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.

在这个建议中，我想开发优化框架，将使用智能卡和移动性作为一种服务订阅数据，以解决战略（公交路线网络设计问题）和（如果时间允许）战术（频率设置和调度）公共交通规划problems.The使用公共交通正在减少英国各地，除了伦敦，每年。去年，英国80%以上的路程是由私人汽车行驶的。对公共交通缺乏热情的原因可能有很多，例如连接不好，服务不频繁或成本高。使公共交通再次成为主要的交通方式是重要的，原因有很多。首先，英国到2050年实现零碳排放的承诺要求使用更节能的模式。在英国，超过16%的排放来自私人汽车。第二，汽车浪费道路空间，他们需要几乎八倍以上的空间，每个乘客相比，公共汽车。过度使用私家车是我们每天经历的交通拥堵的最大原因之一。我们需要找到方法将模式选择从私人交通转移到公共交通。将用户行为从私人交通转移到公共交通的一种方法可以是构建移动即服务（MaaS），并提供可以为用户提供不同选择的套餐。MaaS并不是一个新概念，在世界各地都有不同的形式。然而，这些系统要么只是一个设计概念，一个为用户的任何旅行提供多种选择和统一支付方法的平台，要么只允许用户使用大众公共交通工具的订阅套餐。在这个项目中，除了智能卡数据之外，我还将能够使用基于订阅的MaaS数据，该数据为用户提供大众和个人公共交通（例如自行车共享，汽车共享，乘车，共享乘车，拨号乘车）。智能交通系统（ITP）应用程序帮助我们监控公共交通系统。我们还使用收集的ITP数据来分析和改进这些系统。然而，现有的经典模型通常无法利用ITP系统每天产生的大量数据。我们需要开发更好的方法来处理高精度数据。在本提案中，我的目标是开发模型，通过使用智能卡和MaaS订阅数据来改善公共交通规划。在我的方法中，除了大众公共交通线路，我想在公共交通网络设计的发展中考虑个人公共交通的选择，以及（如果时间允许的话）频率设置和调度问题。随着移动的技术的进步和共享经济的趋势，我们在城市中看到更多的个人公共交通模式。特别是大城市鼓励他们为居民提供替代交通方式。我们每天都看到越来越多的人使用这些交通工具。在设计公交线路网络时考虑所有类型的公共交通模式，可以在有限的资源下提供更好的公共交通规划，并最终提高居住在这些城市的城市居民的平均福利。