Abstract This work aims to understand the experiences of tourists who traveled during the Covid-19 breakthrough, exploring the emotions and memories of in a chronological context of the trip. The method is qualitative, based on 21 in-depth interviews with Brazilian tourists who started trips between January and March 2020, contemplating experiences in every continent of the world. The data analysis data was based on grounded theory, through open, axial and selective coding. The results demonstrate the particularities experienced in travel experiences during the pandemic, with emotions that permeate happiness, fear, frustration, tension and relief. Still, it discusses how tourists got involved with travel planning, were pressured socially and made risk assessments before traveling. During the trip, unexpected experiences generated the transfiguration of the trip previously planned, the precarious service and helplessness, as well as self-protection behavior (or not) were listed. Finally, tourists reflected on the trip and its consequences. The contributions involve the classification of studies on tourism and Covid-19, and the proposal of a theoretical framework which discusses the emotions and memories of travelers before, during and after the travel experience.

An overview of COVID-19 orders and restrictions in Virginia (as of August 3, 2020).

The objectives of this research are to: (1) analyze the behaviour of Thai tourists traveling in the northern region After Covid-19, and (2) propose guidelines for management Planning tourism marketing for Thai tourists in the northern region for government agencies and entrepreneurs. It is quantitative research using questionnaire surveys with 400 respondents in 17 northern provinces. It was found that the northern province that most Thai tourists visited the most is Chiang Mai. The post covid-19 tourist behaviour of the Thais can be concluded as follow: (1) Thai tourists will use cash for their tourism spending, (2) they will travel as free independent travellers (FIT), (3) they will travel with their family, (4) they will use private vehicle, (5) they will travel 2 times a year, (6) they are likely to travel during the weekends, (7) the travel purpose is for recreation and eating, (8) they like to take pictures, (9) the Thai tourists find travel information mostly from the Internet, and (10) they prefer to spend about 1,001-5,000 baht each trip.The researcher planned to collect questionnaires and interviews with Thai tourists by focusing on finding tourism behavior perception of tourism, the demand for tourism in the post-Covid-19 period, including the use of social media of tourists to analyze the behavior of Thai tourists.

Population/Samples are 400 Thai tourists in 17 northern provinces.

Research Tools: questionnaires and interview forms that has been checked for content validity and validity including through the Human Ethics Committee.Data analysis

    Quantitative data collection, the statistics

were used to analyze the data as follows: 1) descriptive statistics is the statistics used to describe the samples that the researcher has collected data by using frequency, percentage, mean, and standard deviation; and 2) inferential statistics is a statistic that is used to analyze sample data in order to bring the obtained values ​​to explain or refer to the population, including hypothesis testing using Multiple Regression Analysis (MRA)

Access to accurate information during a crisis is essential. However, while the amount of information circulating during the COVID-19 pandemic has increased exponentially, finding trustworthy resources has been difficult for many, including those affected by international travel restrictions. In this study, we examined the information-seeking behaviors of individuals seeking to travel internationally during the COVID-19 pandemic. We also explored perceptions regarding the value of resources in supporting understanding of COVID-19 travel restriction-related information. Two online cross-sectional surveys targeting four groups were conducted. The groups targeted were: (1) citizens and permanent residents stranded abroad; (2) individuals separated from their partners; (3) individuals separated from immediate families; and (4) temporary visa holders unable to migrate or cross international borders. In total, we analyzed 2,417 completed responses, and a further 296 responses where at least 75% of questions were completed. Findings suggest that social media groups (78.4%, 1,924/2,453), specifically Facebook (86.6%, 2,115/2,422) were the most useful or most used information resource for these groups. Some significant information seeking behavior differences across age and gender were also found. Our study highlights the diversity in information needs of people impacted by COVID-19 travel restrictions and the range of preferred channels through which information is sought. Further, it highlights which challenges hold legitimacy in their target audiences' eyes and which do not. Policymakers may use these results to help formulate more nuanced, consumer-tailored—and hence likely more acceptable, trusted, and impactful—communication strategies as part of future public health emergencies.

