Cities are complex environments, which we can navigate in many ways. Multiple ways of navigating a city give rise to permutations of routes, which increase as the city grows and new routes and destinations arise. If we wish to ensure that a person taking any permutation of routes has the same experience, for example seeing a poster or city map, then we need methods to ensure appropriate cover of these routes without over-deploying resources. In a small city, trial and error techniques to solving such problems may suffice, but in large cities, more robust scientific approaches are needed, as the number of possible solutions grows exponentially, thus making exhaustive brute force searches impossible. In the PhD studies, we will exploit new techniques from Graph Theory and Combinatorics to create methods of optimally deploying resources across a city to have maximum effect on those navigating the city. Depending on student’s preferences, the project can be of more theoretical nature, or focusing more on applications.