This study explores the spatiotemporal characteristics of taxi trips connected to metro stations in the Bangkok Metropolitan Region (BMR), emphasizing their role in enhancing multimodal transport accessibility. The research addresses the first- and last-mile challenge in metro access, particularly in suburban areas with limited infrastructure. Using over 700 million Global Positioning System (GPS) trajectory records collected in 2023, a structured methodology was employed to extract and analyze taxi trips linked to metro station buffer zones. The analysis reveals that urban stations are associated with high taxi demand and shorter average trip distances, while suburban stations exhibit longer taxi trips and peak usage during weekday commuting hours. These findings highlight the differentiated spatial, temporal, and distance-based characteristics of taxi-metro connectivity across station types. The study offers practical insights for transportation planners by identifying how taxi services function as flexible feeder modes that support metro accessibility, especially where fixed-route transit or non-motorized options are insufficient. This research contributes to understanding how taxis operate as adaptable feeder modes across both urban and suburban areas, offering data-driven insights to improve metro accessibility and strengthen multimodal integration.