数据共享原则

Increased digitalization and the ability to analyze large amounts of data is revolutionizing infrastructure and business models. 例如, by integrating data across the health and transportation systems, first responders can quickly reach accident sites and traffic management systems can redirect oncoming traffic. Traffic planners can use vehicle and street data to address any design issues and make street infrastructure safer. Consumers can also leverage data to understand the societal and environmental impacts of their mobility choices and choose more convenient and sustainable options. 优化更改, mobility needs a shared digital framework that allows aggregation of new sources of data for a high-fidelity picture of the urban environment.

所面临的挑战

The collection and use of mobility data come with a set of challenges and risks – not just for the individuals and entities to whom the data corresponds, but to the organizations and utilities who access, 存储和共享数据. Many entities are averse to sharing data, for reasons such as real and perceived competition, 隐私与道德, 网络安全和责任. Overcoming these challenges means finding alignment between multiple actors including citizens, 政府, businesses and civil society.

商业案例

A myriad of new applications that create public and private sector value become possible when mobility data is exchanged. 例如, sharing freight assets helps improve network efficiencies, lower carbon emissions and reduce transportation costs for operators. Many efficiency improvement possibilities arise from integrating mobility data and the true potential value of data-sharing is largely unknown. New applications and new sources of value are likely to emerge as different streams of data are aggregated and analyzed.

解决方案

Collaborative action is crucial for enabling data-sharing toward sustainable urban mobility. This workstream identifies common ground between stakeholders by developing a shared understanding of the problem and defining fundamental principles for data-sharing. In partnership with a range of mobility stakeholders including auto manufacturers, 操作员和专家, we have identified a set of principles for data sharing. It is our view that these principles could be applied to develop data-sharing policies, governance models and agreements.