IMCD project – