Active travel has received increased investment and interest in many countries both due to COVID-19 and to policies which promote a shift in mobility behaviours to support a wide range of public and individual goods. However, while there has often been substantial investment in the physical infrastructure that can help facilitate active travel, there has not so far always been commensurate investment in the data infrastructure which can help enable people to shift trips to active modes. Current fragmented data and data models and a lack of data standards pose a barrier to the development of the applications which are needed to support planners, users and journey planning. There is therefore a need for a more integrated, better-connected and more richly attributed active travel geospatial network model. This paper describes the development of such a data model, and its initial application to a case study of Great Britain. It demonstrates how the development, population and maintenance of such a data model could facilitate a range of novel applications, such as the personalisation of active travel journey planning to address different user needs and capabilities. If the potential societal benefits from investment in physical active travel infrastructure are to be fully realised, this needs to be supported by the availability of a robust spatial data infrastructure capable of providing the information required by walkers, wheeled users and cyclists to make effective use of the active travel network.

中文翻译：

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用于主动旅行基础设施的集成地理空间数据模型

由于新冠肺炎 (COVID-19) 疫情以及促进出行行为转变以支持各种公共和个人商品的政策，主动出行在许多国家获得了越来越多的投资和兴趣。然而，虽然人们经常对有助于促进主动出行的实体基础设施进行大量投资，但迄今为止，在能够帮助人们将出行转变为主动出行方式的数据基础设施方面却并不总是有相应的投资。当前分散的数据和数据模型以及缺乏数据标准对支持规划者、用户和旅程规划所需的应用程序的开发构成了障碍。因此，需要一个更集成、连接更好、属性更丰富的主动旅行地理空间网络模型。本文描述了这种数据模型的开发，及其在英国案例研究中的初步应用。它展示了这种数据模型的开发、填充和维护如何促进一系列新颖的应用程序，例如主动旅行旅程规划的个性化，以满足不同的用户需求和能力。如果要充分实现对实体主动出行基础设施投资的潜在社会效益，就需要提供强大的空间数据基础设施的支持，该基础设施能够提供步行者、轮式用户和骑自行车者有效利用所需的信息。活跃的旅游网络。