United States Impact of COVID-19 on Travel Plans: Changed Trip from Intl to Dom data was reported at 19.000 % in Feb 2023. This stayed constant from the previous number of 19.000 % for Jan 2023. United States Impact of COVID-19 on Travel Plans: Changed Trip from Intl to Dom data is updated monthly, averaging 21.500 % from May 2022 (Median) to Feb 2023, with 10 observations. The data reached an all-time high of 26.000 % in Jun 2022 and a record low of 19.000 % in Feb 2023. United States Impact of COVID-19 on Travel Plans: Changed Trip from Intl to Dom data remains active status in CEIC and is reported by Longwoods International. The data is categorized under Global Database’s United States – Table US.Q010: Travel Sentiment. [COVID-19-IMPACT]

This study investigated the effects of COVID-19 on trip reductions and decreases in transit ridership in the Pacific Northwest region of the United States, encompassing Washington, Oregon, Idaho, and Alaska. By utilizing multiple data sources, we found that work-related trips in the region declined by more than 30 percent since March of 2020. In contrast, after the summer of 2020, there was an evident recovery of non-work-related trips (e.g., trips to parks and grocery stores). Our results also indicated that public transit ridership diminished by 40 to 90 percent by May of 2020, and its recovery remained extremely slow even after reopening of the economy. The results of panel regression analysis further suggested that social vulnerability and health insurance coverage were significant predictors of changes in human mobility. In addition, public-transit ridership was more likely to rebound in areas with relatively high COVID-19 infection rates. We concluded the report by arguing that supporting socially vulnerable communities and the public transit workforce will be critical for combating the detrimental social impacts of COVID-19, especially under the phasing out of travel restrictions and stay-at-home orders.

Earlier this year, Dr. Hoffman and Dr. Fafard published a book chapter on the efficacy and legality of border closures enacted by governments in response to changing COVID-19 conditions. The authors concluded border closures are at best, regarded as powerful symbolic acts taken by governments to show they are acting forcefully, even if the actions lack an epidemiological impact and breach international law. This COVID-19 travel restriction project was developed out of a necessity and desire to further examine the empirical implications of border closures. The current dataset contains bilateral travel restriction information on the status of 179 countries between 1 January 2020 and 8 June 2020. The data was extracted from the ‘international controls’ column from the Oxford COVID-19 Government Response Tracker (OxCGRT). The data in the ‘international controls’ column outlined a country’s change in border control status, as a response to COVID-19 conditions. Accompanying source links were further verified through random selection and comparison with external news sources. Greater weight is given to official national government sources, then to provincial and municipal news-affiliated agencies. The database is presented in matrix form for each country-pair and date. Subsequently, each cell is represented by datum Xdmn and indicates the border closure status on date d by country m on country n. The coding is as follows: no border closure (code = 0), targeted border closure (= 1), and a total border closure (= 99). The dataset provides further details in the ‘notes’ column if the type of closure is a modified form of a targeted closure, either as a land or port closure, flight or visa suspension, or a re-opening of borders to select countries. Visa suspensions and closure of land borders were coded separately as de facto border closures and analyzed as targeted border closures in quantitative analyses. The file titled ‘BTR Supplementary Information’ covers a multitude of supplemental details to the database. The various tabs cover the following: 1) Codebook: variable name, format, source links, and description; 2) Sources, Access dates: dates of access for the individual source links with additional notes; 3) Country groups: breakdown of EEA, EU, SADC, Schengen groups with source links; 4) Newly added sources: for missing countries with a population greater than 1 million (meeting the inclusion criteria), relevant news sources were added for analysis; 5) Corrections: external news sources correcting for errors in the coding of international controls retrieved from the OxCGRT dataset. At the time of our study inception, there was no existing dataset which recorded the bilateral decisions of travel restrictions between countries. We hope this dataset will be useful in the study of the impact of border closures in the COVID-19 pandemic and widen the capabilities of studying border closures on a global scale, due to its interconnected nature and impact, rather than being limited in analysis to a single country or region only. Statement of contributions: Data entry and verification was performed mainly by GL, with assistance from MJP and RN. MP and IW provided further data verification on the nine countries purposively selected for the exploratory analysis of political decision-making.

