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Author

Rohit R. Salgude

Bio: Rohit R. Salgude is an academic researcher from Maharashtra Institute of Technology. The author has contributed to research in topics: Performance indicator & Integrated project delivery. The author has co-authored 2 publications.

Papers
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Book ChapterDOI
01 Jan 2021
TL;DR: In this article, the authors identified critical accident blackspots on the Mumbai-Pune Expressway using QGIS and generated Karl Pearson correlation coefficient and regression model between number of accidents and pavement roughness index.
Abstract: Expressways are the highest class of roads in the Indian road network, and approximately, 1581.4 km of expressways are operational in India. Road accidents have rose over decades and are a significant contributor towards human deaths. It is increasing yearly with the increase of road users and construction of road pavement globally. In India, more than 150,000 people are killed each year in traffic accidents and that is about 400 fatalities a day. Also, India losses 3% of its GDP to road accidents. The objective of this study is to segregate critical accident blackspots on Mumbai–Pune Expressway, to map the accident blackspots using QGIS and to generate Karl Pearson correlation coefficient and regression model between number of accidents and pavement roughness index.
Book ChapterDOI
01 Jan 2021
TL;DR: In this article, the authors have focused on application of a conceptual model based on KPIs and project constraints to monitor a real estate building project in Pune to predict the project delivery success factor (PDSF).
Abstract: A construction project usually involves different types of activities and has number of factors affecting it. Such situations demand rigorous monitoring and fluent coordination on the project. The final output of any project must be that it is delivered successfully. In this study, the researchers have focused on application of a conceptual model based on KPIs and project constraints to monitor a real estate building project in Pune. To predict the project delivery success factor (PDSF) of a 13 storeyed commercial building, two additional parameters, project performance index (PPI) and project monitoring and coordination index (PMCI), have been defined and used. Data has been collected from on-site observations, collecting authentic documents related to the particular project, meeting various involved stakeholders, interviewing them and making a note of their opinion and expertise. It has been clearly observed through the results that the PDSF for the real estate project under study is less. Therefore, the particular project has been considered as a possible failure, and various measures have been recommended to improve the PDSF.