Abstract

Mobility as a Service (MaaS) is an innovative concept, enabled by the ubiquitous availability of digital technologies. Many cities around the world envision MaaS as a way to improve sustainable transportation by reducing the use of fossil fuel-based transportation modes. However, MaaS may also trigger users of environmentally-friendly transportation modes to switch to less sustainable modes, such as taxi and ridesharing. The aim of this study is to explore how different bundling and pricing schemes of MaaS contribute to improving sustainable transportation. In order to analyze individuals’ intended choice of MaaS, a stated portfolio choice experiment was developed. A mixed logit model is estimated to investigate the bundle of transportation modes individuals configure when subscribing to MaaS. We explore empirical issues such as which transportation modes they prefer to include in the bundle, and how pricing schemes affect the composition of the bundle. Furthermore, scenario analyses are conducted to assess the impact of pricing schemes on sustainable transportation. Results show that MaaS contributes to improving sustainable transportation in a non-linear manner as a function of decreasing monthly subscription fees and/or increasing length of the subscription.

抽象的

移动即服务（MaaS）是一个创新的概念，数字技术无处不在。世界上许多城市都将MaaS设想为一种通过减少使用基于化石燃料的运输方式来改善可持续交通运输的方式。但是，MaaS可能还会触发环境友好型交通方式的用户转换为可持续性较差的方式，例如出租车和乘车共享。这项研究的目的是探讨MaaS的不同捆绑和定价方案如何有助于改善可持续交通运输。为了分析个人对MaaS的预期选择，开发了一个既定的投资组合选择实验。估计使用混合logit模型来研究个人在订购MaaS时配置的交通方式组合。我们探索一些经验问题，例如他们更喜欢将哪种运输方式包括在捆绑服务中，以及定价方案如何影响捆绑服务的组成。此外，进行了情景分析，以评估定价方案对可持续交通的影响。结果表明，MaaS以非线性方式有助于改善可持续交通运输，这是减少每月订阅费用和/或增加订阅期限的函数。