Evidence map›Paper›PMID 36661582›Full record

ArticleBehavioral sciences (Basel, Switzerland)2022

Research on the Influence Mechanism of Intention to Proximity Travel under the COVID-19.

Huan Chen, Luyao Wang, Shaogui Xu, Rob Law, Mu Zhang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Huan ChenShenzhen Tourism College, Jinan University, Shenzhen 518053, China.
Luyao WangShenzhen Tourism College, Jinan University, Shenzhen 518053, China.
Shaogui XuSchool of Management, Jinan University, Guangzhou 510632, China.
Rob LawAsia Pacific Academy of Economics and Management, Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Macau 999078, China.ORCID 0000-0001-7199-3757
Mu ZhangShenzhen Tourism College, Jinan University, Shenzhen 518053, China.ORCID 0000-0003-4682-8156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of COVID-19 has brought increasing attention to proximity travel. This mode of travel is a convenient travel setup for both tourists and neighboring destinations. With the help of the model of goal-directed behavior (MGB), this study investigates the influence of tourists' perception of epidemic risk on their intentions for proximity travel during the normalization of epidemic prevention and control. This study takes Shenzhen, China as the research area, and carried out the investigation in the context of normalization of the epidemic in China. A total of 489 pieces of valid sample data were collected through questionnaire surveys. Statistical analysis software, such as SPSS26.0 and AMOS23.0, were used to analyze the collected data information quantitatively, including descriptive statistical analysis, reliability and validity test, CFA and SEM. The results showed that attitude, subjective norms, positive anticipated emotions, and perceptual behavior control have significant positive effects on travel desire. Travel desire has a significant positive impact on travel intention, whereas negative anticipated emotions have no significant effect on travel desire. Meanwhile, the epidemic risk perception has a significant positive effect on attitudinal travel desire and travel intention. Under the background of the COVID-19, the stronger that the epidemic risk is perceived by tourists, the more the desire and intention to proximity travel are enhanced.

Indexed as

COVID-19MGBproximity traveltourists’ risk perceptiontravel intention

Identifiers

PMID36661582
PMCPMC9854579

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.