Grid-Based Semantic Enrichment of Human Mobility Data for Urban Spatial Patterns Profiling: Hotspot and Service Gap Area Detection in Kota Yogyakarta, Indonesia
The proposed grid-based semantic enrichment framework for urban spatial pattern detection provides a systematic methodology for extracting meaningful urban insights from large-scale human mobility data, with practical implications for evidence-based urban planning in mid-sized Indonesian cities.