The statistic shows the results of a survey on the average number of short trips among German travelers from 2011 to 2024. The number peaked at ** million trips in 2024. Numbers decreased significantly during the coronavirus (COVID-19) pandemic, but picked up again in recent years.

United States COVID-19 Impact: Upcoming Travel Plans: From Fly to Drive data was reported at 33.000 % in 23 Sep 2020. This stayed constant from the previous number of 33.000 % for 09 Sep 2020. United States COVID-19 Impact: Upcoming Travel Plans: From Fly to Drive data is updated weekly, averaging 26.000 % from Mar 2020 (Median) to 23 Sep 2020, with 21 observations. The data reached an all-time high of 33.000 % in 23 Sep 2020 and a record low of 17.000 % in 25 Mar 2020. United States COVID-19 Impact: Upcoming Travel Plans: From Fly to Drive data remains active status in CEIC and is reported by Longwoods International. The data is categorized under Global Database’s United States – Table US.Q008: Travel Sentiment.

The dataset includes data collected through a survey aimed to study how travel-related decisions of residents of the Puget Sound Region in Washington State have changed as a result of the COVID-19 pandemic. In the survey, we asked each respondent about their travel behavior before and during the pandemic, what they expect their future (after the pandemic) travel choices would look like, and several socio-economic and psychometric questions. We used Google Forms as our data collection platform. A PDF of the questionnaire and meta data which explains each column are included with the data file. The survey was advertised through the Facebook page of the UW Civil and Environmental Engineering Department, and was live for 14 days (June 26-July 9, 2020). Ads were run on Facebook, Instagram, Messenger, and other social media platforms owned by Facebook, and were set to be shown only to the residents of the Puget Sound region in Washington State (King, Snohomish, Kitsap and Pierce counties). As an incentive to participate, respondents were entered in a drawing for their choice of an Apple iPad or a Microsoft Surface tablet (retail price of about $400). The ads reached 49,146 people, of which 2,018 people (4.10%) clicked on the ad and opened the survey. Of the 2,018 people who clicked on the survey link, 1389 individuals completed the survey (68.83%). After data cleaning, we ended up with 1310 valid responses.

Chapter 3 dataset title: Pre- and During-pandemic Commute Mode Choice of Essential Workers at the University of Washington Chapter 4 dataset title: Focus group discussion on the pandemic effects on Essential Workers commute experience and needs at the University of Washington. Chapter 5 dataset title: Survey response from students at the University of Idaho. Essential worker dataset was used for the quantitative analysis in Chapter 3 "Examining Commute Mode Choice of Essential Workers Before and During the COVID-19 Pandemic Using Travel Survey Data". It was extracted from the University of Washington Transportation Needs Assessment Survey conducted by the university’s Transportation Services (UWTS) in Autumn 2020. The dataset provides information about 279 essential workers' mode choices before and during the COVID-19 pandemic, prospects of commuting after the pandemic, and sociodemographic and home location characteristics. The dataset does not include any individually identifiable information for any employees. Details of the survey design and variables are described in the report. The survey response from students at the University of Idaho includes three surveys: Phase 1 Spring Survey, Phase 2 Before Survey, and Phase 2 After Survey. The surveys were collected through an online questionnaire. Details of the survey design and variables are described in the report.

