Afraid to travel after COVID-19? Self-protection,coping and resilience against pandemic ‘travel fear’

COVID-19 has generated an unprecedented level of public fear, likely impeding tourism industry recovery after the pandemic is over. This study explores what trigger the public's pandemic ‘travel fear’ and how people impose self-protection, coping and resilience related to travel. The study integrates theories including protection motivation theory, coping and resilience theories to address the research aim. Using a quota sampling, an online survey of 1208 respondents across mainland China was conducted. Results found that threat severity and susceptibility can cause ‘travel fear’, which leads to protection motivation and protective travel behaviors after the pandemic outbreak. Findings also revealed that ‘travel fear’ can evoke different coping strategies, which increases people's psychological resilience and adoption of cautious travel behaviors. Several strategies are provided on how to mitigate people's ‘travel fear’ and encourage travel in a post-COVID-19 world.     

Reaching audiences through travel vlogs: The perspective of involvement

Travel vlogs are popular, but how audiences get involved while watching remains unclear. This study explored audience involvement along with expressions of travel intention. A systematic sampling procedure was developed, filtering 132 ‘highly involving sessions’ from 25 videos in Bilibili, a Chinese video-sharing platform. Qualitative analyses were applied, and the findings were threefold. Firstly, a five-category video content typology was highlighted, including frame aesthetics, video editing, fandom, humour, and tourist experiences. Secondly, bullet comments were deconstructed into six dimensions through examining concepts of ‘audience involvement’. Lastly, to address possible patterns of travel intention linked to the video content types, three propositions were made. This work serves as an exploration of audience involvement in the travel vlog phenomenon, an elaboration of travel intention expression in this context, and a method of assessing tourist-generated videos through bullet comments. Practical implications were discussed.     

Revealing travel patterns and city structure with taxi trip data

Delineating travel patterns and city structure has long been a core research topic in transport geography. Different from the physical structure, the city structure beneath the complex travel-flow system shows the inherent connection patterns within the city. On the basis of taxi-trip data from Shanghai, we built spatially embedded networks to model intra-city spatial interactions and to introduce network science methods into the analysis. The community detection method is applied to reveal sub-regional structures, and several network measures are used to examine the properties of sub-regions. Considering the differences between long- and short-distance trips, we reveal a two-level hierarchical polycentric city structure in Shanghai. Further explorations of sub-network structures demonstrate that urban sub-regions have broader internal spatial interactions, while suburban centers are more influential on local traffic. By incorporating the land use of centers from a travel-pattern perspective, we investigate sub-region formation and the interaction patterns of center–local places. This study provides insights into using emerging data sources to reveal travel patterns and city structures, which could potentially aid in developing and applying urban transportation policies. The sub-regional structures revealed in this study are more easily interpreted for transportation-related issues than for other structures, such as administrative divisions.     

Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis

The aim of this paper is to contribute to the increasing literature on travel behavior and time use of the elderly. The Dutch National Travel Survey, administered in 2009, was used as a data source. First, various facets of activity-travel patterns of the elderly were compared against overall sample averages. Results indicate that the new generation of elderly people do not differ that much from other age groups in terms of their activity-travel behavior. Differences in behavior can be largely understood in terms of constraints acting on agendas. Moreover, travel patterns of elderly are affected by socio-demographic variables. Second, to further qualify the average findings, the Chi-square automatic interaction detection (CHAID) method was applied to explore heterogeneity among the elderly in terms of travel time expenditure. It is analyzed how differences in travel time co-vary with socio-demographics, in addition to activity type, activity duration and travel aspects. The results suggest that the aging population can be systematically broken down into several homogeneous cohort segments. Travel time of elderly groups depends significantly on transport modes, travel motivation, and seven socio-demographic variables (gender, age, living environment, personal net-income, household size and season). Moreover, there is less heterogeneity in travel time of elderly who are older than 75 years old. However, for younger elderly people, especially the group aged from 65 to 74 years old, heterogeneity affects their travel.     

Travel and tourism competitiveness index: The impact of air transportation,railways transportation,travel and transport services on international inbound and outbound tourism

The objective of the study is to examine the impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism in a panel of 19 tourists - oriented countries, over a period of 1990–2014. By applying principal component analysis, the study constructs travel and tourism competitiveness index for inbound and outbound tourism. The main constructs of inbound tourism index include international tourists' arrival, tourism receipts, receipts of passengers' transports items and travel items while the constructs of the outbound index include international tourists' departure, tourism expenditures, and expenditures for passengers transport and travel items. The result of panel Fully Modified OLS (FMOLS) regression shows that the presence of air transportation, railways transportation, and trade openness positively affect inbound tourism index, while travel and transport services negatively affect tourism competitiveness index. The causality results confirm the bidirectional relationship between inbound tourism, air transportation, railways passengers carried, trade openness and travel and transport services, while there is a unidirectional causality running from inbound index to railway goods transported, from air transport freight to trade factor, and from travel services to air transport freight. Outbound tourism index confirmed the bidirectional causality relationship with air transportation, railways transportation, and travel and transport services, while the causality running from outbound index to trade factor, from air transport passenger carried to travel services, and from railway goods transported to trade and transport services, which support the unidirectional causality relationship between them. The variance decomposition results show that air transportation freight is the contributor that largely influences inbound-outbound tourism, while railways passengers carried and trade openness has the least share to influence inbound and outbound tourism index for the next 10-year period. The impulse response function indicates that air transportation, railways transportation, trade openness and travel services will positively impact on inbound truism while travel and transport services will positively affect outbound tourism for the next 10-year period. The study concludes with the importance of transportation sector that deem desirable to promote tourism worldwide. The concentration of different modes of transportation including air transportation, railways transportation, and travel and transport system would helpful to advance international tourism.     

