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

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Study of Spatial Pattern Distribution of Traditional Markets to Modern Markets in Surakarta City

Authors
Julianto1, Choirul Amin1, *, Umar El Izzudin Kiat1
1Faculty of Geography, Universitas Muhammadiyah, Surakarta, 57162, Jawa Tengah, Indonesia
*Corresponding author. Email: ca122@ums.ac.id
Corresponding Author
Choirul Amin
Available Online 26 June 2023.
DOI
10.2991/978-2-38476-066-4_18How to use a DOI?
Keywords
Population; Traditional and Modern Markets; ANN; Spatial patterns
Abstract

Population growth will encourage the development of economic development in a region. The trade sector, which continues to develop with the growth of trading facilities in traditional and modern markets, will create a pattern of distribution of trading points. Surakarta has 44 traditional markets and 88 modern markets as trading facilities. The market locations are spread across five districts. This study examines the spatial distribution pattern of traditional markets to modern markets in Surakarta City, using the Average Nearest Neighbor (ANN) analysis method with the help of ArcMap 10.8 software as a data processing tool. The results obtained in this study are that the pattern of distribution of traditional markets throughout Surakarta was included in the random pattern category, with a value of Nearest Neighbor Ratio = 1.020146. Meanwhile, the distribution pattern of the modern market was included in the clustered pattern category, with the Nearest Neighbor Ratio = 0.789121. Banjarsari sub-district was the area with the most trading facilities. The highest population and total area among other sub-districts in Surakarta City drove this.

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_18
ISSN
2352-5398
DOI
10.2991/978-2-38476-066-4_18How 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

risenwbib
TY  - CONF
AU  - Julianto
AU  - Choirul Amin
AU  - Umar El Izzudin Kiat
PY  - 2023
DA  - 2023/06/26
TI  - Study of Spatial Pattern Distribution of Traditional Markets to Modern Markets in Surakarta City
BT  - Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)
PB  - Atlantis Press
SP  - 283
EP  - 301
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-066-4_18
DO  - 10.2991/978-2-38476-066-4_18
ID  - 2023
ER  -