Urban environments continue to expand and mutate, both in terms of size of urban area and number of people commuting daily as well as the number of options for personal mobility. City layouts and infrastructure also change constantly, subject to both short-and long-term imperatives. Transportation networks have attracted particular attention in recent years, due to efforts to incorporate ‘green’ options, enabling positive lifestyle choices such as walking or cycling commutes. In this chapter we explore the pedestrian viewpoint, aids to familiarity with and ease of navigation in the urban environment, and the impact of novel modes of individual transport (as options such as smart urban bicycles and electric scooters increasingly become the norm). We discuss principal factors influencing rapid transit to daily and leisure destinations, such as schools, offices, parks and entertainment venues, but also those which facilitate rapid evacuation and movement of large crowds from these locations, characterised by high occupation density or throughput. The focus of the chapter is on understanding and representing pedestrian behaviour through the Agent-Based Modelling paradigm, allowing both large numbers of individual actions with active awareness of the environment to be simulated and pedestrian group movements to be modelled on real urban networks, together with congestion and evacuation pattern visualisation.