Although some aging-friendly facilities have been built in Chinese subway stations in accordance with relevant specifications, existing stations have problems such as facility aging, unclear information signs, imperfect service functions, and loopholes in emergency management. Through field investigations and literature analysis, the aging-friendly features of Japanese subway stations are deeply analyzed. Japanese subway stations fully consider the physical functions and travel needs of the elderly in aspects such as in-station passage facilities, information exchange facilities, service facilities, and emergency support measures. Their designs are elaborate and human-centered. By learning from the experience of Japan, China should improve the planning and design standards for aging-friendly facilities, introduce intelligent technologies, optimize information display and services, strengthen personnel training and deployment, and build a comprehensive emergency management system. This can enhance the aging-friendly level of subways, ensure the travel safety and comfort of the elderly, and promote the high-quality development of social public transportation services.

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.