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Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments
While the development of cities tends to focus on improving traffic mobility, it has gradually neglected people’s demand for safety and comfort walking on the streets. To address this problem, shared streets that can integrate traditional street life and traffic mobility are getting more attention a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012376/ https://www.ncbi.nlm.nih.gov/pubmed/35427391 http://dx.doi.org/10.1371/journal.pone.0266591 |
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author | Xu, Lurong Oh, Taeho Kim, Inhi Hu, Xiaojian |
author_facet | Xu, Lurong Oh, Taeho Kim, Inhi Hu, Xiaojian |
author_sort | Xu, Lurong |
collection | PubMed |
description | While the development of cities tends to focus on improving traffic mobility, it has gradually neglected people’s demand for safety and comfort walking on the streets. To address this problem, shared streets that can integrate traditional street life and traffic mobility are getting more attention as pedestrian-friendly development. In order to measure the performance of shared streets, it is essential to identify how people feel when driving and walking around. However, investigating the various factors that influence the real world is not straightforward because of cost, time-consuming, and safety problems. Virtual reality and the Human-in-the-loop (HITL) have become valuable tools for conducting experiments without compromising them. The experiments are performed on both pedestrians’ and drivers’ sides. The three shared street layouts in a virtual environment are designed according to Europe’s real shared street cases. To evaluate shared street effects, questions in five aspects: amenity, walking or driving experience, safety, economy or priority, and environmental perception are asked to participants, respectively. MPR, EWM, and Fuzzy Comprehension Evaluation methods are used to assess the performance. The result revealed that different groups of people have different sensitivity and preferences for each evaluation criteria. However, the results of the comprehensive evalutation showed that scenario C with the largest isolation measurement is preferable in both pedestrian and driver’s groups based on shared street design elements. The city planners can get help from this shared street analysis, where the new design and layout could be tested in advance. |
format | Online Article Text |
id | pubmed-9012376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90123762022-04-16 Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments Xu, Lurong Oh, Taeho Kim, Inhi Hu, Xiaojian PLoS One Research Article While the development of cities tends to focus on improving traffic mobility, it has gradually neglected people’s demand for safety and comfort walking on the streets. To address this problem, shared streets that can integrate traditional street life and traffic mobility are getting more attention as pedestrian-friendly development. In order to measure the performance of shared streets, it is essential to identify how people feel when driving and walking around. However, investigating the various factors that influence the real world is not straightforward because of cost, time-consuming, and safety problems. Virtual reality and the Human-in-the-loop (HITL) have become valuable tools for conducting experiments without compromising them. The experiments are performed on both pedestrians’ and drivers’ sides. The three shared street layouts in a virtual environment are designed according to Europe’s real shared street cases. To evaluate shared street effects, questions in five aspects: amenity, walking or driving experience, safety, economy or priority, and environmental perception are asked to participants, respectively. MPR, EWM, and Fuzzy Comprehension Evaluation methods are used to assess the performance. The result revealed that different groups of people have different sensitivity and preferences for each evaluation criteria. However, the results of the comprehensive evalutation showed that scenario C with the largest isolation measurement is preferable in both pedestrian and driver’s groups based on shared street design elements. The city planners can get help from this shared street analysis, where the new design and layout could be tested in advance. Public Library of Science 2022-04-15 /pmc/articles/PMC9012376/ /pubmed/35427391 http://dx.doi.org/10.1371/journal.pone.0266591 Text en © 2022 Xu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Xu, Lurong Oh, Taeho Kim, Inhi Hu, Xiaojian Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments |
title | Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments |
title_full | Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments |
title_fullStr | Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments |
title_full_unstemmed | Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments |
title_short | Are shared streets acceptable to pedestrians and drivers? Evidence from Virtual Reality experiments |
title_sort | are shared streets acceptable to pedestrians and drivers? evidence from virtual reality experiments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012376/ https://www.ncbi.nlm.nih.gov/pubmed/35427391 http://dx.doi.org/10.1371/journal.pone.0266591 |
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