Computational urban transport performance monitoring - visualisation of high-volume, longitudinal transport sensor data with rapid 3D web graphics libraries
WebGL,public transportation,transport performance,visualization,planning support systems,open data,visual analytics
This paper investigates whether the use of rapid, 3D web visualisation libraries brings added value to the analysis of big public transport per-formance data to support longer-term planning and citizen engagement initiatives. The research presents a novel approach to displaying such data through a generalisable WebGL based visualisation system. This method can recall a year’s worth of public transport performance data at a highly granular level in a fast, interactive browser environment.
The city of Sydney, Australia forms a case study to highlight poten-tial uses of the visualisation of such large, passively-collected data sets. Such systems can potentially add data-driven rigour to service planning and longer-term transport decision-making. Furthermore, they enable the sharing of quality of service statistics with various stakeholders and citizens and can showcase improvements in services before and after policy decisions. The paper concludes by making recommendations onto the value of this approach in supplementing existing web-based Planning Support Systems (PSS) used in transport planning practice.