N. Ahmadpoor
Data and GPS systems: comparing navigation and landmark knowledge between GPS users and non-GPS users
Ahmadpoor, N.; Heath, T.
Authors
Professor Tim Heath Timothy.Heath@nottingham.ac.uk
PROFESSOR OF ARCHITECTURE
Contributors
Anastasia Karandinou
Editor
Abstract
The experiments implemented in this research demonstrate that people who navigate an urban environment using GPS have poorer landmark knowledge than those who do not use GPS. Furthermore, discriminant analysis reveals certain attributes of urban landmarks that GPS users rely on for memory of urban place. The research also examines the reasons for poor landmark knowledge amongst GPS users and this is discussed from the perspectives of different disciplines. Finally, the paper analyses how the findings of this study can inform urban design and enable greater cognitive engagement of GPS users with urban environments by enabling them to develop greater landmark and spatial knowledge of place.
Citation
Ahmadpoor, N., & Heath, T. (2019). Data and GPS systems: comparing navigation and landmark knowledge between GPS users and non-GPS users. In A. Karandinou (Ed.), Data architecture and the experience of place: new approaches to data and senses. Routledge
Publication Date | Jan 1, 2019 |
---|---|
Deposit Date | Nov 22, 2018 |
Publicly Available Date | Jul 2, 2020 |
Publisher | Routledge |
Book Title | Data architecture and the experience of place: new approaches to data and senses |
Chapter Number | 9 |
ISBN | 9781351139311 |
Public URL | https://nottingham-repository.worktribe.com/output/1299771 |
Publisher URL | https://www.taylorfrancis.com/books/e/9781351139311 |
Files
Data and GPS systems
(772 Kb)
PDF
You might also like
Directing reused industrial heritage to public taste: the case of 1933 Old Millfun, Shanghai
(2023)
Journal Article
Practical challenges of urban regeneration in China
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search