Abstract: To study the impact of land use types surrounding subway stations on passenger satisfaction, this research takes Guangzhou Metro Line 4 as a case. With the land use types around the stations as the independent variable and passenger satisfaction as the dependent variable, while considering the age, gender, education level, and occupation of respondents as covariates, the study employs Propensity Score Matching(PSM) for analysis. A main factor effect model for passenger satisfaction based on a counterfactual framework is established to calculate and match propensity scores, followed by a balance test to ensure the robustness of the findings. The results indicate that after matching, the standard deviations of all covariates are less than 10%, suggesting that the PSM method effectively eliminates the influence of these covariates. It provides a good representation of the impact of land use types on subway passenger satisfaction. Specifically, except for industrial land, which has a negative effect on passenger satisfaction, all other land use types exhibit positive effects. Among them, agricultural land has the largest average treatment effect on satisfaction. To enhance subway passenger satisfaction, measures such as improving the land use functions around stations, strengthening the connection between stations and surrounding lands, and targetedly optimizing environmental facilities can be adopted.

Key words: traffic engineering, rail transit, propensity score matching, land use type, passenger satisfaction