Prediction models for low volume village roads in India are developed to evaluate the progression of different types of distress such as roughness, cracking, and potholes. Even though the Government of India is investing huge quantum of money on road construction every year, poor control over the quality of road construction and its subsequent maintenance is leading to the faster road deterioration. In this regard, it is essential that scientific maintenance procedures are to be evolved on the basis of performance of low volume flexible pavements. Considering the above, an attempt has been made in this research endeavor to develop prediction models to understand the progression of roughness, cracking, and potholes in flexible pavements exposed to least or nil routine maintenance. Distress data were collected from the low volume rural roads covering about 173 stretches spread across Tamil Nadu state in India. Based on the above collected data, distress prediction models have been developed using multiple linear regression analysis. Further, the models have been validated using independent field data. It can be concluded that the models developed in this study can serve as useful tools for the practicing engineers maintaining flexible pavements on low volume roads.

This paper aims at studying the factors that contribute to time delay and cost overrun of Road over Bridge (ROB) projects in India. Data for the research study were collected from 62 respondents, including owners, contractors, and consultants of ROB projects. The literature survey and the questionnaire survey helped in identifying 29 factors. The topmost factors were ranked based on the frequency of occurrences. The correlation among owners, contractors, and consultants on ranking of factors was derived by Spearman rank correlation. Factor analysis was used to classify the factors into groups and identify the key groups responsible for time delay and cost overrun of projects. This study will help all stakeholders of ROB projects in India to understand the factors and thereby reduce time delay and cost overrun as well as expedite their completion.

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Developing countries have seen an increase in construction of tall buildings in metropolitan cities due to space constraint. The construction of tall buildings in developing countries is undertaken as a combination of manpower and equipment to economize costs. This combination or interface of manpower and equipment, particularly in the basic activities such as concreting, reinforcement, formwork, blockwork, and plastering affects productivity of both the resources. This research aims at studying the factors affecting productivity of manpower and equipment at the micro level for the basic activities of construction for tall building projects. The factors have been further grouped and combined as sections. Responses collected through questionnaire survey from 109 personnel associated with the construction of 72 tall buildings in different geographies of India have been analysed using theoretical tools like frequency index, Spearman's rank correlation coefficient, and factor analysis. The factors have been prioritized in descending order of frequency indices. Based on analysis, it is found that factors in human and planning groups are more influential and affect manpower and equipment productivity significantly. Contract managers and cost engineers can use this study to make allowance while analysing productivity and estimating costs for tall buildings having combined usage of manpower and equipment.

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