IntroductionThe Go To Travel campaign in Japan was launched to subsidize travel and accommodation costs for tourists through vouchers that could be used at domestic destinations. Infection prevention behavior can lead to refraining from travel owing to infection concerns; conversely, taking preventive action can promote travel. There is a lack of information about the association between infection prevention behaviors and desire to travel. During a pandemic of infection, there is the difficult challenge of balancing the promotion of infection prevention behavior with economic revitalization. Thus, we examined the relationship between personal infection prevention behaviors and using Go To Travel.MethodsWe conducted a cross-sectional study of 26,637 workers who responded to a large-scale questionnaire survey about COVID-19 in Japan. We built multilevel logistic regression models adjusted for confounders to assess the association between each personal infection prevention behavior and using Go To Travel. We analyzed the seven infection prevention behavior individually: wearing a mask when among other people; disinfecting hands with alcohol before going indoors; washing hands after using the toilet; gargling upon returning home; opening a window to ventilate a room; carrying an alcohol sanitizer; and disinfecting hands after touching objects outside.ResultsAmong the 26,637 participants, 7,959 (30%) used Go To Travel. For “wearing a mask in the presence of others” and “washing hands after using the toilet,” the majority of respondents answered “almost always: 86.5 and 85.6% respectively. Action “carrying alcohol disinfectant” was the least implemented, with 36.9% of respondents saying “almost never.” Two of the seven preventive behaviors (“disinfecting hands with alcohol before going indoors” and “carrying alcohol disinfectant”) were positively related to using Go To Travel, that is, the more of these actions they took, the more they used Go To Travel (p for trend

Market Summary Corporate Travel Security Market:

• Global Corporate Travel Security market size 2023 was XX Million. Corporate Travel Security Industry compound annual growth rate (CAGR) was XX% from 2024 till 2031. • A rise in corporate travel due to globalization increases the demand for corporate travel Security Market and the efficiency of corporate travel security systems is increased by using AI-driven technologies, which gives an opportunity to propel market expansion. • The COVID-19 had a negative impact on market as there were strict regulations, people were not allowed to travel which affected the corporate travel market and eventually the corporate travel security market. • Rise in the importance of corporate travel safety, a lot of companies are coming up with new services for the safety of employees. Along, with this joint-ventures and collaborations are also taking place. • North America is the dominant region is this market because of its robust economy and wide range of industries, it is a major hub for business travel. Market Dynamics of Corporate Travel Security Market:

Key Drivers:

A rise in corporate travel due to globalization increases the demand for corporate travel Security Market

In the context of worldwide corporate expansion, in-person meetings, discussions, and cooperation become increasingly important. Establishing connections, having direct conversations, and looking into fresh business prospects are all made easier by business travel. Corporate business travel can open up for business expansion by reaching new markets, establishing connections with a larger pool of potential customers, or building brand recognition and reputation. Executives and staff may have the opportunity to travel for business purposes in a variety of ways, including attending conferences, meetings, industry networking events, and fairs. Alternatively, a trip could benefit from educational possibilities including workshops, seminars, and training sessions. Retreats and escorted excursions can provide worthwhile opportunities for team-building in novel settings that foster diverse viewpoints and solidify collaborative connections. Individuals reap numerous advantages from business travel, such as interacting with coworkers, advancing their careers through various experiences, building industry networks, and exploring new places. Security and safety for business travelers are of utmost importance when travelling for business. Many personnel, such as sales representatives, client service managers, consultants, conference and events workers, rely on business travel for logistical reasons. For Instance, The Global Business Travel Association (GBTA) projects that business travel in India would increase by 18.3% in 2024 due to growing corporate earnings and foreign direct investment. It is anticipated that Indian businesses will have spent $32.3 billion on events, conferences, business travel, and meetings in 2023. India's spending on business travel increased by 24.7% last year, but it fell short of other major Asia Pacific (APAC) nations. (Source:https://www.thehindubusinessline.com/economy/business-travel-in-india-gains-momentum-to-reach-pre-covid-level-in-2025-gbta-outlook/article67891890.ece) Hence, as the corporates travel, their safety becomes of utmost importance. For example, the arranging the necessary legal documents, proper hotel bookings, pre-cab booking from airports, emergency numbers, medical support, food and hygienic standards should be maintained for the employees for the smooth functioning of the work related to their businesses.

Key Opportunity:

The efficiency of corporate travel security systems is increased by using AI-driven technologies, which gives an opportunity to propel market expansion

AI algorithms can enable to evaluate travel habits and preferences and generate intelligent suggestions for travel, lodging, and transportation. This saves time by letting one make well-informed decisions rather than wasting it researching prices and options. By evaluating information from a variety of sources, such as travel alerts and other real-time data that can help guarantee travellers' safety and security, artificial intelligence (AI) can also assist businesses in evaluating possible dangers related to business travel. Whethe...

The 2021 travel to work matrix estimated from our aggregate spatial modelling with assumed coronavirus (COVID-19) commuting travel behaviours. The data use the Middle Layer Super Output Area 2011 boundaries covering England and Wales. The first column is origin (where people live) and the first row is destination (where people work). Corresponding values show the number of commuters travelling between origin and destination. These are experimental data and should not be used to make decisions.

Objectives: The article analyzes the existence of bilateral travel restrictions between European countries during the second wave of the Sars-CoV-2 pandemic. The paper tests three sets of theoretically derived predictions, which follow epidemiological, economic, and political logics. Method: We analyze a sample of directed bilateral travel restrictions between 27 European countries: 27.26 = 702 country dyads over a period of 6 months during the second wave of the pandemic. Results: We find robust and relevant results for the difference in incidence rates, for income from tourism, for trust in government and public administration and for political inclusiveness. Conclusion: Our analyses demonstrates that economic and political logics exert a strong influence on containment measures and thus stress the relevance of forming a large societal and political coalition against the pandemic.

Travel bans were a globally prevalent policy response to the COVID-19 pandemic. In the United States, travel bans against China and European countries proved a broadly popular mitigation tool among Americans. Why did Americans support COVID-19 travel bans? We fielded two novel survey experiments, surveying 3,000 American citizens across five waves (between March 2020 – March 2021). In randomizing the country of origin of those potentially subject to travel ban measures, we find consistent evidence that racial attitudes drive support for travel bans. The strength of this relationship varies across political parties and across hypothetical target countries but is not explained by objective caseloads that change across countries and over the course of the pandemic.

Revenue in the Tour Operators industry in Europe is anticipated to grow at a compound annual rate of 13.5% to €69 billion over the five years through 2025. The decline in revenue for much of the period is predominantly due to the damage the COVID-19 outbreak inflicted on the travel sector over the two years through 2022. Customers were unable to travel abroad or domestically. Since restrictions were eased (at different intervals across different countries), holiday numbers have increased both domestically and internationally, which has seen an influx in bookings for European tour operators. Travel in Europe was 6.2% higher in 2024 than its pre-pandemic 2019 level, as recorded by the European Travel Commission, and many Europeans have sought advice and booked tours to travel to their dream destinations. Revenge travel was a trend tour operators became quickly accustomed to, with customers hungry for trips after being locked in for so long during the COVID-19 outbreak. Whilst high inflation in recent years has curbed demand with people’s pockets squeezed, savings during COVID-19 and people’s prioritisation of travel as their luxury purchase has kept bookings high. People are still booking lots of trips in 2025, but are looking for value for money. This is raising bookings in lesser frequented countries, which is encouraging tour operators to offer more packages in new countries to offer budget getaways for price sensitive customers. As a result, tour operator’s revenue is set to grow 0.3% in 2025. The weather continues to dictate seasonal demand, despite an uptick in off-season holidays, and destinations that tour operators target for trips, whilst geopolitical tensions have customers wanting the protection of booking through a travel operator. Revenue is expected to grow at a compound annual rate of 4.6% over the five years through 2030 to €86.2 billion. Tour operators will continue to benefit from the growing travel industry, with people keen to travel for once-in-a-lifetime trips, city breaks, walking tours, culinary hotspots and beach retreats. Tour operators that give their customers more flexibility and the ability to book at the last minute will see significant demand as Europeans opt to travel at the last minute to reduce the risk of cancellations and airport strikes. Operators will face the challenge of adjusting packages, deals and holiday destinations to suit changing preferences. Sustainable travel tours are a growing market as travellers aim to travel more responsibly and lessen the environmental impact of tourism, which will encourage more operators to appeal to the environmentally conscious traveller.

The COVID-19 pandemic has devastated the global tourism industry. This study explores why some Chinese residents travel during the pandemic. A mixed-methods research design was adopted, guided by the health belief model and relevant literature. Through 21 interviews with Chinese tourists who took an overnight leisure trip in May 2020, and a national survey among Chinese residents, this study explored factors influencing Chinese residents’ travel-related decisions and behaviors during the pandemic. Results outline the influences of health beliefs, government trust, past travel experience, and psychological capital on tourists’ risk-reduction behaviors. Theoretical and practical implications are provided regarding tourism recovery during pandemics.

Context

Covid-19 Data collected from various sources on the internet. This dataset has daily level information on the number of affected cases, deaths, and recovery from the 2019 novel coronavirus. Please note that this is time-series data and so the number of cases on any given day is the cumulative number.

Content

The dataset includes 28 files scrapped from various data sources mainly the John Hopkins GitHub repository, the ministry of health affairs India, worldometer, and Our World in Data website. The details of the files are as follows

• countries-aggregated.csv A simple and cleaned data with 5 columns with self-explanatory names. -covid-19-daily-tests-vs-daily-new-confirmed-cases-per-million.csv A time-series data of daily test conducted v/s daily new confirmed case per million. Entity column represents Country name while code represents ISO code of the country. -covid-contact-tracing.csv Data depicting government policies adopted in case of contact tracing. 0 -> No tracing, 1-> limited tracing, 2-> Comprehensive tracing. -covid-stringency-index.csv The nine metrics used to calculate the Stringency Index are school closures; workplace closures; cancellation of public events; restrictions on public gatherings; closures of public transport; stay-at-home requirements; public information campaigns; restrictions on internal movements; and international travel controls. The index on any given day is calculated as the mean score of the nine metrics, each taking a value between 0 and 100. A higher score indicates a stricter response (i.e. 100 = strictest response). -covid-vaccination-doses-per-capita.csv A total number of vaccination doses administered per 100 people in the total population. This is counted as a single dose, and may not equal the total number of people vaccinated, depending on the specific dose regime (e.g. people receive multiple doses). -covid-vaccine-willingness-and-people-vaccinated-by-country.csv Survey who have not received a COVID vaccine and who are willing vs. unwilling vs. uncertain if they would get a vaccine this week if it was available to them. -covid_india.csv India specific data containing the total number of active cases, recovered and deaths statewide. -cumulative-deaths-and-cases-covid-19.csv A cumulative data containing death and daily confirmed cases in the world. -current-covid-patients-hospital.csv Time series data containing a count of covid patients hospitalized in a country -daily-tests-per-thousand-people-smoothed-7-day.csv Daily test conducted per 1000 people in a running week average. -face-covering-policies-covid.csv Countries are grouped into five categories: 1->No policy 2->Recommended 3->Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible 4->Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible 5->Required outside the home at all times regardless of location or presence of other people -full-list-cumulative-total-tests-per-thousand-map.csv Full list of total tests conducted per 1000 people. -income-support-covid.csv Income support captures if the government is covering the salaries or providing direct cash payments, universal basic income, or similar, of people who lose their jobs or cannot work. 0->No income support, 1->covers less than 50% of lost salary, 2-> covers more than 50% of the lost salary. -internal-movement-covid.csv Showing government policies in restricting internal movements. Ranges from 0 to 2 where 2 represents the strictest. -international-travel-covid.csv Showing government policies in restricting international movements. Ranges from 0 to 2 where 2 represents the strictest. -people-fully-vaccinated-covid.csv Contains the count of fully vaccinated people in different countries. -people-vaccinated-covid.csv Contains the total count of vaccinated people in different countries. -positive-rate-daily-smoothed.csv Contains the positivity rate of various countries in a week running average. -public-gathering-rules-covid.csv Restrictions are given based on the size of public gatherings as follows: 0->No restrictions 1 ->Restrictions on very large gatherings (the limit is above 1000 people) 2 -> gatherings between 100-1000 people 3 -> gatherings between 10-100 people 4 -> gatherings of less than 10 people -school-closures-covid.csv School closure during Covid. -share-people-fully-vaccinated-covid.csv Share of people that are fully vaccinated. -stay-at-home-covid.csv Countries are grouped into four categories: 0->No measures 1->Recommended not to leave the house 2->Required to not leave the house with exceptions for daily exercise, grocery shopping, and ‘essent...