Deakin University
Browse

File(s) under permanent embargo

Estimating demolition costs for single residential buildings

journal contribution
posted on 2003-01-01, 00:00 authored by Chunlu LiuChunlu Liu, B Lyle, Craig Langston
With the increasing stock of aging structures, building
demolition is becoming achallenging research field from
the perspective of management. As the converse of
construction, management of demolition puts forward some
new management themes or adds some new contents
even though the same issues are faced in construction
management. This research aims to develop a quantitative
approach to estimate the costs of a demolition project. A
cost analysis method is presented to systematically break
down the cost components involved in the demolition of
a structure. Due to the lack of robust research in theory
and systematic summary in practice to date, the economic
performances of demolition will be studied through acase
study, and the majority of parameters are derived from
actual experiences in practice. The proposed demolition cost
estimation method is applied to the actual form of building
elimination (Scenario 1), and further comparison is carried
out with two other elimination methods, which are the newly
developed deconstruction (Scenario 2) and mechanical
demolition (Scenario 3). Deconstruction is found to be the
most profitable in this particular instance, and is closely
followed by the actual form.

History

Journal

The Australian journal of construction economics and building

Volume

3

Issue

2

Pagination

33 - 42

Publisher

Australian Institute of Quantity Surveyors and the Australian Institute of Building

Location

[Sydney]

ISSN

1445-2634

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2003, Australian Institute of Quantity Surveyors and the Australian Institute of Building

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC