Keywords: transport demand; daily mobility patterns; visualization; R; Shiny
Human mobility reflects how, when, where and why people move from one location to another. Transport demand models can provide answers to these questions. Such models usually require a large amount of data as input and provide detailed information about the trips made by each individual during a day. Exploring this data can become very complex. Usually, several types of aggregation and disaggregation are performed on a spatial, temporal or demographic level. Often a variety of tools is used for analyzing, communicating and validating the data. This paper introduces an interactive and scalable web application for analyzing, communicating and validating the data of a transport model. The presented approach could also be used within a different research domain. Therefore, recommendations and implementation notes are given on how such an application can be realized in R. A special focus is set on the representation of daily mobility patterns within this application.