An effective transport system can increase access and raise land values; thus, governments should be able to capture part of this price premium for transit access. These revenues could be used to fund further investments in public transit or other projects. Reliable measures of the price premium for transit access can help guide governments in setting policies to capture value. Guangzhou, China, has an extensive metro rail system and the highest-capacity bus rapid transit line in China. This study examines the effects of these two public transport systems on the prices of apartments in the city by using a unique set of data collected from a mainstream Chinese real estate website. Ordinary least squares, spatial regression models, and quantile hedonic regression were used to estimate the price premium for transit access. The findings suggest that proximity to the metro and the bus rapid transit line has a substantial and statistically significant effect on apartment prices that varies by district and the amenities provided.

In recent decades, rapid urbanization has been linked to negative impacts on people’s mental health. However, the healing potential of urban parks as central features of cityscapes has not been fully explored from the perspective of audio-visual integration. This gap limits designers’ ability to leverage parks’ healing systems to their full potential. To address this gap, this study used the Mindwave monitoring and recovery component scale to evaluate the healing function of urban parks in Chengdu, specifically focusing on audio-visual integration. Based on audio-visual scene combination samples collected through shooting and recording, we found that: (1) The visual and audio qualities of birdsong (the sky above the blue space and the green space) can significantly differ. (2) Birdsong and conversation seem to provide healing effects from seemingly contradictory dimensions of “quiet” and “social”, with gender differences as the primary influencing factor. (3) Visible children laughing at low levels (30% and 50%) has a more negative impact than invisible traffic noise at the same sound pressure level. (4) Audio-visual interaction does not always have a positive effect, with the visibility of the sound source as the primary influencing factor. (5) An increase in audio proportion did not necessarily correspond to a linear increase in the healing effect. Through exploring the influence of audio-visual combination scenes on healing effects in urban parks, this study provides an empirical basis for park design and planning that considers audio-visual healing effects. It offers insights into designing healing systems for parks and urban areas as well.

How to expand an owner’s market demand for BIM and fundamentally mobilize an owner’s application enthusiasm is of great significance to the high-quality development and effective promotion of BIM. Taking the Theory of Planned Behavior (TPB) as the basic framework and integrating the Technology Acceptance Model (TAM), we build a theoretical model of an owner’s adoption behavior mechanism for BIM technology. The theoretical model is tested by the partial least squares structural equation model (PLS-SEM). The research results show that the perceived usefulness of BIM technology by an owner is the most significant factor that affects the owner’s behavioral intention to apply BIM technology. The influence of attitude on behavioral intention is very weak and not significant. Subjective norms can significantly and positively affect an owner’s adoption intention. The perceived ease of use has a positive impact on the adoption intention of BIM technology, but its role is very limited. The adoption intention of an owner can positively affect adoption behavior and has a direct driving effect. The research results can improve the relevant research on BIM, encourage an owner to actively participate in the development process of BIM, and further promote the comprehensive promotion and application of BIM.

The long-term rental apartment market in China is steadily growing to be a trillion-dollar sector, but excessive market growth can lead to several issues. Due to the high demand for long-term rentals, many investors will enter the market. Nevertheless, without direction and supervision, it is simple to overdevelop the supply of long-term rentals, which would have negative effects on the real estate market. Long-term rental apartments involve a variety of companies, and it is vital that we drive their beneficial growth. To provide other operators with a comparison to find flaws, enhance improvements, and prevent irrationally increasing the stock, this paper uses the Pythagorean fuzzy decision-making method to identify the most well-liked long-term rental apartment operators and the most significant rental needs of tenants in the market environment. The results of the study show that real estate developers’ flats are the most popular among the four major operators, and that C4: Providing emotional value, C7: Ability to resist risk and C8: Ability to prevent social incidents are aspects that tenants value more than others. The results of the study provide real estate operators with directions for optimization, provide other operators with criteria for improvement, prevent blind increases in rental stock and provide operators with a healthy competitive environment, which is of great significance to the healthy development of long-term rental apartments in China.

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