Bim And Urban Land Administration 1st Edition Abbas Rajabifard Author Behnam Atazadeh Author Mohsen Kalantari Author by Abbas Rajabifard (author); Behnam Atazadeh (author); Mohsen Kalantari (author) 9781138491687, 9781351032315, 9781351032322, 9781351032339, 9781351032346, 1138491683, 1351032313, 1351032321, 135103233X instant download after payment.

Rapid urbanization has created an unprecedented pressure on the use of land in cities around the world, resulting in physical and legal complexities. This book explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital data environment of Building Information Modelling (BIM). The main focus is to adopt a BIM-based paradigm for enhancing communication and management of complex ownership rights in multi-story buildings, which are prevalent in urban built environments. This book first elaborates on a range of data elements required for managing legal information in current land administration practices pertaining to subdivision of legal interests within multi-story building developments. It then explains how an open data model in the BIM domain – Industry Foundation Classes (IFC) – can be extended with legal data elements to lay the foundation for adopting BIM in urban land administration. The book also highlights benefits and barriers of implementing BIM-enabled urban land administration.

Features

• Explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital　data environment of BIM.
• Highlights the existing challenges associated with current practice of urban land administration for multi-story buildings.
• Introduces the potential of 3D digital environment of BIM for the purpose of mapping and registering legal interests.
• Describes how BIM-based data models can be extended for recording, managing, and representing legal ownership of properties over a building`s lifecycle.
• Includes models of multi-story buildings as case studies to demonstrate the feasibility of extended BIM-based data models.