Employment centers and travel behavior: exploring the work commute of Mumbai’s rapidly motorizing middle class

In the Greater Mumbai Region (GMR), jobs and housing are agglomerating in nodes in the periphery of Mumbai City. However, current transportation investments focus on strengthening connections within Mumbai City, while these outlying nodes have received less attention. As housing and jobs move out, given limited travel choices, the need for mobility nudges many middle class Indian households into owning private vehicles. Using household travel survey data from the GMR, this paper develops an understanding of how worker’s trips are different for those who commute to the city versus the exurbs. Socio-economic and transportation indicators for middle class workers going to the city versus the exurbs show that these populations are quite similar demographically. However, those traveling to the exurbs, on average, tend to be at a socio-economic disadvantage with respect to income, education and out-of-pocket travel burdens. Those traveling to exurban work locations have shorter travel times and trip distances, and make much higher use of walking, biking, rickshaws, and motorized two-wheelers compared to commuters to Mumbai City. Across the GMR, car users travel longer and farther compared to motorized two-wheeler users. On average, traveling by a private vehicle is faster than bus or rickshaw travel revealing advantages of private vehicle use. These mode choices in the middle class have resulted in rapid motorization and negative externalities such as traffic congestion and emissions. Evidence of large increases in motorized two-wheelers and cars in India suggests that these modes will likely keep growing, unless competing efficient travel options are supplied.     

Refugees in Vermont: mobility and acculturation in a new immigrant destination

This paper explores the idea of mobility for recent refugees who have resettled in a non-traditional immigrant destination in the northeastern U.S. It is based on a multi-year qualitative study of travel behavior, preferences, and needs amongst these new arrivals in a small city in the state of Vermont. As a result of their experiences of both forced displacement from their home as well as stasis within camp settings and the refugee determination process, refugees are an example of what some have called “a dialectic of movement/moorings” (Urry, 2003: 125), both on the move and trapped in place. Their resettlement in the U.S., as this paper illustrates, may represent a further extension of this dialectic—placed by government agents in new immigrant reception areas not of their own choosing, forced to commute long distances and into unfamiliar environments for work and limited in their abilities to access healthcare, education and employment (amongst other services) due to a range of transportation barriers. I argue in this paper that refugee mobilities in a new settlement site are about more than inconvenience: barriers to movement may constitute obstacles to acculturation, integration, self-empowerment, and community building.     

Analysis of travel behavior in Arab communities in Israel: a comparison of household surveys

This paper analyzes the main characteristics of travel behavior by the Arab minority community in Israel and discusses two issues related to household travel surveys: data collection among minorities and under-reporting of mid-day trips.Household travel surveys are generally designed and conducted for the majority population and, therefore, lack a proper accounting of minorities and miss many of their less-frequent trips. An alternative approach to conducting household surveys is presented, with the aim of improving data quality for transportation planning. The survey was designed for and conducted in three Arab towns in Israel. The main improvement of the survey involves better interaction between interviewer and interviewee, which should materialize into a relaxed environment that allows for obtaining detailed, reliable results within a reasonable amount of time.The results of the survey employing the alternative approach were compared to a sub-sample of the same towns taken from a regional survey conducted by the regional planning agency at the same time. The paper presents simple statistics on the main variables for each survey. Significant differences are found in the two data sets, mostly regarding the frequency of less frequent, non-home-based trips. A plausible explanation for these differences relates to the more detailed and improved data collected in the new survey.     

Mobile phone network data reveal nationwide economic value of coastal tourism under climate change

The technology-driven application of big data is expected to assist policymaking towards sustainable development; however, the relevant literature has not addressed human welfare under climate change, which limits the understanding of climate change impacts on human societies. We present the first application of unique mobile phone network data to evaluate the current nation-wide human welfare of coastal tourism at Japanese beaches and project the value change using the four climate change scenarios. The results show that the projected national economic value loss rates are more significant than the projected national physical beach loss rates. Our findings demonstrate regional differences in recreational values: most southern beaches with larger current values would disappear, while the current small values of the northern beaches would remain. These changes imply that the ranks of the beaches, based on economic values, would enable policymakers to discuss management priorities under climate change.     

Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet

Sustaining business success hinges upon a firm׳s ability to understand and capitalize on consumer behavior trends. Synthesizing information from a variety of sources, this paper discusses the nature of use of the Internet by American travelers. In general, the adoption of the Internet has reached a level of saturation and some traditional channels such as online travel agencies (OTAs) continue to dominate travel planning. While traditional means of Internet use for travel planning appears to be widespread across all customer segments, higher-order Internet uses (i.e., social media) are now prevalent among some segments, particularly among travelers of Generation Y. Also, there seems to be an important bifurcation in the traveler population in that the traditional online consumers remain unchanged with their pattern of use of online tools while sizable groups are adopting emergent information sources and transaction channels. This article details the particulars of these trends and offers managerial implications and future research directions.