太阳成8722(中国)有限公司-GREEN NO.1

标题: Easement spatialization with two cases based on LADM and BIM

作者: Shen Ying, Yifan Xu, Cheng peng Li, Renzhong Guo, Lin Li

来源出版物: Land Use Policy 卷:109 文献号：105641 DOI: 10.1016/j.landusepol.2021.105641 出版年: October 2021

摘要: An easement is an important usufructuary right, and its main purpose is that one party wants to use the property of others to improve the benefits and interests of his own real estate. Because of the increasing population and accelerating urbanization urban planners have focused on the development and utilization of three-dimensional urban space, namely, underground, near ground and aboveground space, to use the spatial resources fully. Therefore, jurisprudence-confined planar easement must be combined with spatial information from two dimensions (2D) to three dimensions (3D), as well as 2D property boundaries to be extended to 3D to adapt to urban development. This paper focuses on the easement of access, which is the right to cross the property to go to and from another, under the context of 3D cadastres. The model of easement spatialization based on BIM (Building Information Model) specified by IFC (Industry Foundation Class) standards is constructed and analysed. The servient owner and the dominant owner of the easement can be linked because they are both attached to the same physical space. This paper takes a multistory building having individually owned condominium units as an example to demonstrate how to access the semantic information associated with the geometric information of 3D property objects in the BIM/IFC. The research results show that BIM/IFC can optimize the complex presentation of 3D property attributes and is an effective carrier of easement spatialization. The combination of legal information and spatial information of 3D properties not only optimizes the operation and maintenance of buildings but also improves land management and accelerates the development of 3D cities.

作者关键词: EasementLADMBIMIFC3D property

地址:

[Shen Ying, Yifan Xu, Cheng peng Li, Lin Li]School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei, China

[Yifan Xu]Chair of Geoinformatics, Technical University of Munich, Munich, Germany

[Renzhong Guo]Research Institute for Smart City, Shenzhen University, Shenzhen, Guangdong, China

[Shen Ying]Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, Guangdong, China

通讯作者地址: Ying, S (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 30079, Peoples R China.

Ying, S (通讯作者)，Minist Nat Resources, Key Lab Urban Nat Resources Monitoring & Simulat, Shenzhen 518000, Peoples R China.

电子邮件地址: shy@whu.edu.cn

影响因子：5.398