A　transit　ridership　study　is　an　essential　part　of　sustainability,　and　can　provide　a　deep　understanding　of　people＇s　travel　patterns　for　efficient　transportation　development　and　urbanization.　However,　there　is　a　lack　of　empirical　studies　comparing　subway　and　taxi　services,　and　their　interactions　within　a　city,　that　is　to　say,　the　interdependent　transportation　networks.　Incorporating　new　data,　this　study　aims　to　examine　the　spatial　variation　of　urban　taxi　ridership　due　to　the　impacts　of　a　new　subway　line　operation　opened　in　2014　in　Wuxi,　China.　We　examine　the　spatial　patterns　and　interactions　of　ridership　in　Wuxi　by　integrating　taxi　trajectory　from　GPS　data　and　subway　data　from　continuously　collected　fare　transactions.　The　results　indicated　that　the　demand　for　taxi　and　subway　usage　is　quite　elastic　with　respect　to　both　location　and　time,　and　the　new　subway＇s　opening　had　more　influence　on　areas　adjacent　to　subway　stations　and　urban　center-suburban　travel.　Furthermore,　increases　in　travel　time　and　distance　would　increase　the　demand　for　subway,　while　taxi　trips　largely　represented　movements　for　those　locations　that　the　subway　could　not　reach.　This　paper　betters　the　understanding　of　travel　patterns　through　large　volumes　of　transportation　data　for　sustainable　urbanization　policy　design.