Studi On Big Data Analytics Framework in Smart City Context

Abstract

The issue of global urbanization, which is a separate problem faced by the government, is the very rapid growth of population density in cities. To face this challenge, the government launched a smart city project by targeting sustainable economic growth and improving the quality of life. Information and Communication Technology governance is the key to realizing a smart city. However, each of these I.C.T. tools produce large amounts of data known as Big Data. Data processing with the Big Data approach is becoming a trend in information systems to provide better public services and provide references in the policy-making process. However, to obtain important information in the scope of big data, a Big Data Analytics process is needed, also known as Big Data Value Chain. Extracting knowledge from the related literature can identify the characteristics of the big data analytic framework for smart cities. This paper reviews several big data analytic frameworks applied to smart cities. This paper is to find the advantages and disadvantages of each framework so that it can be a direction for future research

Pedestrian Flows Analysis to Create a Sustainable Development Concept for a Metropolitan Area

“…The results obtained in the course of the study are input independent parameters for simulation modeling, allowing to evaluate different scenarios for the organization of traffic or pedestrian flows, landscaping options, etc. The works of Logachev [10], Krasnikov [9], and Dinda [11] confirm this statement. Conducting a traffic feature analysis of road users is an important need in simulation modeling for a traffic control system.…”