Owner Estimate (OE) and Winning Bid Price of Transportation Infrastructure Tender in Mathematical and Statistical Perspectives
- DOI
- 10.2991/978-94-6463-100-5_13How to use a DOI?
- Keywords
- Transportation infrastructure; Owner estimate (OE); Winning bid price
- Abstract
The significant difference between the owner estimate (OE) and the winning bid price (COGS) is expected to cause non-optimal use of the budget for transportation infrastructure development which indirectly causes hampering the acceleration of regional economic growth in a region. This study aims to analyze the differences that occur using mathematical models and parametric statistical analysis. The analysis was carried out on all transportation infrastructure projects in the East Java region from 2017 to 2021, namely 464 projects. The results of the analysis showed that a simple linear regression model was chosen to be the model that best describes the relationship between the owner estimate (OE) and the winning bid price (COGS). Parametric statistical analysis shows that the level of difference between the two variables is still within reasonable limits.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Purwo Mahardi AU - Mochamad Firmansyah Sofianto AU - Mas Suryanto AU - Gde Agus Yudha Prawira Adistana AU - Meity Wulandari PY - 2022 DA - 2022/12/27 TI - Owner Estimate (OE) and Winning Bid Price of Transportation Infrastructure Tender in Mathematical and Statistical Perspectives BT - Proceedings of the International Joint Conference on Science and Engineering 2022 (IJCSE 2022) PB - Atlantis Press SP - 125 EP - 135 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-100-5_13 DO - 10.2991/978-94-6463-100-5_13 ID - Mahardi2022 ER -