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The Use of Spatial Big Data for Planning Support : Case of Building-energy Data for Seoul Metropolitan Area

Donghan Kim 1

1국토연구원

Accredited

ABSTRACT

The advancement and spread of information and communication technology (ICT) has changed the way we live and act today. Computers and ICT devices have become smaller and almost invisible, and they are now virtually everywhere in the world. Most socio-economic activities are now subject to the use of computers and ICT devices, although we do not really recognize it due to pervasive computing technologies. Nevertheless, the activities supported by digital devices leave digital records, and a myriad of these records becomes what we call “big data.” Big data differs from conventional data that we have collected and managed in that it holds detailed information of people’s lives and activities. Thus, it offers new insight into our society, and hence a new opportunity for innovation. Not surprisingly, experts and scholars forecast that big data will transform various socio-economic activities as well as our societies. The goals of this research are twofold: First, it aims to understand the nature and characteristics of spatial big data. Then, it seeks to suggest ways of utilizing such spatial big data for planning support. In this regard, this study defines the concept of “planning a support system for big data,” which consists of modules and techniques for the visualization, analysis, and simulation of spatial big data. To achieve these goals, this study conducts an experimental case study with energy usage data for the Seoul Metropolitan Area. Then, the study concludes with future studies and policy measures to promote the use of spatial big data in the territorial and urban planning fields.

Citation status

* References for papers published after 2023 are currently being built.