Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)

Analysis of the Relationship Between the Percentage of Residential Density and the Built-Up Land Index in Community Environments

Authors
Rivi Yuliya Indriarti1, Hamim Zaky Hadibasyir1, *, Annisa Trisnia Sasmi1
1Faculty of Geography, Universitas Muhammadiyah Surakarta (UMS), Surakarta, 57162, Central Java, Indonesia
*Corresponding author. Email: hamim.zaky.h@ums.ac.id
Corresponding Author
Hamim Zaky Hadibasyir
Available Online 26 June 2023.
DOI
10.2991/978-2-38476-066-4_25How to use a DOI?
Keywords
Population growth; built-up land index; building density; urbanization
Abstract

The city is the center of various activities, including those related to the economy, services, government, and education. Specifically, the development of Semarang City spurs the growth of buildings. However, population growth in Semarang City is only concentrated in a few sub-districts. Births, deaths, and migration are the main drivers of population growth. Thus, this study aims to determine the level of building density in Semarang City, the correlation and regression values of the built-up land index with the percentage of built-up land, and the estimation of the distribution of built-up land. Building density was seen using the built-up land index in the form of NDBI, UI, IBI, and EBBI. Image transformation was also performed utilizing the NDBI (Normalized Difference Built-up Index), UI (Urban Index), IBI (Index-based Built-up Index), and EBBI (Enhanced Built-up and Bareness Index) algorithms. The algorithm employed comprised channels or bands in the Landsat 8 OLI/TIRS imagery. A total of 30 samples were involved in building correlation and regression values. As a result, significant correlation and regression had a low relationship, with an R-square value of 0.282 on EBBI, while NDBI, UI, and IBI had a non-significant correlation, and the regression had a very low relationship, with an r-square value < 0.1. Besides, the estimated percentage of built-up land produced different estimation values, with the highest estimated value found in the EBBI built-up land index with a value of 85.29% to 99.66%. Moreover, the high density of buildings is due to the increasing population in Semarang City; after the decline in COVID-19 cases, the increase in living needs triggered urbanization.

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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Volume Title
Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
26 June 2023
ISBN
10.2991/978-2-38476-066-4_25
ISSN
2352-5398
DOI
10.2991/978-2-38476-066-4_25How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Rivi Yuliya Indriarti
AU  - Hamim Zaky Hadibasyir
AU  - Annisa Trisnia Sasmi
PY  - 2023
DA  - 2023/06/26
TI  - Analysis of the Relationship Between the Percentage of Residential Density and the Built-Up Land Index in Community Environments
BT  - Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)
PB  - Atlantis Press
SP  - 392
EP  - 406
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-066-4_25
DO  - 10.2991/978-2-38476-066-4_25
ID  - Indriarti2023
ER  -