Big Data Analytics as a Solution to Track Carbon Emission in Smart Cities: A Systematic Literature Review

DOI

10.2991/978-94-6463-144-9_33How to use a DOI?

Keywords

Big data; carbon emission; climate change; smart cities; systematic literature review

Abstract

The rise of big data and smart cities has expanded from time to time. The smart cities concept also connected with big data as the key factor. The big data analytics have a chance for a starting point to reduce carbon emissions that contribute as part of climate change. Big data analytics refers generally to any huge amounts of data that may be gathered, saved, retrieved, integrated, selected, pre-processed, converted, analyzed, and interpreted in order to learn something new or extract relevant knowledge. Big data analytics, in the context of smart sustainable cities, refers to a collection of sophisticated and specialized software applications and database systems operated by devices with extremely high processing power, that can transform a significant amount of urban data into knowledge, for well-informed decision-making and enhanced insights in relation to various urban domains, such as transportation, mobility, traffic, environment, energy, land use, planning, and design. Big data analytics have potential to be used as a solution for smart and sustainable cities. The importance to every city in country to have a precision data about carbon emission is to evaluate result and make a better decision to reduce carbon emission. This research finds the integration of different and varied systems in a smart city environment is a practical challenge for emergency management. Smart cities in the next generation must be focused on this integration which provides valuable data to support emergency detection, warning and mitigation.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Azzahra Nabilla Syafira
AU  - Eri Bunyamin Gufron
AU  - Reza Muhammad Rifqi
AU  - Asaduddin Abdullah
PY  - 2023
DA  - 2023/05/15
TI  - Big Data Analytics as a Solution to Track Carbon Emission in Smart Cities: A Systematic Literature Review
BT  - Proceedings of the Business Innovation and Engineering Conference (BIEC 2022)
PB  - Atlantis Press
SP  - 335
EP  - 342
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-144-9_33
DO  - 10.2991/978-94-6463-144-9_33
ID  - Syafira2023
ER  -