Abstract: The InSAR technology can provide key deformation information for ensuring the safety of cities and their critical traffic infrastructure. However, most relevant studies have focused on individual InSAR techniques. In this study, combining three time-series InSAR techniques, including StaMPS-InSAR, SBAS-InSAR, and DS-InSAR, the deformation characteristics of the Xiongxian area and its major railway and highway infrastructure were extracted from the Sentinel-1 ascending orbit data from December 2020 to December 2022. The results show that the subsidence zones determined by the three techniques were roughly consistent. They were primarily distributed in Daying Town, Zhangliuzhuang Town, Mazhuang Town, and Xinzhuang Village of Bazhou City, with the maximum subsidence rates of -70 mm/a, -72 mm/a, and -67 mm/a, respectively. The DS-InSAR technique significantly outperformed the other two techniques in monitoring the deformation of railways and highways. Along the Bazhou-Xushui Railway, Beijing-Kowloon Railway, Tianjin-Xiong'an Expressway, and Daqing-Guangzhou Expressway within the study area, the number of coherent points obtained using the DS-InSAR technique is 1.62, 4.28, 2.34, and 4.22 times that obtained using the StaMPS-InSAR technique, and 4.27, 5.63, 1.30, and 4.53 times that obtained using the SBAS-InSAR technique, respectively. Overall, this study provides a technical reference for the application of time-series InSAR technology in the deformation monitoring of cities and their traffic routes, as well as the prevention and control of land subsidence in the study area.