VISITOR’S INTENTIONS TO RE-VISIT RECONSTRUCTED PUBLIC PLACE IN JAKARTA TOURISM HERITAGE RIVERFRONT

Q3 Social Sciences
W. Pratiwi, Bramanti Kusuma Nagari, R. Margono, Sri Suryani
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引用次数: 5

Abstract

This research elucidates the influence of the several elements of the heritage public place on the visitors’ intention to revisit and recommend. The study was derived along the reconstructed riverside tourism area of heritage Kali Besar Corridor, Kota Tua, Jakarta, Indonesia. Without sufficient efforts in maintenance, the heritage area will more likely deteriorate. Many stakeholders were trying to solve those problems by preserving the heritage buildings and reactivating public spaces. Responding to the phenomenon, the research aims to understand the current visitors’ satisfaction on several attributes that available based on the specificity of the heritage public space; including physical elements, accessibility, experiences, pull factors, and socio-demographic background; in enhancing satisfaction and intention to revisit the place. The research uses primary observation, questionnaire, and desk study for data collection and qualitative data analysis. Ordinal regression analysis (OLR) is employed to identify the most applicable factors in influencing visitors to revisit and recommend the public place. As a result, the visual, ambiance, and spaciousness of the place are regarded as the main important attraction in the heritage outdoor area, especially for the young adult visitors in the internet era. Moreover, tangible pull factors also play the important role in attracting visitors.
游客重新参观雅加达旅游遗产滨河重建公共场所的意向
本研究阐明了遗产公共场所的几个要素对游客重游和推荐意愿的影响。该研究是在印度尼西亚雅加达哥打都的Kali Besar走廊重建的司机侧旅游区进行的。如果没有足够的维护力度,遗产地区将更有可能恶化。许多利益相关者试图通过保护遗产建筑和激活公共空间来解决这些问题。针对这一现象,本研究旨在了解当前游客对遗产公共空间的几个属性的满意度;包括物理因素、可达性、体验、拉动因素和社会人口背景;在提高满意度和意图再次访问的地方。本研究采用初步观察法、问卷调查法和案头研究法进行数据收集和定性数据分析。运用序数回归分析(OLR)找出影响游客再访和推荐公共场所的最适用因素。因此,这个地方的视觉、氛围和空间被认为是遗产户外区域的主要重要吸引力,特别是对于互联网时代的年轻成年游客。此外,有形的拉动因素在吸引游客方面也起着重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Alam Cipta
Alam Cipta Social Sciences-Urban Studies
CiteScore
0.50
自引率
0.00%
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0
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