This study investigates the challenges of "recruiting and retaining talent" in China's urban rail transit industry. Based on a sample of Beijing Jiaotong University graduates employed by metro companies between 2018 and 2024, a comprehensive survey was conducted across five dimensions: graduate demographics, employment locations, jobseeking processes, factors valued by graduates, and jobposition fit. A multidimensional analytical framework was developed using 539 valid questionnaire responses and a Logit model to identify key factors affecting recruitment outcomes. The findings reveal that recruitment effectiveness is influenced by multiple factors, including geographical preference matching, alignment between organizational development and career aspirations, knowledgeskill compatibility with positions, and job identification. Based on these findings, seven optimization strategies are proposed: optimizing job position and educational qualification matching, addressing the underlying impact of jobseeking processes on satisfaction, strengthening geographical alignment between positions and job seekers' preferences, providing career guidance for diverse career expectations, ensuring precise matching between job skill requirements and graduates' competencies, developing a diverse talent ecosystem, and enhancing career planning education. These strategies provide empirical evidence for talent policy formulation and recruitment efficiency improvement in the urban rail transit industry.

This study analyzes commuting patterns in urban rail transit and investigates the characteristics and regularities of different commuter types. The analysis is based on Changsha Metro AFC data, covering two consecutive weeks of working days from March 21 to April 3, 2023. A Gaussian Mixture Model (GMM) is constructed using three variables: morning boarding time, evening boarding time, and the average commuting duration. This model classifies passengers into three categories: the classic commuting pattern, the offpeak commuting pattern, and the longdistance commuting pattern. The results show that classic commuters primarily commute during regular peak hours (7:30–8:30 and 17:30–18:30), while longdistance commuters tend to start slightly earlier, and offpeak commuters avoid peak periods, with their morning boarding times spanning from 7:00 to 12:00 and evening boarding times concentrated between 20:00 and 22:00. In terms of commuting duration, classic and offpeak commuters typically travel for 15 to 30 minutes, whereas longdistance commuters predominantly travel for over 30 minutes. Additionally, the residential and workplace station distributions highlight that longdistance commuters are more likely to reside in peripheral urban areas, and the workplace stations of offpeak commuters are more concentrated than those of the other two groups, predominantly located in areas bustling with dining and entertainment activities.

A specific adjustment plan for the control and protection areas in karst region was proposed in response to the problem that the degree of expansion of the control and protection areas for urban rail transit in karst geology was unclear. Starting from the mechanism of karst adverse geology affecting the safety of existing structures, through the study of guiding industry standards and the mechanism of karst ground collapse, three important indicators of the scope of control and protection areas for urban rail transit in karst region were determined: the scope of influence of external operations, the scope of influence of karst ground collapse and the scope of susceptibility to influence of existing urban rail transit structures. Based on geometric analysis, the maximum scope where the existing urban rail structure suffered a safety risk caused by karst ground collapsekarst, which is induced by external operations, is determined. This maximum scope is adopted as the scope of the control and protection areas in the karst region. Finally, the control and protected areas scope calculation models of metro station and interval tunnels in two typical karst geological conditions are proposed. Calculations were carried out on Shenzhen Rail Transit Line 16 as an example, and the results can provide a reference for the operation and management of urban rail transit projects in Shenzhen and other karst regions.

The positive externalities of urban rail transit necessitate a comprehensive economic costbenefit analysis when evaluating project economic feasibility. In response to the latest requirements for preparing the outline and explanation of the project feasibility report, this study conducted a multidimensional study on the economic costbenefit of urban rail transit. Firstly, identify economic costs and benefits from three dimensions: government, enterprises, and the public, establish a threelevel quantitative+qualitative indicator system, expand quantitative indicators from 5 to 13, and add 14 qualitative indicators; Secondly, conduct research on key indicator analysis methods, propose quantitative methods for driving GDP, fiscal revenue, and increasing employment, break through the current difficulties in evaluating the macroeconomic contribution of urban rail transit, and improve the calculation methods for time saving benefits, fatigue reduction benefits, and traffic accident reduction benefits; Finally, it is clarified that there are 9 indicators that can be included and 4 indicators that cannot be included in the economic costbenefit analysis flow table, and a comprehensive evaluation of the project's economic costbenefit is conducted through case studies to provide support for earlystage decisionmaking and promote sustainable development of the industry.

The success of rail transit hubs with three or more intersecting lines heavily depends on their planning and design quality, as these hubs face challenges of high passenger volumes and complex traffic organization. This paper discusses the planning and design practices of the Gangxia North Transit Hub in Shenzhen as a case study. It elaborates on the planning methods and technical system for creating integrated urban transit hubs in the core areas of major cities, touching on aspects such as the functional positioning analysis of the hub, passenger flow demand forecasting, overall planning layout, comprehensive development of the hub, underground space planning, and improvements to the surrounding road traffic. The planning and construction of multiline rail transit interchange hubs play a significant role in promoting the integration of stations and cities, invigorating urban development vitality in the area, guiding the transformation of urban transportation development models, and fostering the sustainable development of urban rail transit.

