Survey Data on COVID-19 Travel Behavior and Satisfaction in Hakone, Japan

Atsushi Kawakubo's study on figshare investigates how transport choices and infection-prevention practices influenced service evaluations and trip satisfaction among Japanese domestic tourists during the COVID-19 pandemic. The dataset is based on an online survey yielding 500 responses from visitors to Hakone, with an analytic sample of 341 respondents. The research was last updated in April 2026 and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between risk perception and traveler behavior based on survey constructs.
• Analyzing the impact of disinfection behavior on perceived service attitudes and overall satisfaction.
• Investigating structural relationships in tourism satisfaction using factor analysis and structural equation modeling techniques.

Strengths

• Includes 500 survey responses with a final analytic sample of 341 respondents.
• Focuses on a specific geographic and temporal context: domestic tourists in Hakone, Japan during the pandemic.
• Results are derived from exploratory factor analysis and structural equation modeling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• The study design is cross-sectional and based on self-reported data, which may introduce bias.

Provenance

Source

Atsushi Kawakubo via figshare.

Collection Method

Data gathered via an online survey of Japanese domestic tourists visiting Hakone.

Time Range

During the COVID-19 pandemic (specific dates not provided).

Freshness

Last updated 2026-04-13 05:48:56; freshness should be verified.

Geography

Hakone, Japan.