In many cities Intelligent Transport Systems (ITS) oer drivers a wide range of information on the performance of the transport system. Parking Guidance and Information (PGI) systems provide drivers with information on the direction to and the availability of spaces at car parks. Advanced PGI systems also oer the possibility of presenting a range of real time information, including car park location, availability, waiting times and prices. It is important to investigate driver response to existing PGI systems since it is not clear what types of drivers are using them and how they are inยฏuencing parking choices. This paper describes the application of a number of statistical analysis techniques undertaken to estimate the impact of PGI systems in several cities in Japan. Major ยฎndings of a survey of drivers conducted in Shinjuku are presented. Models relating driver awareness, usage and understanding of PGI systems to various driver and trip characteristics were developed. Both driver awareness and usage were found to be strongly related to trip frequency and origin. Overall, it appears that many of the aims of the PGI systems studied are generally being achieved with only moderate awareness and usage levels. A study of the demand for spe-ciยฎc types of trac and parking was also undertaken in order to help understand the potential market for these systems as well as how they will aect transport choices. Drivers were found to be non-homogeneous with respect to their information needs. Several trip and personal characteristics aecting drivers desire for dierent types of information were identiยฎed. Many of these factors were found to be directly related to the drivers perceived knowledge of the trac and parking system. The nature of these market segments should be helpful in designing future ITS and PGI systems.