1. Introduction: Grounded in key global milestones—from the 1989 International Decade for Natural Disaster Reduction, through the 2005 Hyogo Framework for Action, to the 2015 Sendai Framework—the study outlines the evolution of DRR discourse and its intersection with different levels of spatial planning (such as urban, regional, rural planning). Recognizing a gap in the literature regarding the linkage between planning science and DRR objectives, the research formulates a critical question: How do spatial planning studies contribute to DRR? 2. Methodology: A bibliometric methodology was employed using the Web of Science database, focusing on publications in English from 1984 to 2024 that concurrently address spatial planning and DRR. The process involved careful keyword selection by literature review and manual filtering, followed by visualization and network analysis using tools such as CiteSpace, VOSviewer, Biblioshiny, and Excel. This approach enabled the identification of key trends of academic output, collaboration networks, co-occurrence network of keywords, keyword trends, and co-citation clusters. 3. Results: Preliminary results reveal a total of 4,020 relevant articles accumulating over 103,925 citations, with an annual growth rate of 7.84% in DRR-related spatial planning research. The analysis highlights a global expansion of research output, particularly noting a shift from predominantly developed countries to increased contributions from emerging economies. Additionally, four primary keyword clusters were identified: Urban Disaster Risk Management through Spatial Planning, Land Use and Flood Risk Management, Traditional Technologies in Seismic Hazard Analysis, Advanced Technologies in Land Cover and Spatial Pattern Analysis. Notably, the data also expose a lack of interdisciplinary collaboration between geologists and urban planners, hinting at opportunities for integrative research that bridges scientific hazard assessments with planning and design strategies. The co-citation analysis highlights six top clusters: Using Machine Learning, Landslide Susceptibility Mapping, Evidence Model, Building Extraction, Urban Resilience, GIS-Based Study. 4. Conclusions: The focus of DRR and spatial planning research often mirrors the prevalent disaster types specific to certain regions. Emerging trends in this field include a heightened discourse on DRR topics and the integration of advanced research methodologies, such as deep learning, remote sensing, machine learning, and random forests. Furthermore, contemporary issues like COVID-19, smart cities, and climate change are increasingly being addressed within this research domain. However, several challenges remain. There is a notable lack of collaborative research that bridges geological disaster assessment and spatial planning. Moreover, studies emphasizing community-based participation are limited. Research focusing on smaller scales, including urban and landscape design, is also underrepresented.