How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources

Plevka, Vaclav; Astegiano, Paola; Himpe, Willem; Tampère, Chris; Vandebroek, Martina

doi:10.3390/su10040912

Cited by 2 publications

(4 citation statements)

References 13 publications

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“…Significantly, for the determination of targeted interventions in terms of travel frequency, more frequent international travelers are more likely to follow recommended biosecurity behaviors than infrequent travelers. These findings show some similarity to prior travel frequency studies [18,19,[24][25][26].…”

Section: Discussionsupporting

confidence: 86%

“…In terms of travel frequency, significant effects have been found of the frequency of travel on mobility-resource ownership decisions [25]. Travel frequency has a strong influence on the spread of infectious diseases (e.g., COVID-19), and there are close relationships between frequency and basic reproduction numbers and global dynamics [19].…”

Section: Hypothesis 6 (H6)mentioning

confidence: 99%

“…During COVID-19, demographic characteristics (e.g., age, gender) played key roles in influencing immunity levels and predicting mortality, while there are substantial gender-based differences for COVID-19-related psychosocial factors and adoption of preventive behaviors [22,23]. The frequency of travel and outdoor recreation participation also has significant effects on predicting traveling behavior [24,25]. Interestingly, international travel frequencies may also help predict biosecurity tourists' values, attitudes, and behaviors during the COVID-19 pandemic [26].…”

Section: Introductionmentioning

confidence: 99%

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Factors Affecting Pandemic Biosecurity Behaviors of International Travelers: Moderating Roles of Gender, Age, and Travel Frequency

2021

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Research undertaken during the COVID-19 pandemic has identified a number of significant factors that affect international travelers’ biosecurity behavior. Tourists’ age and gender as well as travel frequency have been found to have significant impacts on consumers’ non-pharmaceutical intervention practices. However, despite the importance of age, gender, and travel frequency, such studies have overlooked international tourists’ values, attitudes, interventions, and behaviors relevant to biosecurity during a pandemic. In order to bridge this gap, the purposes of this study are to build and test a conceptually comprehensive framework on the relationships between values, attitudes, interventions, and behaviors, along with the moderating effects of age, gender, and travel frequency. To meet the study objectives, a digital survey was administered during 1–5 September 2020, which generated n = 386 total useable responses. Data were analyzed using the partial least squares approach. The results revealed that tourists’ values have the greatest effect on their attitudes toward COVID-19 biosecurity for travel, which in turn positively influences interventions and behaviors. Interventions also have a significant impact on travelers’ COVID-19 biosecurity behavior. This study expands the theoretical understanding of biosecurity and pandemic behavior. The findings of this research also provide significant insights to the literature as well as stakeholders, such as governments, health organizations, international health and tourism agencies, and destinations, with respect to managing international travel biosecurity measures.

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Section: Discussionsupporting

confidence: 86%

Section: Hypothesis 6 (H6)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors Affecting Pandemic Biosecurity Behaviors of International Travelers: Moderating Roles of Gender, Age, and Travel Frequency

2021

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“…In the greater context of modelling car ownership or service subscriptions, the interconnections between short-term and long-term decisions have been studied (e.g. 16,17,18). The uniqueness of on-demand mobility service usage arises from an additional level of decisionwhether to access the service menu.…”

Section: Introductionmentioning

confidence: 99%

Behavioral modeling of on-demand mobility services: general framework and application to sustainable travel incentives

et al. 2019

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This paper presents a systematic way of understanding and modelling traveler behavior in response to on-demand mobility services. We explicitly consider the sequential and yet interconnected decision-making stages specific to on-demand service usage. The framework includes a hybrid choice model for service subscription, and three logit mixture models with interconsumer heterogeneity for the service access, menu product choice and opt-out choice. Different models are connected by feeding logsums. The proposed modelling framework is essential for accounting the impacts of real-time on-demand system's dynamics on traveler behaviors and capturing consumer heterogeneity, thus being greatly relevant for integrations in multi-modal dynamic simulators. The methodology is applied to a case study of an innovative personalized on-demand real-time system which incentivizes travelers to select more sustainable travel options. The data for model estimation is collected through a smartphone-based contextaware stated preference survey. Through model estimation, lower VOTs are observed when the respondents opt to use the reward system. The perception of incentives and schedule delay by different population segments are quantified. The obtained results are fundamental in setting the ground for different behavioral scenarios of such a new on-demand system. The proposed methodology is flexible to be applied to model other on-demand mobility services such as ridehailing services and the emerging MaaS (Mobility as a service).

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How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources

Cited by 2 publications

References 13 publications

Factors Affecting Pandemic Biosecurity Behaviors of International Travelers: Moderating Roles of Gender, Age, and Travel Frequency

Factors Affecting Pandemic Biosecurity Behaviors of International Travelers: Moderating Roles of Gender, Age, and Travel Frequency

Behavioral modeling of on-demand mobility services: general framework and application to sustainable travel incentives

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