A Structural Equation Modeling Approach to the Post-Slum Upgrading Policy Design: Empirical Evidence from Banjarbaru City, Indonesia

Authors

  • Dhiya’ul Akbar Environment Science Department, Lambung Mangkurat University, Banjarmasin, Indonesia
  • Akbar Rahman Architecture Department, Lambung Mangkurat University, Banjarbaru, Indonesia
  • Iphan Fitrian Radham Civil Engineering Department, Lambung Mangkurat University, Banjarbaru, Indonesia
  • Ira Mentayani Architecture Department, Lambung Mangkurat University, Banjarbaru, Indonesia
Volume: 16 | Issue: 1 | Pages: 32212-32220 | February 2026 | https://doi.org/10.48084/etasr.15943

Abstract

Slum settlements remain a persistent challenge in the urban areas of Banjarbaru City despite various upgrading programs implemented over the past decade. This study aims to evaluate the key variables influencing post-upgrading outcomes and develop a policy framework for sustainable slum improvement, focusing on the Kemuning area as a representative case. Using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) approach, the analysis identified three significant variables affecting post-upgrading environmental and social conditions: infrastructure quality (β = 0.408, p < 0.001), green open space management (β = 0.313, p < 0.001), and water, wastewater, and solid waste management (β = 0.321, p = 0.002). The findings demonstrate that adequate infrastructure, well-managed urban green spaces, and effective resource management systems significantly enhance both environmental quality and community well-being after the upgrading phase. This study contributes to the development of an evidence-based policy design for sustainable slum transformation in mid-sized tropical cities, emphasizing the integration of environmental, infrastructural, and social dimensions in post-slum governance.

Keywords:

slum settlements, post-upgrading policy, sustainable housing, SEM-PLS, Banjarbaru City

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How to Cite

[1]
D. Akbar, A. Rahman, I. F. Radham, and I. Mentayani, “A Structural Equation Modeling Approach to the Post-Slum Upgrading Policy Design: Empirical Evidence from Banjarbaru City, Indonesia”, Eng. Technol. Appl. Sci. Res., vol. 16, no. 1, pp. 32212–32220, Feb. 2026.

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