Improving Public Transport Planning Using Smart Card and MaaS Subscription Data

使用智能卡和 MaaS 订阅数据改善公共交通规划

• 批准号: EP/V029487/1
• 负责人: Burak Boyaci
• 金额: $ 0.77万
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV029487%2F1
• 关键词: Improving; Public; Transport; Planning; Using

In this proposal, I want to develop optimisation frameworks that will use smart card and mobility-as-a-service subscription data to address strategic (transit route network design problem) and (if time allows) tactical (frequency setting and timetabling) public transport planning problems.The use of public transportation is decreasing all around the UK, except London, every year. Last year, more than 80% of the distances are travelled by private cars in Britain. There may be many reasons for the lack of enthusiasm for public transport, e.g. poor connections, infrequent service or high cost. Making public transport again the main mode of transport is important for many reasons. First, the UK's zero carbon emission by 2050 pledge requires to use more energy-efficient modes. More than 16% of the emissions in the UK are from private cars. Second, cars waste road space, they need almost eight times more space per passenger compared to busses. Excessive private car use is one of the biggest reasons for traffic congestion we experience every day. We need to find ways to move mode choice from private to public transport.One way of altering user behaviour from private to public transport could be frameworking mobility as a service (MaaS) and provide packages that could provide different options to users. MaaS is not a new concept and is in use of different forms all around the world. However, these systems either are just a design concept a platform that provides multiple options and unified payment method for any trip to its users or only allows subscription packages that allow users to access mass public transport modes. In this project, in addition to smart card data, I will be able to work with a subscription-based MaaS data that provides mass and personal public transport (e.g. bikesharing, carsharing, ride-hailing, shared ride-hailing, dial-a-ride) to its users together.Intelligent transportation systems (ITP) applications help us monitor and control public transport system. We also use the collected ITP data to analyse and improve those systems. However, the existing classical models are usually not capable of utilising the mass data produced by the ITP systems every day. We need to develop better methods to deal with high precision data.In this proposal, I aim to develop models that will improve public transport planning by using smart card and MaaS subscription data. In my approach, in addition to mass public transit lines, I want to consider personal public transport options in the development of public transport network design and (if time allows) frequency setting and timetabling problems.With the advancement in mobile technologies and trend towards sharing economy, we see more personal public transport modes in cities. They are encouraged by especially the big cities to provide alternative modes of transportation to their dwellers. We see more people use these transport modes every day. Considering all types of public transportation modes in designing transit route networks could provide better public transport plans for limited resources and eventually increase average welfare for the urban dwellers living in these cities.

在此提案中，我想开发优化框架，这些框架将使用智能卡和移动性，即服务订阅数据来解决战略性（运输路线网络设计问题），并且（如果时间允许）战术（频率设置和时间表和时间表公共运输计划问题）的使用。公共交通的使用在英国各地的伦敦除外，每年都在减少英国。去年，超过80％的距离是由英国私人汽车旅行的。缺乏对公共交通的热情的原因可能有很多，例如连接不佳，服务不佳或高成本。再次建造公共交通，主要的运输方式很重要。首先，到2050年，英国的零碳排放需要使用更节能的模式。英国超过16％的排放来自私人汽车。其次，与公共汽车相比，汽车浪费道路空间需要每位乘客的八倍。过度使用私家车是我们每天遇到的交通拥堵的最大原因之一。我们需要找到将模式选择从私人运输到公共交通的方法。一种将用户行为从公共交通转换为公共交通的一种方式可能是将移动性作为服务（MAAS），并提供可以为用户提供不同选项的软件包。 Maas不是一个新概念，并且正在全世界使用不同形式。但是，这些系统只是一个设计概念，一个平台为任何旅行提供多个选项和统一的付款方式，或者仅允许订阅软件包允许用户访问大规模公共交通模式。在此项目中，除了智能卡数据外，我还可以使用基于订阅的MAAS数据，该数据提供质量和个人公共交通（例如，骑自行车，汽车共享，乘车，乘车，共享乘车，共享乘车，拨号，乘车），以帮助其用户。智能交通系统（ITP）应用程序（ITP）应用程序帮助美国监视和控制公共交通系统。我们还使用收集的ITP数据来分析和改进这些系统。但是，现有的经典模型通常无法每天使用ITP系统产生的质量数据。我们需要开发更好的方法来处理高精度数据。在此提案中，我旨在开发通过使用智能卡和MAAS订阅数据来改善公共交通计划的模型。在我的方法中，除了大规模的公共交通线外，我还想考虑公共交通网络设计开发的个人公共交通选择，并且（如果时间允许）频率设置和时间表问题。随着移动技术的发展和共享经济的趋势，我们看到了城市中更多的个人公共交通模式。特别是大城市尤其鼓励他们为居民提供替代的运输方式。我们看到，每天都有更多的人使用这些运输模式。考虑到所有类型的公共交通模式在设计运输路线网络中，可以为有限的资源提供更好的公共交通计划，并最终增加居住在这些城市的城市居民的平均福利。