EconPapers    
Economics at your fingertips  
 

The Neuro-Cognitive Approach to Urban Planning: Wayfinding Behavior Analysis and its Effect on Urban Planning

İlker Erkan

Journal of Urban Technology, 2024, vol. 31, issue 2, 45-71

Abstract: This study analyzed the urban wayfinding of people. A virtual city was designed for the study. A total of 712 people (358 men and 354 women) participated in the project. The virtual reality (VR) system allowed participants to navigate the virtual city. An electroencephalography (EEG) device was employed to measure the brain waves of participants during their wayfinding action, while eye-tracking (ET) devices were used to determine where the participants were looking. In addition, software developed for this study was used to determine the amount of time participants spent in certain parts of the city. Much more data were obtained by using different analysis techniques. In the study, the narrow streets negatively affected people's wayfinding behavior, while it was also found that the participants had difficulty finding their way around high buildings. In addition, people found wayfinding easy in wide streets. It is thought that the study will bring a different dimension to both urban design and architectural design disciplines.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10630732.2023.2289144 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:cjutxx:v:31:y:2024:i:2:p:45-71

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/cjut20

DOI: 10.1080/10630732.2023.2289144

Access Statistics for this article

Journal of Urban Technology is currently edited by Richard E. Hanley

More articles in Journal of Urban Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:cjutxx:v:31:y:2024:i:2:p:45-71