Next Article in Journal
Particulate Matter Short-Term Exposition, Mobility Trips and COVID-19 Diffusion: A Correlation Analyses for the Italian Case Study at Urban Scale
Next Article in Special Issue
Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field
Previous Article in Journal
Nutrient Use Efficiency as a Strong Indicator of Nutritional Security and Builders of Soil Nutrient Status through Integrated Nutrient Management Technology in a Rice-Wheat System in Northwestern India
Previous Article in Special Issue
Sustainable Construction as a Competitive Advantage
 
 
Article

A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India

1
Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil 626126, Tamil Nadu, India
2
Faculty of Civil Engineering, Czestochowa University of Technology, 42201 Czestochowa, Poland
*
Authors to whom correspondence should be addressed.
Academic Editor: Antonio Caggiano
Sustainability 2021, 13(8), 4552; https://doi.org/10.3390/su13084552
Received: 4 February 2021 / Revised: 15 March 2021 / Accepted: 30 March 2021 / Published: 20 April 2021
Predicting the duration of construction projects with acceptable accuracy is a problem for contractors and researchers. Numerous researchers and tools are involved in sorting out this problem. The aim of the study is to predict the construction duration using four analytical tools as an approach. The success of construction projects in regard to time depends on various factors such as selection of contractors, consultants, cost of the projects, quality of the projects, the quantity of the projects, environmental factors, etc. Presently available commercial tools in the market are not designed as universally common and concerned. Every tool performs well in a particular situation. The prediction of India’s highway road projects duration is the biggest construction issue in the country due to various reasons. To overcome this problem, the methodology of the paper adopts various strategies to find suitable tools to predict the highway road projects’ duration, in which it classifies and analyzes the collected data. As a part of this work, the details of 363 government infrastructure projects (traditional procurement) were collected from 2000 to 2018. The present study also adopts various tools for duration prediction such as artificial neural networks (ANNs), smoothing techniques, time series analysis, and Bromilow’s time–cost (BTC) model. The results of the study recommend smoothing techniques with a constant value of 0.3, which gave the remarkable very small error of 1.2%, and its outcomes become even better when compared to other techniques. View Full-Text
Keywords: construction duration; artificial neural network; smoothing techniques; time series analysis; Bromilow’s time–cost model; prediction and infrastructure projects construction duration; artificial neural network; smoothing techniques; time series analysis; Bromilow’s time–cost model; prediction and infrastructure projects
Show Figures

Figure 1

MDPI and ACS Style

Velumani, P.; Nampoothiri, N.V.N.; Urbański, M. A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India. Sustainability 2021, 13, 4552. https://doi.org/10.3390/su13084552

AMA Style

Velumani P, Nampoothiri NVN, Urbański M. A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India. Sustainability. 2021; 13(8):4552. https://doi.org/10.3390/su13084552

Chicago/Turabian Style

Velumani, P., N. V. N. Nampoothiri, and M. Urbański. 2021. "A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India" Sustainability 13, no. 8: 4552. https://doi.org/10.3390/su13084552

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop