With the global population aging, urban public transportation systems, particularly subway stations, face significant challenges. This paper outlines the basic concepts of age-friendly design for subway stations, analyzes the behavioral characteristics of elderly passengers, and examines their specific needs regarding barrier-free facilities, information signage systems, and station environments. The paper then reviews recent research advancements, including adaptations of facilities for elderly use, integration of smart technologies, and the development of assessment frameworks tailored to age-friendly criteria. Finally, it identifies key challenges in age-friendly renovations, such as insufficient user research, inadequate data analysis, incomplete evaluation systems, a single-scheme verification mechanism and uneven overall development. The paper also outlines future directions in enhancing intelligent systems and evaluation frameworks to better accommodate the needs of elderly passengers and improve their overall travel experience.

Quickly identifying discontinuity of the rock in a tunnel face and interpreting its geometric and mechanical parameters are considered as important basis for realizing remote tunnel diagnosis. However, 3D point cloud recognition based on digital photos often relies on commercial programs. Based on the open source framework of AliceVision, this paper developed a microservice module for point cloud information recognition of discontinuity of rocks in a tunnel face. Encapsulated with the Django framework, the module can be flexibly deployed in a platform that supports the microservice architecture. With photos of the rock mass on the tunnel face taken from different perspectives and uploaded remotely by users, the microservice helps automatically identify 3D point cloud and achieve 3D reconstruction. Currently, the microservice module has been deployed infrastructure Smart Service System（iS3）developed by Tongji University. The results compared with those obtained from other software show that the microservice module can meet the basic need for 3D construction with advantage in the computational speed although effort is still needed to further improve the accuracy.