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Understanding drivers’ perspective on parking guidance information

Lookup NU author(s): Dr Yanjie Ji, Dr Amy Guo, Professor Phil BlytheORCiD



This is the authors' accepted manuscript of an article that has been published in its final definitive form by Institution of Engineering and Technology (IET), 2014.

For re-use rights please refer to the publisher's terms and conditions.


Parking guidance and information (PGI) systems are thought to enable a more efficient control and management of the traffic and the use of the available car park in urban areas. Despite the installation of PGI systems in many cities and their operation for a number of years, the levels of usage of PGI remain much lower than expected. To guide investment and operational decisions, this study examines the existing PGI systems from the drivers’ perspective. The results show that PGI is not efficiently used and often ignored by drivers because of the inaccurate or out-of-date nature of the information it is displaying. Habitual behaviour also played an important role in the choices of a car park. However, the results of the research also show that there is a desire for more accurate, dynamic and personalised parking information through different means at pre-trip stage and en-route stage. The results of this survey should provide some guidance in the design of future PGI systems.

Publication metadata

Author(s): Ji YJ, Guo W, Blythe PT, Tang D, Wang W

Publication type: Article

Publication status: Published

Journal: IET Intelligent Transport Systems

Year: 2014

Volume: 8

Issue: 4

Pages: 398-406

Print publication date: 16/06/2014

Online publication date: 02/10/2013

Acceptance date: 25/07/2013

Date deposited: 01/02/2018

ISSN (print): 1751-956X

ISSN (electronic): 1751-9578

Publisher: Institution of Engineering and Technology (IET)


DOI: 10.1049/iet-its.2012.0167


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Funder referenceFunder name
Transport Operations Research Group, in the School of Civil Engineering and Geosciences at Newcastle University
UKRC Digital Hub
2012CB725402National Key Basic Research Program of China
50908051National Natural Science Foundation of China