Conventional models for delineating railway station influence areas often fail to account for the anisotropic spatial characteristics of urban environments and the critical role of actual station access points. To address this, this study proposes a n...
Conventional models for delineating railway station influence areas often fail to account for the anisotropic spatial characteristics of urban environments and the critical role of actual station access points. To address this, this study proposes a new model using a convex hull polygon method that connects station exits to reflect real-world accessibility. The evaluation utilized the Station Influence Area Auxiliary Index (a land-price-based metric) and the spatial distribution density of commercial facilities across various distance intervals. The findings indicate that the proposed polygon-based model reveals substantial differences in the auxiliary index compared to conventional models, particularly at greater distances. Furthermore, an Interrupted Time Series Analysis (ITSA) was conducted to examine land price fluctuations before and after the opening of a new station. The analysis confirmed that the proposed model effectively captures dynamic impacts and changing patterns, identifying significant level changes and long-term trend shifts. This study contributes to the fields of urban planning and real estate by providing a more precise and theoretically robust framework.