The dynamics of travel avoidance: The case of Ebola in the U.S.

Cahyanto, Ignatius; Wiblishauser, Michael; Pennington‐Gray, Lori; Schroeder, Ashley

doi:10.1016/j.tmp.2016.09.004

Cited by 302 publications

(314 citation statements)

References 85 publications

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“…Results of an online survey carried out by Jones and Salathe (2009) during the beginning of the swine flu outbreak explained that older age was linked with more avoidance behaviors including the avoidance of large gatherings, and public transport. Cahyanto et al (2016) conducted an online survey to study the factors influencing the avoidance of domestic travels by Americans due to the confirmed Ebola virus cases. They concluded that perceived vulnerability, perceived risk, subjective knowledge, and self-efficacy affect the avoidance of domestic travel significantly.…”

Section: Related Workmentioning

confidence: 99%

“…Fear of infection and perceived risk also significantly influence travel behaviors, particularly for transit use, and the influence varied based on the infected area and demographic characteristics of the people ( Kim et al, 2017 , Cahyanto et al, 2016 ). During pandemics, people perceive a higher risk for all types of trip types and avoid traveling to places where they perceive medium to high risk ( Hotle et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Exploring the impacts of COVID-19 on travel behavior and mode preferences

Abdullah

Dias

Muley

et al. 2020

Transportation Research Interdisciplinary Perspectives

501

424

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Highlights Travel behavior before and during the COVID-19 pandemic was explored. Significant change in primary purpose of traveling was observed due to the pandemic. People tend to use less public transport and more private cars during pandemic. Modal shift to active mode sfrom public transport and paratransit was significant. People placed more priority on pandemic related factors when choosing a mode.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the impacts of COVID-19 on travel behavior and mode preferences

Abdullah

Dias

Muley

et al. 2020

Transportation Research Interdisciplinary Perspectives

501

424

View full text Add to dashboard Cite

show abstract

“…For example, during the COVID-19 outbreak, people who had higher outcome expectations about engaging in avoidant behaviors were more likely to follow the recommended guidelines [ 61 ]. Assessments about self-efficacy also positively impacted intentions to self-isolate during COVID-19, and influenced Americans’ avoidance of domestic travel during the Ebola outbreak [ 62 , 63 ]. During the Influenza A (H1N1) crisis, high levels of assessments about one’s self-efficacy were associated with more statements from participants that they would take avoidance measures [ 64 ].…”

Section: Literature Reviewmentioning

confidence: 99%

The Adoption of Preventive Behaviors during the COVID-19 Pandemic in China and Israel

Liu

Mesch

2020

IJERPH

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The COVID-19 pandemic represents a massive global health crisis. The rapid transmission rate of the virus, as well as the lack of effective medications and vaccines, has posed serious challenges to controlling the spread of the disease. Dealing with this public health crisis has required major changes in people’s behavior, including the adoption of social distancing measures such as avoiding meeting with family members and friends, crowded places, and public transportation. The purpose of this study is to investigate the factors associated with the adoption of these behaviors in China and Israel. We relied on the 3Cs model that has been used to predict the adoption of a specific preventive behavior (vaccinations) with the goal of testing its applicability to other preventive behaviors such as in response to the COVID-19 pandemic. The model indicates that confidence in social institutions, complacency (fear of and assessments about the risk of becoming ill) and constraints (levels of self-efficacy and confidence in being able to engage in the behaviors) are predictors of adopting preventive behaviors. Data were collected in China and Israel through an online survey of the population (n = 1406). We used latent variables and structural equation modeling to test the hypotheses derived from the 3Cs model. The findings indicate that there are some differences in the types of preventive behaviors adopted in the two countries. In Israel, higher levels of confidence predicted the adoption of avoidant behaviors and more constraints predicted engaging in fewer avoidant behaviors. In China, more constraints also contributed to the adoption of fewer avoidant behaviors, but people’s level of confidence fully mediated this result. The multi-group analysis indicated that the conceptualized model fits the Chinese and Israeli data reasonably well. The findings suggest that the 3Cs model can be generalized from getting vaccinated to adopting avoidant behaviors and that the model can be used across cultures and countries.

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“…Additionally, an elevated health-related risk is normally associated with perceptual and behavioral changes (Witte et al 1996). Information seeking can be regarded as one of the behavioral manifestations of one's RPAs, both in a general public health context (Rimal and Real 2003) and in a tourism context (Cahyanto et al 2016). Tourists may engage in information search as a way to protect themselves against risk, as well as to reduce uncertainty (Cahyanto et al 2016).…”

Section: Information Search Behavior In Risk and Crisis Communicationmentioning

confidence: 99%

Cruise Line Customers’ Responses to Risk and Crisis Communication Messages: An Application of the Risk Perception Attitude Framework

Liu-Lastres

Schroeder

Pennington‐Gray

2018

Journal of Travel Research

Self Cite

103

109

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The main purpose of this study was to test cruise line customers' responses to risk and crisis communication messages addressing health-related incidents on cruise ships. This study used norovirus infections as the context and the Risk Perception Attitude framework as the conceptual foundation. An experiment was conducted to test how communication messages affected cruise line customers' information search behavior, safety perceptions, and cruise travel intentions. A total of 240 responses were included and analyzed. The results revealed group differences on the three outcome variables. The results also showed that safety perceptions mediated the relationship between participants' RPAs and cruise travel intentions. Based on the findings, this study provided practical implications on how to develop effective risk and crisis communication messages. This study also highlighted the need for more empirical and theory-driven research in the area of tourism crisis communication.

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The dynamics of travel avoidance: The case of Ebola in the U.S.

Abstract: 2016-11-03T14:11:40

Cited by 302 publications

References 85 publications

Exploring the impacts of COVID-19 on travel behavior and mode preferences

Exploring the impacts of COVID-19 on travel behavior and mode preferences

The Adoption of Preventive Behaviors during the COVID-19 Pandemic in China and Israel

Cruise Line Customers’ Responses to Risk and Crisis Communication Messages: An Application of the Risk Perception Attitude Framework

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