MATEC Web Conf.
Volume 280, 2019The 5th International Conference on Sustainable Built Environment (ICSBE 2018)
|Number of page(s)||9|
|Section||Sustainable Resource Management|
|Published online||08 May 2019|
Quantifying Delay Risk Potential of Road Projects during Construction Phase: A Case Study
Civil Engineering, Diponegoro University, 50275 Semarang, Indonesia
* Corresponding author: email@example.com
A comprehensive plan is required to anticipate risks in a construction project. In practice, however, anticipated or unanticipated risks may eventually lead to delays in the project completion date. The aim of this research is to quantify the delay risk potential of a road project during the construction phase. A project at Batang-Kendal road has carried out thorough planning for all required aspects. However, in the implementation of a project, there is often the occurrence of irregular events, which act as a case study for this research, from which delays were identified, observations mapped and semi-structured interviews conducted with project stakeholders, i.e. owner, contractors and supervisory consultants. An instrument was developed to assess and quantify the project risks identified using a 1 to 5 Likert scale. The results showed nine types of delay risks and 32 sub risks. The quantification of these risks was classified into four risk levels, i.e. extreme (6.25%), high (53.13%), medium (34.37%) and low (6.25%). These findings may represent delay risk potentials of typical road projects during the construction phase, from which lessons can be learned. The assessment instrument proposed can also be used for other road projects, which will be beneficial for project stakeholders in anticipating delay risk potentials.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.