Chapter 42: Workshop Synthesis: Post-Processing of Spatio-Temporal Data

The purpose of the workshop was described as follows: ‘With advances in remote sensors, sensor networks and the proliferation of location sensing devices in daily use and survey practice, the generation of disaggregated, dynamic and geographically distributed spatio-temporal data has exploded in recent years. The rate at which geospatial data are being generated challenges our ability to organise and analyse them to extract patterns critical for understanding in a timely manner dynamically changing travel behaviour patterns. More specifically, efficient and reliable data processing and mining techniques are needed for extracting useful geo-information from large heterogeneous, often multi-modal spatio-temporal datasets. The workshop will concentrate on the broad set of experiences available on methods and routines to capture spatial and temporal characteristics of travel behaviour. Such methods include post-survey prompted-recall interviews as well as statistical, GIS and expert-based systems. Examples of key issues to be discussed include techniques to identify trip characteristics such as destination, modes, stage and types; as well as routines for data cleaning and validation’.