[Purposes] As urbanization accelerates, issues, such as traffic congestion, environmental pollution, and land scarcity, are becoming increasingly pronounced. A significant factor contributing to urban traffic congestion is the insufficient coordination between traffic supply and land use. Analyzing the coordination between traffic and land use around subway stations is essential for promoting the sustainable development of urban traffic construction. [Methods] The traditional Node-Place (N-P) Model was used and optimized by considering the ratio of node value to place value. A geographic information system (GIS) was adopted, and a variety of evaluation indicators related to station functions and node functions were selected. An evaluation system for the degree of coordination between stations was established by using the entropy weight-technique for order preference by similarity to ideal solution (TOPSIS) method. This approach yielded rankings of stations and assessed the coordination levels between traffic and land use around rail transit stations. [Findings] The coordination analysis conducted on selected stations of Changsha Rail Transit Line 2 reveals notable differences between the optimized model and the traditional model. Most stations exhibit a high degree of coordination. However, variations in coordination levels are identified. For those stations displaying poor coordination, specific optimization strategies are proposed. [Conclusions] The analysis of the coordination between traffic and land use around rail transit stations offers valuable theoretical insights for urban rail transit development, thereby supporting the sustainable development of urban traffic.