Roads Funding Priority Index for Developing Countries using Multivariate Analysis
Kaba Emmanuel Kosse
, Gabriel J. Assaf
Composite Indicator, Prioritization, Principal Component Analysis, Road Infrastructure
This article presents a new Road Funding Priority Index (RFPI) that simultaneously considers the technical, economic, social and environmental dimensions in order to assist decision makers in their selective processes of high-priority road construction and preservation projects. The RFPI is a decision support tool that was tested on 50 road projects, including 25 unpaved road construction projects and 25 existing paved road preservation projects. The stages of development of the RFPI are: the establishment of a theoretical framework (1), the selection of the relevant indicators (2), the transformation of indicators (3), the normalization of indicators (4), the correlation and significance test (5), the weighting using the principal component analysis (PCA) (6), the aggregation and calculation of the RFPI (7). Ten (10) high-priority road projects were selected based on their RFPI values. Among these high-priority road projects, 60% are preservation projects and 40% are construction projects, which depicts evidence of the importance of maintaining existing roads, but also of the construction of new ones as long as they have an RFPI close to 100. These conclusions demonstrate that the RFPI is a useful tool for improving, in a rigorous scientific method, the process of prioritizing road infrastructure in developing countries.
"Roads Funding Priority Index for Developing Countries using Multivariate Analysis", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 9, page no.144 - 162, September-2018, Available :https://ijsdr.org/papers/IJSDR1809022.pdf
Volume 3
Issue 9,
September-2018
Pages : 144 - 162
Paper Reg. ID: IJSDR_180651
Published Paper Id: IJSDR1809022
Downloads: 000346998
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave