With the growing trend towards preserving global architectural heritage, the adaptive reuse of built heritage buildings is becoming increasingly popular; as commentators have noted, this popularity can in part be attributed to the economic, cultural, and social benefits they provide to urban communities. In considering adaptive reuse, urban developers and planners seek to reach an equilibrium in the battle between time and space. Both academically and practically, the adaptive reuse of heritage buildings requires compatible, appropriate, and scientific means for assessing built heritage assets; however, currently, research in this area is still relatively meagre. To address this gap, this paper investigates research frameworks, methodologies, and assessment methods that concern the adaptive reuse of architectural heritage. In this paper, we examine the current literature on the paradigms for applying mixed methodologies: the multi-criteria decision model (MCDM) and the preference measurement model (PMM). Specifically, in examining the extant literature, we explore the ways in which these methods are discussed, compared, and evaluated, and the positive functions of these methods are also highlighted. In addition, this review examines a range of cases to better clarify the research frameworks, methodologies, and assessment methods used in the study of the adaptive reuse of architectural heritage.

Space syntax starts from the ontology of space to quantify the space and uses mathematical logic to reveal and describe the logic of the space structure. However, the application of space syntax analysis to museums in China has rarely been explored. In light of this, this study employs space syntax to analyse the Gulangyu Organ Museum (Xiamen, China) and uses the topological depth, visual graph analysis, and agent simulation to describe the structure of the museum space. Accordingly, several suggestions are proposed, including rearranging the layout of the museum's functions and transforming the museum from functional space to experience space. This study can serve as a valuable reference for the application of space syntax in the design and optimization of space design and functional layout. We believe that the findings of this study can also be applied to other cultural institutions (e.g., galleries) with similar characteristics.

Due to the COVID-19 pandemic, the tourism industry and its stakeholders have tried to develop a new virtual tourism market, but its effectiveness remains to be tested. We proposed and tested a new measurement scale composed of ease of use, usefulness, autonomy, enjoyment, perceived risk of COVID-19, and attitude. In total, 274 questionnaires were collected by the purposive sampling method and 239 of them were valid, with 57 potential virtual tourists (who knew of but had not used VR in tourism) and 182 actual virtual tourists (who had experienced virtual tourism). Then, we used path analysis to test the hypothetical model and compared the results of two groups. The results show that (1) the popularity of virtual tourism is limited, (2) ease of use significantly affects usefulness and enjoyment for the two groups, (3) usefulness significantly affects autonomy and enjoyment for the two groups, (4) perceived risk of COVID-19 has a direct impact on the attitude towards virtual tourism for the two groups rather than a moderating role, and (5) expected ease of use has a significant effect on autonomy, and autonomy further influences enjoyment for potential tourists. This paper is an explorative attempt to explore virtual technology applied in tourism during the COVID-19 pandemic. The results provide theoretical contributions and practical implications for technology improvement, tourism marketing, and virtual tourism development.

The features of a street environment play an essential role in human behavior, but predicting the preferred environment becomes challenging for city planning. This paper takes Gulangyu Island as an example and examines tourists’ visual preferences through street view images and a stated preference survey. Based on the findings, planning responses were proposed to provide references for improving tourists’ visual perception of the street’s environment. The results show that tourists’ preferences for the street environment are significantly affected by visual features. From highest to lowest are variety, the green view index, crowdedness, sky openness, and enclosure. The green view index, sky openness, and variety positively affect the visual utility, while crowdedness and enclosure have a negative effect. Among them, variety has the most potent positive effect on visual preference, while crowdedness has the most substantial negative effect. Moreover, there is a balance between green view and enclosure that is affected by green plants, and when the enclosure value is too high, the marginal effect of the green view index will be less effective. Last, the streets with high visual utility have an ideal natural environment, spacious roads, an open sky, and limited architecture.