This paper addresses the issues of inefficient recovery of regenerative braking energy, limited substation power supply capacity, and insufficient response to emergency traction in urban rail transit when using single energy storage systems. The research focuses on the application scheme and technical advantages of a supercapacitorlithium titanate battery hybrid energy storage system. First, by comparing supercapacitors, lithium titanate batteries, and flywheels in terms of key parameters such as power density, energy density, and cost, energy storage media are classified into two categories: powertype and energytype. Then, simulation results demonstrate that the hybrid energy storage system composed of supercapacitors and lithium titanate batteries outperforms single energy storage solutions in terms of recovering regenerative braking energy, enhancing substation power supply capacity, and providing emergency traction capabilities for trains. Based on this analysis, the study highlights the application potential of the supercapacitorlithium titanate battery hybrid energy storage system in urban rail transit, particularly its notable advantages in regenerative energy utilization technologies.

In response to the problem of setting rail cant under the dynamic changes of subway wheel profile, this paper measured the wear profile data of LM wheels at four operating mileage, established a subway vehicle system dynamics model, and analyzed the influence of rail cant on the vehicle's straightline stability and curve passing performance considering during the dynamic changes of wheel profile. The entropy weight method is used to comprehensively evaluate the dynamic performance of the vehicle, and the optimal rail cant setting scheme is obtained for straight lines and curves with different radii considering under the dynamic changes of the wheel profile. Research has shown that when a vehicle is running in a straight line, the coupling of rail cant and wheel wear profile has a more significant impact on lateral stability than vertical stability. The dynamic changes in the wheel profile exacerbate the impact of rail cant on vehicle stability. During the curve operation, when rail cant is constant, the vehicle's curve negotiation performance first deteriorates, then improves, and then deteriorates as the wheel wear profile dynamically changes; When the wheel wear profile is constant, as the curve radius increases, the influence of the rail cant on the vehicle's curve negotiation performance gradually increases. Taking into account the dynamic changes in the wheel profile, the optimal matching of the outer/inner rail cant for straight, R300 m, R400 m, R500 m, and R600 m curve is (1/30, 1/40),(1/20, 1/20), (1/20, 1/40), (1/40, 1/40), and (1/40, 1/40), respectively.

Unreasonable grounding system can cause problems such as increased train axle potential and circular current, as well as bearing erosion, deteriorating the electromagnetic environment of onboard electronic equipment, and thus pose a threat to the safety of train operation. Therefore, it is necessary to design the train grounding system appropriately. First, uniform chain circuit model is used to model the traction power supply system and dual current train grounding system. Secondly, through traction and power supply calculations, the train current can be obtained. Taking train current as the excitation source, the distribution of train axle voltage and circular current can be obtained. Take the currents of grounding resistors as a measure of the vehicle circular current distribution. Finally, PSO algorithm is used to optimize the train grounding system. After the optimization, the maximum circular current decreases by about 20%, and the maximum vehicle axle voltage declines slightly. The optimization of the train grounding system in this article presents a guide for the design of the grounding system for dualsystem trains, as well as provides a reference for other trains.

To improve the visualization of switch machine status monitoring and the intelligence of fault diagnosis by urban rail transit operators, a 3D visualization monitoring and fault diagnosis method of switch machine based on digital twin is proposed, which provides a powerful technical support for the realtime monitoring of switch machine status, highquality transmission of operation data, and the precise alarm of equipment faults. Compared with the existing intelligent operation and maintenance system of Switch Machines, this study uses digital twin technology to establish a highfidelity model, maps the fieldworking Switch Machines in the information space through realtime interaction of data, and realizes threedimensional visual monitoring of Switch Machines indoors through WebGL and model lightening technology; in view of the small number of samples of fault data for switch machines in the field, it establishes a combined model of CNNTransformer to achieve fault diagnosis. To achieve the fault diagnosis of switch machines, the fault diagnosis accuracy rate is 98.67% under the condition of imbalance between normal data and fault data; In order to verify the feasibility of the proposed framework and the improved algorithmic approach, a 3D visualization monitoring and fault diagnosis platform for switch machines based on digital twins is designed.

This study investigates the unsteady aerodynamic characteristics of urban trains passing through most criticallength tunnels through numerical simulations. The threedimensional unsteady Reynoldsaveraged NavierStokes (RANS) equations coupled with the Renormalization Group (RNG) kɛ turbulence model were employed to analyze the aerodynamic behavior of an urban train operating at 160 km/h. The results reveal that train operation significantly modifies the flow field structure and pressure distribution within the tunnel, characterized by distinct regional patterns. These modifications are primarily attributed to two factors: the propagation and reflection of traininduced pressure waves, and the compression effect of the train body on the tunnel air. Significant differences are observed between pressure variations on the train surface and tunnel wall monitoring points. While the train surface pressure is predominantly influenced by the arrival timing of compression and expansion waves, the tunnel wall pressure exhibits more complex evolution patterns due to the combined effects of train disturbances, pressure waves, and lowpressure regions. The aerodynamic drag is mainly pressureinduced and significantly affected by both blockage effects and pressure waves. Furthermore, distinct unsteady aerodynamic responses are observed among different car bodies: the first three cars are primarily affected by entrance and exit disturbances, while the rear five cars experience additional pressure wave effects, resulting in substantial fluctuations in lateral force, rolling moment, and yawing moment.