Requirements for extra data, for data update for tracking over time, plus data management systems to manage large and diverse data sets, place strains on transport data budgets. In this situation the data manager asks when is it worth or when is it necessary to invest in updating this information? This is particularly an issue for updates of transport surveys which are often costly to conduct. Yet the type of information collected in transport surveys, providing insights into revealed and stated behaviour and preferences, is particularly important when moving to a more sustainable transport system depends upon behavioural change. Regular updates are likely to be needed and a continuing horizon for data review and refreshment cannot be avoided. This paper addresses a process model for dealing with this crucial question. It develops a way of ensuring that it is problem based rather than an attempt to upgrade existing data wholesale, or fill gaps for the sake of it. Many different types of data are required, and to be able to prioritise where the value is greatest in securing fresh information is critical. A better system than we currently have to address this in a timely and balanced manner is needed. (a) For the covering entry of this conference, please see ITRD abstract no. E216058.
Samenvatting