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.

To address issues such as tongue breakage, platform and bottom plate detachment, and conversion failure in welded slide plates for urban rail transit turnouts, as well as the challenges of complex casting processes, slag inclusion, shrinkage, and high scrap rates in integral cast slide plates, this study proposes optimization and improvement measures. These include enhancements in structural design, casting processes, surface friction reduction, and nondestructive testing. The traditional oil maintenance method, which leads to heavy maintenance workloads, track contamination, erosion of fastener backing plates, and reduced durability, is replaced with a new design approach. The reliability and superior performance of the newly developed integral cast slide plate were validated through theoretical analysis and laboratory tests, followed by online trial installation. Results indicate that the new integral cast slide plate significantly reduces maintenance workloads in turnout areas, enhances maintenance convenience, and offers valuable insights for future optimization and defect management of turnout slide plates. Key aspects of the design, production, and testing of slide plates were optimized and improved, focusing on structural design, casting processes, surface friction reduction, and non-destructive testing. The reliability and superior performance of the newly developed integral cast slide plate were validated through theoretical analysis and laboratory testing, followed by online trial installation. Results from the trials demonstrate that the proposed integral cast slide plate significantly reduces maintenance workloads in turnout areas, enhances maintenance efficiency, and offers valuable insights for future optimization and defect management of turnout slide plates.

To address the issue of settlement in existing subway tunnels due to the construction of new adjacent tunnels, an automated machine learning approach and a strategy for weighting multisource data were employed. A predictive model was developed, taking into account tunnel characteristics, stratum properties, and relative positional relationships as input parameters, with the settlement values of the existing tunnels as the output. The model was tested using tens of thousands of simulation data points and realworld data. The findings suggest that while the automated machine learning algorithm can produce a highly accurate predictive model based on simulation data, it may not perform as well with multisource data sets. By assigning weights to multisource data, the model's ability to generalize can be improved, leading to an optimized model that specializes in realworld data, based on simulation data. When the quantity of weighted realworld data is comparable to the simulation data, the model's error rate is reduced. Additionally, according to the feature importance of the bestperforming model, the stratum loss rate emerges as a critical input parameter for prediction, with the significance of geological conditions, spatial relationships, and construction attributes being nearly equivalent.

To address the difficulty in selecting urban rail transit projects in large cities, a model for evaluating the selection of urban rail transit construction projects was constructed based on the analytic network process (ANP). Based on the policy requirements and the demands of relevant stakeholders, five evaluation criteria are proposed: urban coordination, social impact, construction implementation costeffectiveness, postconstruction traffic effects, and network service improvement. These criteria are further refined into nine evaluation indicators. An evaluation model operation platform was constructe, and the evaluation model was verified using a city in Southwest China as a case study. The technical route of the evaluation model conforms to the decisionmaking logic for selecting urban rail transit construction planning projects. The input data of the evaluation model are all data that can be obtained during the construction planning phase. The output results of the evaluation model can intuitively reflect the priority ranking of the candidate projects.

In order to analyze the development and current research status of urban rail transit network performance evaluation, in urban rail transit networks this paper conducts a quantitative analysis of the literature from the CNKI database based on CiteSpace software. This paper gradually focuses on three levels of research: urban rail transit, urban rail transit network, and urban rail transit network performance evaluation, and analyzes the information such as the number of publications, authors, literature sources and keywords. By tracing the important literature, the main indicators of rail transit network performance evaluation are summarized, and the advantages and disadvantages of different evaluation methods are commented. The results show that the research on performance evaluation of urban rail transit networks is undergoing several important transformations. Firstly, the analytical model is developed from unweighted network to weighted network model, which pays more attention to the differences between stations and intervals. Secondly, the research object was extended from the analysis of rail transit network to the comprehensive evaluation of coupled transportation networks such as railroad and railbus. Finally, the research focus of network performance has gradually shifted from the resistance ability under disasters or external shocks to the resilience evaluation including the postdisaster recovery ability.

Current lighting control methods for urban rail transit platforms suffer from simplistic control mechanisms and low accuracy, leading to significant energy waste and failure to provide passengers with a comfortable lighting environment. Based on the characteristics of passenger flow, zonal functional features, and psychological needs of passengers, this paper proposes an energyefficient lighting control method for urban rail transit platforms using passenger density as the primary parameter. The method first establishes a functional relationship between passenger density in different zones and time periods and the required illuminance levels by analyzing the spatial characteristics of platforms and temporal variations in passenger psychology. Subsequently, a linear programming optimization model is developed with the goal of minimizing platform lighting energy consumption, subject to illuminance requirements, using luminaire dimming coefficients as control variables. The model is solved using the simplex method, and case studies are conducted. The results show that in lowpassengerflow stations, compared to conventional control methods, the proposed method reduces platform lighting energy consumption by 27.68%, 38.16%, and 38.87% during morning peak, evening peak, and offpeak periods, respectively, while maintaining illuminance levels within the appropriate range. This method effectively reduces energy consumption and enhances the lighting comfort of urban rail transit platforms.

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.

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.

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.