A Virtual reality experiment to study citizen perception of future street scenarios
Author (Corporation)
ETH Zurich
Publication date
31.03.2023
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Collections
Type
05 - Research report or working paper
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Place of publication / Event location
Rochester
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Abstract
The current allocation of street space is based on expected vehicular peak-hour flows. Flexible and adaptive use of this space can respond to changing needs. To evaluate the acceptance of flexible street layouts, several urban environments were designed and implemented in virtual reality. Participants explored these designs in immersive virtual reality in a 2x3 mixed factorial experiment, in which we analysed self-reported, behavioural and physiological responses from participants. Distinct communication strategies were varied between subjects.
Participants' responses reveal a preference for familiar solutions. Unconventional street layouts are less preferred, perceived as unsafe and cause a measurably greater stress response.
Furthermore, information provision focusing on comparisons led participants to focus primarily on the drawbacks, instead of the advantages, of novel scenarios.
When being able to freely express thoughts and opinions, participants were focused more on the impact of the space on behaviour rather than the objective physical features themselves.
Especially, this last finding suggests that it is vital to develop new street scenarios in an inclusive and democratic way: the success of innovating urban spaces depends on how well the vast diversity of citizens' needs is considered and met.
Keywords
Virtual reality, Street scenario, Traffic, Pedestrian, Urban design
Subject (DDC)
624 - Ingenieurbau und Umwelttechnik
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Preprint
Review
No peer review
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Citation
SÁNCHEZ-VAQUERIZO, Javier Argota, Carina Ines HAUSLADEN, Sachit MAHAJAN, Marc MATTER, Michael SIEBERMANN, Michael VAN EGGERMOND und Dirk HELBING, 2023. A Virtual reality experiment to study citizen perception of future street scenarios. Rochester: SSRN. Verfügbar unter: https://doi.org/10.26041/fhnw-5787