## 1 Introduction  
The development of HSR services has been ultimately seen as a catapult for boosting the potential of cities and for unlocking societal benefits. The development of HSR services has gained significant momentum in 18 other countries due to the successful paradigm of the Shinkansen network in Japan. The Shinkansen service has played an essential role in improving social, educational, economic, and human lives. Additionally, Shinkansen services are reported to have provided a variety of benefits, such as an increase in convenience, reduction in travel time, opportunities for development of new areas, and regional expansion [1, 2, 3]. HSR services are perceived to be a new and smart alternative to the public commuting system because they have the ability to encourage economic growth. The service stimulates urban-suburban linkages. Passenger demand is soaring across the country because of the wide and seamless connections provided by HSR networks. For instance, not only does the Chinese HSR network enable domestic travels within the country, but it also connects China with its borders, expanding economic potentials (i.e., Belt and Road Initiative). The HSR network is expected to enhance China's GDP up to 3% [4; 5]. Likewise, a massive extension of HSR systems in European counties can also be observed. The EU has spent roughly 24 billion euros in HSR system since 2000, resulting in a rise in network lengths from 643 to 9226 km between 1985 and 2020 [6; 7]. With this growth in the HSR networks, the number of passengers using the service has been stimulated from 15 to 124 billion passenger kilometres during 1990 to 2016 [8; 9]. HSR systems offer convenient travels to passengers across borders, and stimulate EU countries' economies, in terms of productivity boost, growth of employment, and enlargement of local markets. While the socio-economic benefits are evident in the current society framework, particularly from the adults' perspective, these benefits do not adequately represent the collective goals of the entire population. Therefore, this study addresses a knowledge gap by examining the socio-economic repercussions for all stakeholders, including non-adult group, in terms of living quality, educational possibilities, and socio-economic benefits. This research emphasises advantages and disadvantages of HSR service. The World Bank's social factor data sets were conducted from the beginning of HSR operations. The purpose of this research is to determine the socio-economic implications of a range of important HSR systems through the use of source data sets. The study's new findings are important for policymakers as they examine present HSR networks and establish an effective plan for HSR networks. In the fact, only a few high-speed rail networks were carried out effectively. Most of networks have failed to earn a profit as a result of poor traffic induced by perceived disadvantages into society. In this study, CR (Chinese Railway, China), SNCF (Societe nationale des chemins de fer francais, France), JR Central (Japan Railway Central, Japan), Korail (Korea Railroad Corporation, Korea) and Renfe (Renfe-Operadora, Spain) networks are taken as case studies. To measure the socio-economic benefits of HSR networks, this study developed novel Python models with data imputation and PCC techniques. Regarding the data imputation technique, the study provides four methods composed of mean value, nuclear norm, KNN and median methods. Only the fittest model with the data sets is chosen for the imputation stage. Socio-economic factors then categorise the results into three categories: QoL, educational and economic. The novel contribution of this study has a broad range of applications in benchmarking socio-economic benefits from various HSR networks. Moreover, this research has embarked on a comprehensive survey to obtain expert opinions to further enhance the data analyses from 30 global HSR experts, who work in both academics and industry. The global expert review is unprecedented.