随着城市空中交通（UAM）的快速发展，电动垂直起降飞行器（eVTOL）将成为出行者通勤的重要交通方式。传统交通分配模型主要基于二维平面路网，难以刻画eVTOL引入后形成的三维空间路径结构与跨模式换乘行为，导致其在路径选择、阻抗计算与均衡建模方面存在局限性，给传统交通分配模型带来了新的挑战。基于此，本文提出一种考虑停车换乘（PR）的陆空协同网络均衡模型，全面探究了出行者在陆空协同交通网络中的出行模式划分与路径选择问题。鉴于PR与其他出行模式之间存在严重重叠，采用交叉嵌套Logit（CNL）模型来刻画不同出行模式之间的相似性，结合M/M/1/C排队论模型描述垂直起降点排队特性，进而提出各类路段阻抗函数的表达式。在模型求解方面，本文构建了基于改进梯度投影算法（iGP）的迭代框架，联合模式划分与流量分配，最终实现用户均衡。通过在苏福尔斯网络上的数值实验，验证了所构建模型与算法的有效性，实验结果表明，在考虑出行者停车换乘的出行方式选择下，将吸引超过30%的出行者选择利用eVTOL出行，显著影响网络均衡结果与流量分布。研究结论对未来UAM与地面交通的协同发展具有重要参考价值。

With the rapid development of Urban Aerial Mobility (UAM), electric Vertical Take-Off and Landing (eVTOL) vehicles are expected to become an important commuting mode for future travelers. Traditional traffic assignment models, which are primarily based on two-dimensional road networks, face significant limitations in representing the three-dimensional path structure and cross-modal transfer behavior introduced by eVTOL services. These limitations hinder accurate modeling of route choice, impedance estimation, and network equilibrium, thereby posing new challenges to conventional traffic assignment frameworks. To address these issues, this study proposes a land–air collaborative network equilibrium model that incorporates Park and Ride (PR) behavior, aiming to comprehensively analyze travelers’ mode choice and route choice in such a hybrid transportation system. Considering the substantial overlap between PR and other travel modes, a Cross-Nested Logit (CNL) model is adopted to capture the similarity structure among modes. In addition, an M/M/1/C queueing model is used to characterize waiting behavior at vertiports, based on which impedance functions for different types of links are formulated. For solution, an iterative framework based on an improved gradient projection (iGP) algorithm is developed, enabling the joint realization of mode split and flow assignment and ultimately achieving user equilibrium. Numerical experiments conducted on the Sioux Falls network verify the effectiveness of the proposed model and algorithm. Results indicate that when PR-based mode choice is considered, more than 30% of travelers are attracted to adopt eVTOL services, which substantially influences network equilibrium and flow distribution. The findings offer new insights into the coordinated planning of UAM and ground transportation systems.