Evidence map›Paper›PMID 42096415›Full record

ArticlePloS one2026

Rigid versus flexible: The effect of destination revitalization policy on tourists' travel behavioral intention.

Wen Qin, Weilong Li, Yanli Peng, Juan Su

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wen QinBusiness School of Central South University, Changsha, Hunan, China.
Weilong LiSchool of Tourism and Urban Rural Planning, Jishou University, Zhangjiajie, China.
Yanli PengSchool of Tourism and Urban Rural Planning, Jishou University, Zhangjiajie, China.
Juan SuSchool of Tourism and Urban Rural Planning, Jishou University, Zhangjiajie, China.ORCID https://orcid.org/0009-0000-1285-8950

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Destination revitalization policies have been considered functional or institutional ones that would stimulate the tourism markets. This paper redefines the concept of destination revitalization policies as social cues and how they influence the social judgments and intention to travel by tourists. Based on the stereotype content model and temporal construal theory, we differentiate between two kinds of revitalization policies: flexible and rigid, and form a theoretical model to describe the differentiated psychological mechanisms of these policies and boundary conditions. Evidence from seven studies, including one semi-structured interview study and six scenario-based experiments, shows that flexible revitalization policies generally elicit stronger travel behavioral intention than rigid policies. This is brought about by differentiated social judgments: the flexible policies lead to increased perceptions of warmth, and the rigid policies to increased perceptions of competence. In addition, the effects are conditional to temporal distance. The flexible policies are more effective in case of close-term travel choices and rigid policies in case of long-term planning. By placing the destination revitalization policy in a new perspective as destination communication, the given study contributes to the existing knowledge on destination marketing and tourism policy governing and presents practical outcomes of how the policy should be designed to respond to how tourists make decisions and to ensure the sustainability of the development of a destination.

Indexed as

IntentionTourismTravelAdultFemaleHumansMale

Identifiers

PMID42096415
PMCPMC13152149

What OpenQuestion holds

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LicenceCC BY
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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.