Catchment Cell Visualization for Multi-Modal Public Transportation Networks.

Mobility is a prerequisite to ensure the access and fair distribution of citizens's basic needs, such as health and social facilities. In this context, assessing the impact of different transit lines and the overall performance of a public transportation network is an important task. Visualizing transit maps is a requirement for diverse fields of application such as spatial decision support systems or tourist navigation. This work focuses on visualizing transit maps for multi-modal public transportation networks with Catchment cells. In contrast to previous attempts, our work proposes an approach to estimate the catchment areas of individual transit lines and stations for multi-modal public transportation networks. The accessibility of different parts of the road network is determined by integrating the timetable information of different public transportation modes on a multi-modal, time-expanded network. Catchment cells are estimated based on location-dependent contractions of road networks segments and visualized by non-overlapping geometries. The resulting maps turn out to be a good means for the assessment of mobility and accessibility.