Paper Title

Risk identification based on Historic Data Analysis and Questionnaire Related to Highway construction Projects

Authors

Anupam Shukla , Rajesh Tripathi , G.D.Ramtekkar

Keywords

Risk Identification, Data Collection, Questionnaire, Cost and Time management, Forecasting, Highway construction.

Abstract

The present work aims at developing an conclusive idea for risk identification framework from the perspectives of project life cycle, and based on the questionnaire received from experts. The reviewers of current literature, has been selected to identify common risks in PPP infrastructure projects and classification methods. The risks identified from the literature were classified using project life cycle perspectives for Risk assessment. An assessment framework for risks associated with PPP project using fuzzy analytical hierarchy process (FAHP). This paper provides a framework for assessment of risks in PPP projects followed by an illustrative example where the data will be obtained from survey questionnaires. To find that in this work that risks associated in PPP infrastructure projects are unique and therefore it is beneficial to classify them from project life cycle perspectives

How To Cite

"Risk identification based on Historic Data Analysis and Questionnaire Related to Highway construction Projects", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.420 - 421, May-2017, Available :https://ijsdr.org/papers/IJSDR1705075.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 420 - 421

Other Publication Details

Paper Reg. ID: IJSDR_170362

Published Paper Id: IJSDR1705075

Downloads: 000347033

Research Area: Engineering

Country: RAIPUR, CHHATTISGARH, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705075

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705075

About Publisher

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

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