Abstract: Based on the characteristics of urban mobilization and the background of bus priority practice in China, this paper proposes a theoretical framework of transit service level, traffic demand management and public transit attraction using the RP data of residents who have options and SP data of private car users in Changzhou, and using the binary logit model and the cumulative logit mode. The results show that transit service level and traffic demand management have a positive effect on public transit attraction for citizens who have options. There is a significant complementary effect between transit service level and traffic demand management. Moreover, public transit has a different attraction to car travelers and E-bike travelers under the same conditions. This paper indicates that for cities with a high motorization level, traffic governance should not only develop public transit, but also implement appropriate traffic demand management. It is necessary to build a co-governance of public transit incentive and private vehicle penalty.

Key words: public transit attraction, transit service level, traffic demand management, complementary effect

摘要： 基于我国城市机动化发展特点和优先发展公共交通的背景，利用常州市有选择权居民的RP数据和私家车使用者的SP数据，运用二元logit模型和累积logit模型，构建了公交服务水平、交通需求管理与公交吸引力的理论框架。研究发现了公交服务水平与交通需求管理对有选择权居民公交吸引力的积极影响；公交服务水平与交通需求管理间存在显著的互补效应；在相同境况下，公共交通对小汽车出行者和电动自行车出行者表现出不同的吸引力。研究结果表明：对机动化水平较高的城市，交通治理不应只发展公共交通，还需实行适当的交通需求管理，形成公交激励与私家车管制相互补充、共同治理的局面。

关键词: 公交吸引力, 公交服务水平, 交通需求管理, 互补效应