Introduction: The vertical dimensional arrangement of space is primarily influenced by the reachable range of human fingertips. Currently, this dimensional layout analysis concentrates solely on static body dimensions based on Farley’s principle. However, the joint mobility of the elderly population has diminished, necessitating the identification of the factors influencing the age-friendly spatial vertical dimension layout through experimentation. Methods: A random sample of 62 adults and 62 elderly individuals were selected to measure the joint mobility of 8 groups with varying comfort levels. The measurement results were analyzed using an independent sample t-test with SPSS software. Results: The joint mobility of the elderly group exhibited a notable difference from that of the adult group across distinct comfort gradients. A significant reduction in the range of motion of all joints in the elderly was observed. The findings suggest that the reachable range of the upper limbs of the elderly should be considered in conjunction with joint mobility. We propose a vertical dimensional layout method for residential spaces that accommodates the joint mobility of elderly users. Conclusion: The joint mobility of the elderly is significantly deteriorating, and the traditional vertical spatial layout method cannot adequately support the daily life of the elderly. It is essential to integrate the joint mobility factor into the vertical dimensional layout design process. In this paper, we propose an elderly-friendly vertical spatial dimension layout method. It offers a reference for subsequent planning of elderly-friendly vertical dimension layout.

Computer intelligent data mining, as an emerging data analysis technology, combines statistical analysis, artificial intelligence, database and other technologies, which greatly improves the computer's data mining, computing and analysis capabilities. In the face of a large amount of existing data, it is easier to deduce and analyze various possible results with a wide range of application areas. This paper will be applied to the field of architectural space design analysis, where architectural space is composed of complex spatial systems through different sequences. This study uses computer-related software to perform intelligent data mining on the living space system, quantitatively analyze individual spatial systems in terms of spatial wholeness, connectivity, depth of field, etc., to help designers gain an in-depth understanding of spatial systems and then make spatial decisions to maximize the design requirements.