Researchers usually conduct a questionnaire survey at bus stops to obtain data regarding the satisfaction of bus passengers with waiting times. The results are affected by many factors. Among them, the land use of the bus stops was proved to have an important impact on the survey results. The main contribution of this paper is the introduction of propensity score matching (PSM) into the evaluation of passenger waiting time satisfaction. By eliminating interference factors, this paper can quantify the impact of the various land use types of bus stops. On this basis, a method to modify the survey results of passenger waiting time satisfaction is proposed. This paper takes data pertaining to passenger satisfaction with bus service quality in Guangzhou City in 2018–2019 as an example, and the findings include that: different land use types of sites have different effects (positive or negative) on passenger waiting time scores. Also, matching propensity scores can balance the distribution of covariates between the treatment and control groups, effectively excluding the interference of other factors. After correcting the original rating results, this study found that 61.84% of the routes' waiting time ratings were overestimated. This finding indicates that data correction is necessary to accurately identify passenger waiting time ratings. The waiting time satisfaction of people using residential stations can best reflect the actual level. Therefore, it is suggested that stations with residential land use in each administrative area should be taken as representatives to conduct a waiting satisfaction survey.

研究人员通常会在公交车站进行问卷调查，以获取公交车乘客对等待时间的满意度的数据。结果受多种因素影响。其中，公交站点的土地利用被证明对调查结果有重要影响。本文的主要贡献是将倾向得分匹配（PSM）引入乘客等待时间满意度的评估中。通过剔除干扰因素，本文可以量化公交站不同土地利用类型的影响。在此基础上，提出了旅客候车时间满意度调查结果的修正方法。本文以2018-2019年广州市公交服务质量乘客满意度数据为例，研究结果包括：不同的土地利用类型对乘客等待时间得分有不同的影响（正面或负面）。此外，匹配倾向得分可以平衡治疗组和对照组之间协变量的分布，有效排除其他因素的干扰。本研究在修正原始评分结果后发现，61.84%的路线等待时间评分被高估。这一发现表明数据修正对于准确识别乘客等待时间评级是必要的。使用居民站的人的等待时间满意度最能反映实际水平。因此，建议以各行政区域内有住宅用地的站点为代表进行等候满意度调查。