当前位置: X-MOL 学术Transp. Res. Rec. J. Transp. Res. Board › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
How Much of Which Mode?: Using Revealed Preference Data to Design Mobility As a Service Plans
Transportation Research Record: Journal of the Transportation Research Board ( IF 1.7 ) Pub Date : 2020-06-17 , DOI: 10.1177/0361198120923667
Daniel J. Reck 1 , Kay W. Axhausen 1
Affiliation  

Mobility as a service (MaaS) seeks to integrate emerging shared mobility modes with existing public transportation (PT). Decisive to its uptake will be attractive subscription plans that cater for heterogeneous mobility needs. Research on willingness to pay for such plans has commenced, yet remains divided on a central question: how much to include of which mode, and how? Complementing previous research building on stated preference data, in this study revealed preference data is used to analyze the viability of different subscription plan components (PT, car-sharing, bike-sharing, taxi), modes of inclusion (budgets in minutes and season tickets) and subscription cycles (weekly, monthly). PT season tickets are found to be viable for 83% of all respondents. Interestingly, the viability of minute budgets of car- and bike-sharing depends on subscription cycle length. Using a monthly subscription cycle, car-/bike-sharing appears viable to include in a bundle for 35%/31% of all respondents, respectively. Using a weekly subscription cycle, these figures drop to 1.4%/0.4%, respectively, as weekly variation in demand is much higher than monthly variation. In contrast to many current MaaS pilots, taxi use remains too infrequent to include as recurring credit in MaaS plans. Rather, pay-as-you-go is the economically more sensible option for consumers. This research therefore challenges the idea of all-inclusive mobility flat rates and suggests a more modular design.



中文翻译:

哪种模式有多少?:使用公开的偏好数据将移动性设计为服务计划

移动即服务(MaaS)试图将新兴的共享移动模式与现有的公共交通(PT)集成在一起。决定其接纳程度的是吸引人的订阅计划,以满足不同类型的出行需求。关于支付此类计划的意愿的研究已经开始,但仍存在一个中心问题:对哪种模式应包含多少费用以及如何进行支付?作为对先前提到的偏好数据的基础研究的补充,本研究显示偏好数据可用于分析不同订阅计划组件(PT,汽车共享,自行车共享,出租车),包容方式(分钟预算和季票)的可行性)和订阅周期(每周,每月)。发现PT季票对83%的受访者可行。有趣的是 汽车和自行车共享的微小预算的可行性取决于订阅周期的长短。使用每月订阅周期,汽车/自行车共享似乎可以分别包含在所有受访者的35%/ 31%中。使用每周订阅周期,由于需求的每周变化远高于每月变化,因此这些数字分别降至1.4%/ 0.4%。与许多当前的MaaS飞行员相比,出租车使用仍然很少,无法在MaaS计划中计入经常性积分。相反,按需付费是消费者在经济上更明智的选择。因此,这项研究对全包式移动统一费率的概念提出了挑战,并提出了一种更具模块化的设计。使用每周订阅周期,这些数字分别降至1.4%/ 0.4%,因为需求的每周变化远高于每月变化。与许多当前的MaaS飞行员相比,出租车使用仍然很少,无法在MaaS计划中计入经常性积分。相反,按需付费是消费者在经济上更明智的选择。因此,这项研究对全包式移动统一费率的概念提出了挑战,并提出了更具模块化的设计。使用每周订阅周期,由于需求的每周变化远高于每月变化,这些数字分别降至1.4%/ 0.4%。与目前的许多MaaS飞行员相反,出租车使用仍然很少,无法在MaaS计划中计入经常性积分。相反,按使用量付费对消费者而言在经济上更为明智。因此,这项研究对全包式移动统一费率的概念提出了挑战,并提出了更具模块化的设计。

更新日期:2020-06-19
down
wechat
bug