Walking, as a major mode of travel or activity among older adults, deserves more attention in research on travel behavior related to the neighborhood built environment. However, most previous research has examined global relationships or assumed that all spatial scales are identical rather than focusing on the intensity of spatial scale differences between explanatory variables and travel behavior. Therefore, this paper employs a multi-scale, geographically weighted regression model to analyze the effect of the neighborhood built environment on the walking activities of 863 older adults in Taiyuan, China, using survey data. The results indicate that the influence intensity of the explanatory variables is determined, in descending order, by the number of retail establishments, the number of pedestrian crossings, the number of restaurants, the residential density, the land use combination, the number of recreation facilities, and the location and the number of bus stops. Moreover, the spatial scales of the number of recreation and public service facilities are greater than those of the other explanatory variables. This research can contribute to a better understanding of the relationships between the built environment of a neighborhood and walking activities and provide case support for the sustainable development of age-friendly transportation services.

In this study, we created a practical traffic assignment model for a multimodal transport system considering low-mobility groups with the aim of providing the foundation of transportation network design for low-mobility individuals. First, the route choice equilibrium for walking, non-vehicle, and private car modes is described using the logit function, which is formulated as a variational inequality problem considering different low-mobility groups. Then, the practicalities related to travel times at intersections, traffic barricades between different lanes, and fuel fees of private cars are integrated to design a generalized travel cost function. Last, the method of successive weight averages is used to solve the proposed model. The model and its solution are verified based on a real case study of the city of Wenling in China. The sensitivity of adjustment parameters related to travel costs are analyzed, the practicality of the proposed model is explored, and the results of traffic assignment for different low-mobility groups are discussed.

By taking the 32.645-kilometer-long Guanjiao tunnel of Qinghai-Tibet railway as the object of research, the technology of disaster prevention and rescue in the high-altitude super-long railway tunnel was studied. Combined methods of fire model test and numerical simulation, combustion characteristics in the high-altitude super-long railway tunnel were discussed, and the Available Safety Evacuation Time (ASET) was obtained. From the viewpoint of people’s safety evacuation, software called STEPS was used to establish the personnel evacuation model aimed to simulate the process of the personnel evacuation and analyze the evacuation time under different fire scenes at the emergency station. Setting schemes of the emergency station and the cross-passage of Guanjiao super-long railway tunnel were determined preliminarily, and it also provided a basis for optimizing the design of safety evacuation facilities of the super-long railway tunnel.