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一辆车，但不是所有的时间。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运输的脱碳。因为它使用的是现有的技术，它可以帮助开始汽车使用的快速脱碳，这是本十年所需要的。共享为减少碳排放提供了一套具有成本效益、社会进步和可实施的选择。在这个与政策高度相关且及时的博士学位中，有相当大的空间来应用和开发来自数据科学领域的前沿分析技术，以及做出方法学贡献和开展应用空间分析以为政策和实践提供信息的潜力。该奖学金是与企业控股公司合作的，企业控股公司既参与汽车俱乐部，也参与传统的汽车租赁业务。他们还参与探索运输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).