Decarbonisation and shared mobility: The spatio-temporal analysis of Enterprise Holdings UK data

英国交通部门是英国经济中最大的二氧化碳排放部门，汽车旅行是这些排放的重要组成部分。交通运输没有显示出通往脱碳的明确道路。目前，有很多家庭和个人偶尔需要或想要获得汽车，但不是所有时间。有证据表明，汽车共享（包括汽车俱乐部和汽车租赁）有助于减少对汽车的依赖和交通脱碳。因为它使用现有的技术，它可以帮助开始快速脱碳的汽车使用，这是需要在这个十年。共享提供了一套具有成本效益、社会进步和可实施的减排选择。在这个与政策高度相关和及时的博士生项目中，有相当大的空间应用和开发来自数据科学领域的尖端分析技术，以及做出方法贡献和进行应用空间分析以告知政策和实践的潜力。该奖学金与企业控股公司合作，后者参与汽车俱乐部和传统汽车租赁业务。他们还参与探索交通模式之间的协同作用，例如通过“移动枢纽”和移动即服务（MaaS）。

The UK transport sector is the largest CO2 emitting sector of the UK economy and car travel is a significant component of those emissions. Transport shows no clear path towards decarbonisation. At present there are a great many households and individuals who need or want access to a car on occasion but not all the time. There is evidence that car sharing (including car clubs and car rental), can contribute to decreased car dependence and transport decarbonisation. Because it uses existing technology, it could help to begin the rapid decarbonisation of car use which is required this decade. Sharing, offers a cost-effective, socially progressive and implementable set of options to cut carbon. In this highly policy relevant and timely PhD studentship, there is considerable scope to apply and develop cutting edge analytics techniques drawn from data science fields as well as the potential to make methodological contributions and to carry out applied spatial analysis to inform policy and practice. This studentship is in partnership with Enterprise Holdings who are involved in both Car Club and traditional car rental businesses. They are also involved in exploring the synergies between transport modes for example through 'mobility hubs' and Mobility as a Service (MaaS).