These characteristics make them an optimal choice for alleviating urban traffic congestion and position them as a pivotal direction for future urban rail transit development [1; 2; 3]. Maglev technology has been successfully implemented in Germany, China, Japan, and South Korea [4; 5; 6; 7]. However, medium-low-speed maglev transit systems operate using electromagnetic suspension (EMS) technology, which introduces an additional active levitation control subsystem. Compared with conventional wheel-rail systems, EMS-based systems exhibit greater structural complexity, and the vehicle-bridge interaction phenomena become more challenging to analyze. Numerous researchers have conducted extensive investigations into this subject [8]. In developing vehicle-bridge coupled dynamic models, [PERSON] et al. [9] formulated a vertical coupling vibration simulation algorithm for low-speed maglev systems based on a 12-degrees-of-freedom secondary suspension mass-spring-damper mechanical model. [PERSON] et al. [10] derived the transfer functions for the sinking and floating and pitch motions of two distinct suspension module configurations and established coupled vibration equations between the suspension modules and the bridge. They analyzed the dynamic performances of two types of maglev trains and bridge structures. Their analysis concluded that the suspension configuration significantly affects module response, while its influence on carbody and bridge girder dynamics remains negligible. [PERSON] et al. [11] developed a coupled dynamic modeling framework for medium-low-speed maglev systems by integrating vehicle dynamics with flexible bridge models through rigid-flexible coupling interfaces. The model was validated through numerical-experimental correlation, demonstrating that optimal suspension control parameters can effectively mitigate train-bridge coupled vibrations. [PERSON] et al. [8] proposed an innovative modeling methodology for maglev track-bridge (TCRB) systems using vector mechanics (VM) principles, overcoming the limitations of conventional finite element methods (FEMs) in modeling non-contact suspension systems. Based on [PERSON]'s principle, [PERSON] et al. [12] established a periodic time-varying vibration model for vehicle-bridge interactions, investigating coupling resonance mechanisms during maglev operation and extending the analysis to multi-span bridge stability. Regarding parameter sensitivity analysis and dynamic performance control, [PERSON] investigated bridge centrifugal effects on high-speed maglev train-bridge system dynamics [13]. [PERSON] et al. [14] developed an efficient computational algorithm for maglev system analysis, evaluating bridge and controller influences on system dynamics. [PERSON] et al. [15] conducted systematic studies on speed effects, air spring aerodynamics, and guideway irregularities for high-temperature superconducting (HTS) maglev systems. [PERSON] et al. [16] examined stochastic resonance phenomena in high-speed maglev systems under bounded noise excitation, while another study by [PERSON]'s team quantified velocity and bridge structural effects on coupled system response [17]. [PERSON] et al. [18] analyzed the dynamic performance of medium-low-speed maglev vehicles on lead-rubber-bearing isolated bridges. While extensive research, including significant work on maglev train-bridge interactions, has been conducted on vehicle-bridge coupling dynamics and the influence of various control strategies and external factors [19; 20; 21; 22; 23; 24], existing research predominantly focuses on vehicle-bridge coupling methodologies or external component influences, while system stiffness characteristics remain understudied [25; 26; 27; 28; 29; 30; 31; 32; 33]. This study tackles a critical challenge in medium-low-speed maglev bridge design: the lack of systematic understanding of how pier top lateral stiffness influences the dynamic interaction between maglev trains and bridges.