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Advances in Tourism Studies
Article . 2025 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
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Determinants of Visit Decisions in Cultural Tourism

A Quantitative Approach
Authors: Disa Islamey; Fauziah Eddyono;

Determinants of Visit Decisions in Cultural Tourism

Abstract

Understanding the factors that influence visitor decisions is crucial for enhancing the competitiveness of cultural heritage tourism. This study examines the effects of attraction attributes, amenities, accessibility, and motivation on visitors’ decisions to visit heritage destinations. Employing a quantitative approach, data were collected through a structured questionnaire from 163 respondents using simple random sampling. Multiple linear regression analysis was conducted using SPSS to test the relationships among the variables, complemented by perception mapping to identify priority areas for improvement. The results reveal that attraction attributes, amenities, and accessibility have significant positive effects on visit decisions, while motivation does not show a statistically significant impact. Additionally, the perception map indicates that several key indicators require management attention, particularly in enhancing accessibility and certain service facilities. The findings suggest that destination managers should focus on improving infrastructure and maintaining core attractions to sustain visitor interest. This study contributes to the understanding of visitor behavior in heritage tourism and offers practical implications for destination development and strategic planning.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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