Increasing MaaS adoption with real-time journey detection and delay refunds

最近的“运输的未来”报告指出，模式和区域筒仓是英国运输系统的一个重大障碍。移动即服务（MaaS）可以帮助打破这些障碍，也可能鼓励远离汽车的“模式转变”。然而，这些平台上的旅程必须以用户为中心，无缝和可访问。Modal提出的想法是一种创新的软件服务，以帮助改进MaaS并提高其用户采用率。我们的主要/潜在客户是Transport for West Midlands（TfWM），他们正在努力实现提供全面的MaaS产品的目标。该服务可以集成到未来的西米德兰兹郡交通（TfWM）MaaS应用程序或其他交通应用程序中，并将包括：实时检测应用程序用户完成的列车行程，无需任何用户交互TfWM区域内一家或多家列车运营公司的自动延迟退款标准化的“开放运输”API，以促进客户帐户的共享（车票及旅程）资料虽然这项计划的范围只限于火车服务，但它会为扩展至其他交通工具，例如巴士，我们捕获的实时行程信息将为MaaS/交通移动的应用程序上的新服务提供支持，使其更加以用户为中心。除了自动延迟退款外，示例还包括个性化中断信息，碳跟踪和忠诚度计划。通过标准化API共享客户信息意味着MaaS运营商可以更轻松地与众多交通运营商和第三方技术提供商（例如Modal）集成。在项目的第一阶段，我们的研发计划是：更好地了解MaaS运营商和交通应用程序的需求和要求确认商业和市场机会开发测试版iOS应用程序和旅程检测模型，以实现对Modal现有服务的可靠性和准确性的“阶跃变化”在第二阶段，我们将开发生产化服务，并与TfWM和/或其他组织进行大规模试验。该试验将形成案例研究的基础，证明我们的技术提高了MaaS的采用。Modal已经在火车通勤者的移动的应用程序All Change上部署了类似的技术。All Change在App Store上的评分为4.8星，在新冠肺炎疫情爆发前，西南铁路的用户达到约1,500人。

Public descriptionThe recent "The Future of Transport" report identified that modal and regional silos are a significant barrier in the UK's transport system. Mobility as a Service (MaaS) can help to break down these barriers and may also encourage a 'modal shift' away from cars. However, journeys on these platforms must be user-centric, seamless and accessible.Modal's proposed idea is an innovative software service to help improve MaaS and increase its user adoption. Our lead/potential customer is Transport for West Midlands (TfWM) who are working towards the goal of delivering a comprehensive MaaS offering. The service could be integrated into a future Transport for West Midlands (TfWM) MaaS app, or other transit apps, and would include:Real-time detection of train journeys completed by app users without any user interactionAutomated delay refunds on one or more train operating companies in the TfWM regionStandardised 'Open Transport' APIs to facilitate the sharing of customer account (ticket and journey) dataWhilst scope of this project is limited to train services, it will lay the groundwork for expansion to other modes of transport such as buses, trams and micro-mobility.Real-time journey information captured by us will underpin new services on MaaS/transit mobile apps, making them more user-centric. In addition to automated delay refunds, examples include personalised disruption information, carbon tracking and loyalty schemes. Analysis of journey data could identify non-seamless interchanges or 'last mile' issues.Sharing customer information via standardised APIs means MaaS operators can integrate more easily with numerous transport operators and third party technology providers (e.g. Modal). This will help MaaS operators to expand and improve, making their service more accessible.In Phase 1 of the project, our R&D plan is to:Better understand the needs and requirements of MaaS operators and transit appsConfirm the commercial and market opportunityDevelop a beta iOS app and journey detection model to deliver a 'step change' to the reliability and accuracy of Modal's existing serviceIn Phase 2, we will develop a productionised service and run a large scale trial with TfWM and/or another organisation. The trial will form the basis of a case study, demonstrating that our technology increases the adoption of MaaS.Modal has already deployed similar technology on a mobile app for train commuters, All Change. All Change is rated 4.8 stars on the App Store, and pre-Covid reached ~1,500 users on South Western Railway.