@article{MAKHILLJEAS202116619541,
    title = {The Development of Regression Models for Preliminary Prediction of Road Construction
Duration},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {16},
    number = {6},
    pages = {226-231},
    year = {2021},
    issn = {1816-949x},
    doi = {jeasci.2021.226.231},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2021.226.231},
    author = {Ibrahim},
    keywords = {duration,prediction,road construction,Regression,preliminary models},
    abstract = {This study aims at developing mathematical
models for preliminary prediction of road construction
duration using multiple regression techniques, based on
112 sets of data collected in the West Bank in Palestine.
5 regression models are developed to estimate the road
construction duration in working days; 3 of them include
bid quantities as input variables and 2 include road length
and road width. The findings indicate that the coefficient
of multiple determination (R<sup>2</sup>) of the developed models is
ranging from 0.88-.93 which confirms a good correlation
between dependent and independent variables. The value
of the Mean Absolute Percentage Error (MAPE) of the
developed regression models is ranging from 19.1-31.4%.
As the developed models are early phases ones,
considerations were given to the fact that the input data
could be easily extracted from sketches or scope
definition of the projects.}
    }