Paper Title: Data Analytics to Evaluate Public Value from Megaprojects
Authors: Dr.Ganesh Devkar (CEPT), Shankar Sankararan (UTS) , Yongjian Ke (UTS), Johan Ninan (IIT Guwahati), Sandeep Mathur (Transport for New South Wales), Ivor Tsang (UTS) and Lauri Vuorinen (Tampere University)
Abstract: The unprecedented investment in megaprojects that has been witnessed in recent years seems likely to accelerate post Covid-19 with several countries, like Australia and the United Kingdom, announcing large infrastructure projects for economic revival. COVID-19 has also created social challenges due to increased unemployment that could result in increase in poverty which could be helped when these projects become a reality. However, some scholars caution that rapid urbanisation and inappropriate development of infrastructure could work against containing a pandemic like COVID-19. The creation of value delivered by megaprojects has been gaining a lot of interest by scholars studying megaprojects. Big data sets are increasingly used to help public managers derive real-time insights into behavioural changes, public opinion, or daily life. Big data has been used to evaluate customer agility and responsiveness for public value creation. Based on this need this paper we would like to address the following question in our paper: How can data science enable evaluation and monitoring of delivery of public value over the life cycle of a megaproject?. Some work towards this aim has already been carried out by the authors but more is needed.The authors have been collected and analyzed social media data from transport projects from Australia and India to see how large amounts data collected from these media can aid in the evaluation of benefits realized from these projects.