Abstract
The curation design of cultural heritage sites, such as museums, influence the level of visitor satisfaction and the possibility of revisitation; therefore, an efficient exhibit layout is critical. The difficulty of determining the behavior of visitors and the layout of galleries means that exhibition layout is a knowledge-intensive, time-consuming process. The progressive development of machine learning provides a low-cost and highly flexible workflow in the management of museums, compared to traditional curation design. For example, the facility’s optimal layout, floor, and furniture arrangement can be obtained through the repeated adjustment of artificial intelligence algorithms within a relatively short time. In particular, an optimal planning method is indispensable for the immense and heavy trains in the railway museum. In this study, we created an innovative strategy to integrate the domain knowledge of exhibit displaying, spatial planning, and machine learning to establish a customized recommendation scheme. Guided by an interactive experience model and the morphology of point–line–plane–stereo, we obtained three aspects (visitors, objects, and space), 12 dimensions (orientation, visiting time, visual distance, centrality, main path, district, capacity, etc.), 30 physical principles, 24 suggestions, and five main procedures to implement layout patterns and templates to create an exhibit layout guide for the National Railway Museum of Taiwan, which is currently being transferred from the railway workshop for the sake of preserving the rail culture heritage. Our results are suitable and extendible to different museums by adjusting the criteria used to establish a new recommendation scheme.
Highlights
Accepted: 4 March 2021The number of international tourists increased by 4% in 2019, by a total of 1.5 billion.The share of leisure travel grew from 50% in 2008 to 56%, and the international tourism expenditure was up to USD 1.4 billion in 2018 [1]
We propose five main procedures to form the structure of layout patterns for exhibit layout planning (ELP) in the railway museum
According to the trains’ properties, the visual distance we propose is 22.36~41.22 m (= 2 × (102 + 32 + 42 )1/2 ~2 × (202 + 32 + 42 )1/2 ); this visual distance is far beyond the width of general buildings, and as such, it is inappropriate for the railway museum
Summary
Accepted: 4 March 2021The number of international tourists increased by 4% in 2019, by a total of 1.5 billion.The share of leisure travel grew from 50% in 2008 to 56%, and the international tourism expenditure was up to USD 1.4 billion in 2018 [1]. The number of international tourists increased by 4% in 2019, by a total of 1.5 billion. With the increase in leisure time and the level of education and income, many people like to travel to cultural tourism destinations to acquire different cultural experiences. The museum is usually regarded as culturally significant and one of the world’s most important destinations [2,3,4,5]. Tourists like to visit museums to engage in and learn about the local culture and heritage [6]. Visiting the museum is a delightful leisure activity [8,9]; there has been a significant increase in the number of people interested in attending museums
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