Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Effectiveness of a Planning Support System Targeting Rebuilding in Immersive Virtual Environment in Fukui, Japan

Bibliographic Data

ID21987744
AuthorsYamato Yuya (Fukui National College of Technology), Osada Taisei, Pindo Tutuko (0000-0001-6517-3314), Nguyen Dinh-Thanh, Nurul Aini (0009-0003-3954-3715)
Year2024
Volume16
Issue2
Pages29-40
Publication date2024-07-15
Open AccessYes
TypeARTICLE
VenueLocal Wisdom Jurnal Ilmiah Kajian Kearifan Lokal (JOURNAL)
Journal identifiersISSN: 2086-3764 • E-ISSN: 2615-4951
PublisherUniversitas Merdeka Malang (PUBLISHER • ID)
DOI10.26905/lw.v16i2.12111
OpenAlexW4402935819
LanguageEN

Resident participation is an essential part of community development. In order to reflect residents' opinions, it is considered necessary to conduct workshop. We apply the community development guidance method (hereinafter, CDGM). The CDGM is a method that allows the replacement or deregulation of some of the regulations of the Building Standard Law by the agreement of the residents of a certain area. However, it takes a deal of time and effort to build consensus among residents, and the CDGM is to obtain their consensus. Therefore, this study is to examine effectiveness of an immersive planning support system for architectural rebuilding using virtual space and the CDGM. We believe that an immersive planning support system in a virtual environment is effective because it allows residents to enter and experience the street after the plan has been updated, making it easier for them to imagine the street. As a result, we confirmed the applicability of this technology to community briefings

Human–computer interaction · Operating system · Systems engineering · Virtual machine · Virtual reality · Computer Science · Engineering · Urban and spatial planning

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae