Xu, X;
Ding, L;
Luo, H;
Ma, L;
(2014)
From building information modeling to city information modeling.
Journal of Information Technology in Construction
, 19
pp. 292-307.
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Abstract
With the development of Geographic Information System (GIS), the concept of digital city is implemented widely. However, in practice, most of the GIS models are relatively poorly attributed, semantically. Building Information Modeling (BIM) is a process involving the generation and management of digital representations of physical and functional characteristics of building, which is most used in small scale projects. In order to address the target problem of completing the semantic attribution of 3D digital city model, a framework of integrating BIM technology into GIS is demonstrated. A new concept of city information modeling (CIM) is proposed with the goal of bringing great benefits to the urban construction and city management. The composition of city information model is discussed. The data schema behind BIM and GIS (i.e. IFC and CityGML) are compared and mapped with each other. A case study of land planning of campus is demonstrated to present the potential benefits of CIM.
| Type: | Article |
|---|---|
| Title: | From building information modeling to city information modeling |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.itcon.org/2014/17 |
| Language: | English |
| Additional information: | © 2014 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution 3.0 unported (http://creativecommons.org/licenses/by/3.0/). |
| Keywords: | City information modeling, BIM, GIS, IFC, CityGML, Semantic mapping |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett Sch of Const and Proj Mgt |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10076395 |
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