs of which do not exceed 5 thousand rubles per person. Respondents gave preference to active tourism within the republic, but also indicated recreation at the beach and in the country among the pop-ular activities, which in today's realities can compensate for trips abroad or expensive resorts in Russia. The popularity of educational and event tourism for respondents is revealed, which is due to the rich history of the region. Kazan has confirmed its first place in the ranking of the most popular tourist destinations among the residents of the republic, but in the perspective of future travel, small cities of the region with an original history and culture or with the potential of industrial tourism figure. Based on the facts characterizing the state of domestic tourism in the republic, the prospects for its development are determined: activation of event tourism, creation of tourist products for various age categories, further digitalization of the tourism industry of the republic, development of tourist branding of small towns, training of qualified personnel for tourism and hospitality.

Travel decision making during and after the COVID-2019 pandemic: Revisiting travel constraints, gender role, and behavioral intentions.

The COVID-19 pandemic has deeply influenced the tourism and hospitality industry, and it has also reshaped people’s travel preferences and related behaviors. As a result, how prospective travelers perceive travel constraints and their effects on future travel behaviors may have changed to some extent. Besides, such perception arguably varies across gender. Therefore, this research examines the interplay between travel constraints, gender, and travel intentions for facilitating robust tourism recovery by revisiting the Leisure Constraints Model (LCM) from a gender perspective. Data were collected through a survey from 357 Malaysian prospective travelers. By conducting path analysis and multigroup analysis (MGA), it is found that structural and interpersonal constraints impose indirect effects on travel intentions (mediated by intrapersonal constraints), and gender moderating the effect of structural cost on intrapersonal constraints and effect of intrapersonal constraints on travel intentions. Based on these findings, this research provides theoretical and practical implications into how to adjust their marketing strategies and travel products during the era of “new normal” for tourism policy makers, destination marketers, and related businesses.

Orientation and Mobility Assessments for Children and Youths With Visual Impairments: How, Why, When, and Where?

Introduction: This study analyzed survey responses from 114 orientation and mobility (O&M) specialists regarding the content and procedures they used in completing O&M assessments. Methods: O&M specialists completed an online survey in 2020 on their assessment practices for children and youths who are visually impaired. Results: Over 85% of participants identified that they interview the student, parent, classroom teacher, and teacher of students with visual impairments as part of the assessment. The only visual skills addressed by at least 80% of participants were depth perception, distance acuity, scanning, and peripheral visual fields. Students without additional disabilities in kindergarten through 12th grade were more likely to be taught the two-point touch cane technique when compared to students with additional disabilities, who were more likely to be taught constant contact. Discussion: Participants identified that O&M assessments for students in 9th–12th grade were more likely to focus on skills that would be needed for employment or post-secondary education or both, such as the use of public transportation. For students with additional disabilities or children under the age of five years, participants were more likely to conduct assessments focused on safety and immediate needs and environments. Implications for Practitioners: Appropriate O&M assessments need to be conducted in natural environments that provide equal challenges to the environments where students need to travel. O&M specialists must adapt the assessment content and procedures to address the current and future travel needs of all students with visual impairments.

Constructing Cooperative Intelligent Transport Systems for Travel Time Prediction With Deep Learning Approaches

Drivers and traffic system planners require accurate forecasting of future travel times. To alleviate traffic congestion on Taiwan’s Provincial Highway No. 61, this study considers temporal (weekdays, weekends or continuous holidays) and spatial characteristics (road types), and establishes short-term and long-term travel time prediction models. Data pre-processing is accomplished using the Google Maps API and floating car method to verify travel time comparisons, finding that post-processing travel times are reliable, credible and reasonable. This study develops a collaborative intelligent transportation system (CITS) based on 9 different algorithms for the prediction of current and future travel-time. The results show that <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> NN-R provides the most accurate short-term predictions, with average prediction error within 20 seconds per kilometer. For long-term forecasting, SARIMAX and fbProphet provide the most accurate results for weekday and continuous holiday modes. Travel time prediction can assist traffic management agencies in the timely implementation of appropriate traffic management measures. CITS also provides real-time traffic query and travel time prediction functions to help drivers avoid traffic congestion.

Travelers and travel vaccines at six health care systems in the Vaccine Safety Datalink

BackgroundStudying the safety of travel vaccines poses challenges since recipients may be traveling during the risk window for adverse events and the identification of a suitable comparison group can also be difficult. The examination of traveler characteristics, travel vaccination patterns, and health care utilization using electronic health record (EHR) data can inform the feasibility of future travel vaccine safety studies. MethodsA retrospective cohort study of health plan members in the Vaccine Safety Datalink Project aged 9 months and older who had a travel-related encounter or received a travel vaccine from 2009 to 2018 was performed. Travel regions visited, travel duration, type of travel vaccine received (typhoid, yellow fever, Japanese encephalitis, rabies, and cholera), and timing of vaccination date before departure date were described. Sociodemographic information, clinical characteristics, and health care utilization were compared between travelers who received travel vaccines and travelers who did not. ResultsA total of 1,026,822 unique travelers departing from the United States were identified; 612,795 travelers received 898,196 doses of travel vaccines. The most commonly administered travel vaccine was typhoid vaccine and 77% of all travel vaccines were given more than one week prior to departure. Compared with travelers without travel vaccines, travelers with travel vaccines were overall similar but as a group were slightly younger, healthier, and had lower Hispanic representation. Health care utilization dramatically decreased during travel. Outpatient visits decreased from 294.8 visits per 10,000 person-days before travel to 24.2 visits per 10,000 person-days during reported travel dates. ConclusionsThrough the EHR information from almost a million travelers, a departure date and duration of travel were successfully captured for the majority of travelers with corresponding health care utilization data. Time after vaccination and prior to departure can potentially be used in the future to compare travelers who receive travel vaccines with travelers who do not receive travel vaccines when looking at adverse events of interest after vaccination.

지난 여정의 지도에서 내일을 보다

The Korean Society for Teaching English Literature (KSTEL), founded in August 1992, celebrates its 30th anniversary this year in 2022. At this point, it will be meaningful to look back and reflect on the past journey of KSTEL and to anticipate and prepare for the future. For this purpose, ‘archiving’ academic achievements of KSTEL so far is a course that must be taken in preparation for the future, and will be a necessary step at this moment of time when the past and the present meet and, at the same time, the present encounters the future. This paper aims to survey the ‘English drama education’ articles published in The Journal of Teaching English Literature of KSTEL from the first issue in 1996 to the 2021 winter issue, and to track changes and trends in pedagogy as well as research methodology and themes during the period. In addition, while commemorating the 30th anniversary of KSTEL, it also intends to serve the purpose of ‘archiving’ the scholarly research and achievements in English drama education papers published in The Journal of Teaching English Literature, as a work of looking back on the past journey of KSTEL and subsequently creating a map for future travel.