ABSTRACT
Planning and deciding on a proposed tunnel alignment in an urban environment presents many challenges involving expertise from different disciplines. The cost of station construction, tunnel, shoring, and impact on existing structures, potential ridership, ideally all need to be considered in initial planning phases by authorities but resource and technological limitations made such a complete approach almost impossible. Continuing advancements in accessible computing power allow engineers to access and utilize large scale data in decision making. This article presents how large-scale urban data can be incorporated with rapid geostructural and transportation modeling in driving better planning decisions for urban subways.
