Fractal Dimensions Analysis of Urban Agglomeration at Road Intersections in Metropolitan Malang Raya

Abstract

Abstract The agglomeration review is mostly carried out by identifying the physical and economic dispersal processes of the two growth poles. Many researchers conclude on the result of agglomeration rather than the process nor the forecasts. This study tries to examine the process of urban agglomeration in the metropolitan city of Malang. This is done by combining city fractal theory and urban percolation. The DBSCAN clustering approach at the intersection is used to identify the agglomeration process between the growth poles. While Minkowski’s Dimensional theory is used to identify the fractals that occur. The calculation results show that the maximum Minkowski dimension distribution figure is 200m. It indicates the fractals that occur in the road network data. The DBSCAN clustering modeling at 200m has a strong correlation with the number of light intensity values in the 2021 nighttime light satellite imagery. On the other hand, modeling at 250m to 350m provides an overview of the future agglomeration. This research can be the basis for urban planners to analyze the agglomeration process and predict the future.