An Integrated Urban Road Rehabilitation Planning and Decision Support Based on BIM and GIS
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, Sining | - |
dc.contributor.author | Suh, Wonho | - |
dc.contributor.author | Kim, Jung In | - |
dc.date.accessioned | 2024-04-12T05:00:18Z | - |
dc.date.available | 2024-04-12T05:00:18Z | - |
dc.date.issued | 2023-06 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118716 | - |
dc.description.abstract | The Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML) are commonly used open data formats for representing and exchanging information within building information modeling (BIM) and geographic information system (GIS), respectively. Although the integration of BIM and GIS based on IFC and CityGML has a great potential to support urban road rehabilitation planning and management, the existing IFC and CityGML standards cannot comprehensively and explicitly describe the features required for urban road rehabilitation planning procedures. To this end, this study aims to develop a data model to sufficiently represent the required information, serving as a formal basis for the IFC and CityGML schema extensions. The proposed IFC and CityGML extensions could work as the foundation of urban road rehabilitation information sharing and simulation to facilitate decision-making related to comparing alternatives and optimizing plans by considering multiple objectives in the planning phase. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | AMER SOC CIVIL ENGINEERS | - |
dc.title | An Integrated Urban Road Rehabilitation Planning and Decision Support Based on BIM and GIS | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1061/9780784485231.014 | - |
dc.identifier.scopusid | 2-s2.0-85184279007 | - |
dc.identifier.wosid | 001175569900014 | - |
dc.identifier.bibliographicCitation | Computing in Civil Engineering 2023, pp 112 - 120 | - |
dc.citation.title | Computing in Civil Engineering 2023 | - |
dc.citation.startPage | 112 | - |
dc.citation.endPage | 120 | - |
dc.type.docType | Proceedings Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Construction & Building Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.identifier.url | https://ascelibrary.org/doi/10.1061/9780784485231.014 | - |
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