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The COVID-19 pandemic severely hit the tourism industry in China and worldwide. Chinese government adopted extensive nonpharmaceutical interventions (NPIs) to control it. COVID-19 has been well under control since April 2020 and China entered into a unique recovering period. The aim of this study is to examine how the COVID-19 pandemic changed residents' travel behaviors and intentions and investigate the theoretical factors associated with these changes during the pandemic and the recovery period. This study used a mixed-methods approach by combining quantitative surveys (N = 1,423) and qualitative interviews (N = 34). We extended the theory of planned behavior (TPB) to include other emerging factors in the context of the COVID-19 pandemic, such as risk perception, tourist trust, and charitable attitude. Our findings show that COVID-19 changed respondents' travel preferences in different ways, for example, tend to choose natural/outdoor/uncrowded attractions over cultural/indoor/crowded attractions. Second, respondents' domestic travel behaviors and intentions were positively associated with constructs in TPB, charitable attitude to contribute to the recovery of the tourism industry, tourists' trust in domestic COVID-19 control, and awareness of destinations' promotion strategies, while domestic travel intentions were negatively associated with risk perception. Third, concerns about the international COVID-19 control and travel restrictions were the two major factors affecting residents' intentions to travel abroad. Finally, we highlighted the management implications including implementing strict preventive measures while improving the effectiveness, increasing tourists' trust, and adopting diverse marketing and promotion strategies.
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This data article analyzes the changes in travel habits and destination preferences among Thai domestic travelers before and after the COVID-19 pandemic. The data was collected through an online survey conducted on Facebook, Line, and Instagram, with a sample size of 460 valid respondents. The article provides descriptive statistics and frequency data on travel behavior and attitudes related to various tourist attractions before and after the onset of the pandemic. These insights can be valuable for transportation and tourist destination management in Thailand, as they can be used to compare with other studies using similar methods and outcomes and help to develop specialized and targeted solutions for addressing changes in travel trends and demand after the pandemic. For more information, see the full article titled "Using factor analyses to understand the post-pandemic travel behavior in domestic tourism through a questionnaire survey."
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The COVID-19 pandemic has exerted unprecedented impacts on travel behaviors because of people's increased health precautions and the presence of various COVID-19 containment measures. However, little research has explored whether and how people changed their travel with respect to their perceived local infection risks across space and time. In this article, we relate elasticity and resilience thinking to the changes in metro travel and perceived infection risks at the station or community level over time. Using empirical data from Hong Kong, we measure a metro station's elasticity as the ratio of changes in its average trip length to the COVID-19 cases' footprints around that station. We regard those footprints as a proxy for people's perceived infection risks when making trips to that station. To explore influencing factors on travel in the ups and downs of perceived infection risks, we classify stations based on their elasticity values and examine the association between stations' elasticities and characteristics of stations and their served communities. The findings show that stations varied in elasticity values across space and different surges of the local pandemic. The elasticity of stations can be predicted by socio-demographics and physical attributes of station areas. Stations serving a larger percentage of population with higher education degrees and certain occupations observed more pronounced trip length decrease for the same level of perceived infection risks. The number of parking spaces and retail facilities significantly explained variations in stations' elasticity. The results provide references on crisis management and resilience improvement amid and post COVID-19.
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Amid the COVID-19 pandemic, face-to-face contacts decreased but still existed despite people's fear of virus infection and governments' social gathering restrictions. These interactions influenced virus transmission routes, if any and reflected people's essential social interactive demands in the city. In this article, we identified people who intentionally travel as groups (ITGs) to characterize social interactions before and amid COVID-19. To systematically understand ITGs' mobility patterns, an ITG structure was defined and measured in multiple dimensions, including composition, function, size, intensity, quality, and spatiotemporal distribution. Based on a longitudinal smartcard dataset in Hong Kong spanning the year of 2020, we operationalized the ITG structure in the local metro system and examined whether and to what degree the structure changed during the pandemic. We found that ITGs' activities fluctuated as the pandemic progressed and their changes differed across different ITG groups. The long-distance ITGs saw the most significant change. The spatial distribution of persistent ITG trips before and amid the pandemic became spatiotemporally more concentrated. Stations with similar ITG indices clustered in proximity, and features of station areas like residents' education level and quantity of commercial facilities could well predict stations' ITG indices. In other words, inequal distribution of essential facilities and opportunities could notably influence ITGs, social contacts, and socioeconomic benefits brought about by them amid COVID-19. The findings provide insights concerning both resilience management amid the crisis and the long-term planning of essential facilities and services that facilitate group-based outgoings and activities.
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This study developed a conceptual framework for a preventive travel decision-making process amidst the COVID-19 pandemic, combining the Health Belief Model (HBM) and Value-Belief-Norm (VBN). Analyzing 409 responses collected from an online survey, this study verified the integrated model as a salient theory addressing the importance of social components and health belief factors in affecting behavior. The model revealed that altruistic value influences the HBM variables, whereas personal norms mediate preventive behaviors and beliefs in both VBN and HBM. These findings offer new theoretical insights into decision-making process and provide practitioners with effective crisis management strategies concerning pro-social and health beliefs.
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Abrupt socioeconomic changes have become increasingly commonplace. In face of these, both institutions and individuals must adapt. Against the backdrop of the COVID-19 pandemic, suddenness, scale, and impacts of which are unprecedented as compared to its counterparts in history, we first propose transferable measures and methods that can be used to quantify and geovisualize COVID-19 and subsequent events' impacts on metro riders' travel behaviors. Then we operationalize and implement those measures and methods with empirical data from Hong Kong, a metropolis heavily reliant on transit/metro services. We map out where those impacts were the largest and explores its correlates. We exploit the best publicly available data to assemble probable explanatory variables and to examine quantitatively whether those variables are correlated to the impacts and if so, to what degree. We find that both macro- and meso-level external/internal events following the COVID-19 outbreak significantly influenced of metro riders' behaviors. The numbers of public rental housing residents, public and medical facilities, students' school locations, residents' occupation, and household income significantly predict the impacts. Also, the impacts differ across social groups and locales with different built-environment attributes. This means that to effectively manage those impacts, locale- and group-sensitive interventions are warranted.
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In the context of population ageing in many developed and developing countries, encouraging active transport behaviors of older adults, is a key public health priority. However, many cross-sectional studies assessing the impact of built environment characteristics on travel behavior fail to address residential self-selection bias, and hence the causal relationship is uncertain. A large-scale public housing scheme provided this study with a unique research opportunity to distinguish residential self-selection from the effects of built environment characteristics on the travel behaviors of older adults (Nâ¯=â¯13,468 and 3,961 in two analyses respectively) in Hong Kong, because public housing residents have little freedom to choose their residential locations. The results showed that the elderly living in public housing estates generally have fewer trips, shorter overall travel times and distances, and fewer motorized trips including those by rail or private car than those living in private housing estates. In addition, the results for walking, walking times, numbers of trips, and travel distance for elderly people in public and private housing all exhibited markedly different associations with built environment characteristics. Strength of built environment-travel behavior associations dropped by approximately 30-50% after controlling for the effect of residential self-selection. The results indicate that both built environment characteristics and residential self-selection affect travel behaviors.
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Entorno Construido/clasificación , Características de la Residencia/estadística & datos numéricos , Viaje/psicología , Anciano , Anciano de 80 o más Años , Entorno Construido/estadística & datos numéricos , Estudios Transversales , Femenino , Hong Kong , Humanos , Masculino , Vivienda Popular/normas , Vivienda Popular/tendencias , Viaje/estadística & datos numéricosRESUMEN
INTRODUCTION: The U.S. population is shifting to become both older and more racially and ethnically diverse. Our current understanding of U.S. drivers' travel-related needs and concerns by race/ethnicity is limited. METHODS: Data from the 2010 HealthStyles survey, an annual, cross-sectional, national mail-panel survey of persons ages 18 years or older living in the United States, were used to calculate weighted percentages of travel-related behaviors, opinions, and concerns by race/ethnicity. Logistic regression was used to explore associations between race/ethnicity and specific travel-related concerns, while adjusting for other demographic characteristics. RESULTS: Adequate transportation alternatives to driving were reported by a greater percentage of persons in certain minority groups compared to whites (Hispanic: 34.7%; white: 23.4%). Concern for the availability of alternatives to driving in the future was greater among minority groups (black: 57.7%; Hispanic: 47.3%; other: 50.9%) compared to whites (37.5%). Additionally, among persons with a household income of $25,000+, minorities were generally more likely than whites to report concern about having alternative transportation options to driving, whereas concern was consistently high among all racial/ethnic groups for those earning less than $25,000 annually. In each racial/ethnic group, more than 10% of persons reported not knowing how they would get around if they could no longer drive. CONCLUSIONS: Important variations by race/ethnicity in both travel behaviors and concerns for adequate alternatives to driving were found, revealing the need for further research to better understand reasons for these differences and to identify ways to meet the transportation needs of the changing U.S. population demographics. IMPACT ON INDUSTRY: Further research on adequate alternatives to driving and transportation needs is needed.