发表刊物：Transport Policy

关键字：TRAVEL MODE CHOICE; PREDICTION; WEATHER; TREES

摘要：With the rapid emergence of e-payment methods, such as WeChat and Alipay, in China, more passengers choose mobile payment instead of traditional methods such as ticket counters at the station or travel cards when taking public rail transit systems. However, the mechanisms and key drivers of passengers' payment choices when purchasing tickets with new e-payment ticketing channels are significantly underdeveloped. In this paper, a combination of field and online surveys on the city metro system and its passengers was conducted in Xi'an, China, to collect socioeconomic characteristics, residence locations, travel frequency, mobile phone usage information, and payment choices. The Random Forest (RF) model and SHapley Additive exPlanations (SHAP) were used to explore the relationship between payment choices and those passenger-related attributes. The results reveal that travel card ownership, occupation, residence location, travel purpose, education level, and gender are important and influential factors that can effectively affect passengers' preferences regarding how they would like to pay. Subsequent discussions and implications concerning e-payment ticketing channels in rail transit systems were also put forward. This study offers new insights and evidence for a better understanding of the underlying mechanism of passengers' ticketing choice behaviors in this increasingly digitalized era.

合写作者：石兰馨,汤俊卿,杨辰宇,赵婷,王玉婷,王炜

第一作者：李晓伟

论文类型：期刊论文

是否译文：否

发表时间：2023-01-01

收录刊物：SSCI