Multi-criteria overlay analysis to determine road management priorities based on regional economic condition indicators

Abstract

Road construction has a positive impact on the growth of economic businesses and people's income; although it is not felt quantitatively by the community, from a macro perspective, it increases Gross Regional Domestic Product (GRDP) significantly. So, ideally, the entire road network in an area must be managed well and evenly. However, the regional government's budget will only be able to fund some maintenance or improvements to existing roads. Conditions like this require prioritization of road management based on regional conditions. This research aims to prioritize road management with a case study in Purwodadi Regency, Central Java Province, Indonesia. Prioritization uses a spatial analysis approach with several spatial indicator variables of economic conditions: the accessibility index, the ratio of road length to regional area, the independent village index, and the disadvantaged village index. The method used to analyze is multi-criteria overlay analysis (MCOA). MCOA allocates/prioritizes spatial objects (road networks) to suit certain purposes based on various attributes the selected spatial objects must have. The research results can show the road management priorities at the research location based on attribute/spatial variable influences (thematic map). Road networks in areas with a low economic index are a top management priority.