Indian road sector has witnessed significant changes from the year 2014. The new government administrators and the ministry of road transport and highways have brought in various policy reforms, foreign investments and special drive to push the road construction activities. The ministry had initially planned to build roads at a pace of 40 km/day but only achieved construction of 32 km/day. In addition, a number of projects are pending which have been collectively taken up under the newly launched Bhartmala pariyojana scheme. There exist some constraints/factors within various stages of planning and execution, which is responsible for delays. The main focus of this study was to carry out an assessment of the impact of delay factors and prioritize them for a road project. A questionnaire survey followed by informal interviews was carried out to identify and assess the impact of various delays occurring in road projects in India. Data were collected amongst senior project stakeholders from government departments, consultants, contractors, and academicians. The response data were statistically analyzed and the results were used on a sample road project. A 4D virtual model of the entire stretch was made. A list of delays apt for the project was identified and their impacts on planned schedule and cost were found. The data were run on a monte carlo simulation platform for various outcomes on project planned time and cost. The simulation results revealed critical delay factors responsible for major delays in the road project. The critical delay factors are to be properly targeted, handled, and managed to ensure success in project completion. The findings of this study will greatly benefit stakeholders in road construction to identify and control the critical delay factors.

No abstract

No abstract

The study aims to gather information and assess the extent of delays and their impact on road and highway projects in India. The objective is to develop a delay assessment matrix for easy quantification of delay causing factors on project duration. A mixed method approach was used for data collection wherein information was gathered through literature review, questionnaire survey, interviews and responses under RTI act. The collected information was screened, verified and analyzed using statistical tools. Factor analysis was employed to arrive at a final list of 22 factors grouped in a 3x3 matrix having probability of occurrence vs. impact on project duration as the axes. The model was tested on a recently completed highway project using Monte Carlo simulation technique. The result of simulation was the increase in project schedule due to the occurrence of delays in the project in accordance with the specified probability and impact. The simulated duration of the project was in the range of 1095 days, 1229 days, and 1375 days for low, moderate and severe conditions respectively. The actual project duration was reported at 1116 days against contracted duration of 910 days. The simulated duration is found to be in close agreement with the actual duration of the project.

No abstract