Quantifying Service Hierarchy and Territorial Typologies in the Mamminasata Metropolitan Area: A Scalogram Analysis

Aslam Jumain (Department of Urban and Regional Planning, Faculty of Engineering, Bosowa University, Indonesia)
Tahir (Department of Development Economics, Faculty of Economics and Business, Bosowa University, Indonesia)
Retno Ayu Kusumaningrum (Department of Management, STIM Lasharan Jaya Makassar, Indonesia)
Muh Nur Imam (Department of Urban and Regional Planning, Faculty of Engineering, Bosowa University, Indonesia)
Rivqa Musjhtahida A (Department of Urban and Regional Planning, Faculty of Engineering, Bosowa University, Indonesia)
Panjhi Arieq Naufal Mugni (Department of Urban and Regional Planning, Universitas Muhammadiyah Barru, Indonesia)
Anggi Azizah Mas (Department of Mining Engineering, Faculty of Mining and Earth Engineering, Bosowa University, Indonesia)
St Nurhalizah Mardjuni (Department of Mining Engineering, Faculty of Mining and Earth Engineering, Bosowa University, Indonesia)

ARMADA : Jurnal Penelitian Multidisiplin
Vol. 4 No. 9 (2026): ARMADA : Jurnal Penelitian Multidisplin, September 2026

Uneven distribution of higher-order services can reinforce core–periphery disparities within metropolitan regions. This study quantifies the service hierarchy and derives territorial typologies for the Mamminasata Metropolitan Area, South Sulawesi, Indonesia. A cross-sectional dataset covering four aggregated territorial units Makassar, the Mamminasata sections of Gowa and Maros, and Takalar was analysed using a Guttman scalogram of 19 education, health, worship, and commercial facility types. Facility diversity was interpreted alongside gross population density and population-derived built-form indicators. Makassar contained all 19 facility types, followed by Gowa (18), Maros (17), and Takalar (14). The ordered matrix formed a perfectly nested pattern, with a coefficient of reproducibility of 1.00. Population density declined from 83.62 persons ha⁻¹ in Makassar to less than 10 persons ha⁻¹ in each peripheral unit. The integrated results identified Makassar as the service core, Gowa as the inner-transition unit, Takalar as the outer-transition unit, and Maros as the lower-intensity outer zone. The divergence between service completeness and settlement intensity indicates that metropolitan investment should prioritise service capacity, accessibility, and interjurisdictional connectivity.