Rapid urban growth has increased the demand for reliable and sustainable micro-infrastructure in residential areas, particularly in rapidly developing cities. However, existing assessment approaches often emphasize technical performance while providing limited integration of environmental, social, economic, and governance dimensions. This study aims to develop a multi-criteria sustainability assessment model for micro-infrastructure in residential areas using Bekasi City, Indonesia, as a case study. The proposed model was constructed through a comprehensive literature review, expert consultations, and stakeholder engagement to identify relevant sustainability indicators and evaluation criteria. The indicators were organized into four sustainability dimensions: environmental, social, economic, and institutional. A weighting and scoring mechanism were then developed to measure the sustainability performance of residential micro-infrastructure systems, including local roads, drainage networks, water supply facilities, wastewater systems, and solid waste management facilities. The model was validated through its application to selected residential areas in Bekasi City to assess its practicality, consistency, and decision-support capability. The results demonstrate that the developed model effectively captures the multidimensional characteristics of infrastructure sustainability and provides a transparent framework for comparing sustainability performance across residential areas. Furthermore, the model enables the identification of critical improvement priorities and supports evidence-based planning and resource allocation. The study contributes a practical and adaptable assessment tool that can assist local governments, planners, developers, and policymakers in promoting sustainable residential infrastructure development. The framework may also be adapted to other urban contexts facing similar sustainability challenges in rapidly growing metropolitan regions.

Keywords

Sustainability assessment, Micro-infrastructure, Residential areas, Multi-criteria decision-making, Urban sustainability.