In the development of sustainable geo-infrastructure, identifying subsurface sandwiched layers through electrical resistivity (ER) and multichannel analysis of surface waves (MASW) tests play an important role in site investigations, slope stability analyses, and landslide studies. The conventional 1D MASW test provides an averaged 1D shear wave velocity (Vs) profile of subsurface layers, which makes it challenging to detect sandwiched layers due to the Vs averaging. This study uses numerical simulations of 1D ER tests to locate subsurface sandwiched layers, while simultaneously incorporating 1D MASW tests. The simulations employ forward modeling and inversion analysis to identify the subsurface sandwiched layers. The 1D ER test provides the sounding curves to determine the resistivity profiles, whereas the 1D MASW test generates a dispersion curve to estimate the Vs profile of the subsurface medium. Electrodes in the ER simulation were spaced 1.5 m apart, while geophones in the MASW simulation were positioned 1 m apart. In this study, a sandwiched layer at a depth of 2.4 m was modeled for the ER and MASW tests, and their results were compared. The varying depths of different sandwiched layers on the sounding curve enhanced the understanding of the applicability of ER tests. Furthermore, the effect of depth of sandwiched layers was analyzed, and the patterns of sounding curves were compared. The numerically simulated 1D ER and MASW tests revealed a 20% variation in the estimated depths of the sandwiched layers. The simultaneous application of 1D MASW and ER tests allows for faster preliminary subsurface assessments and improves the reliability of subsurface interpretations which will offer valuable insights for real-life applications of these techniques in detecting subsurface sandwiched layers.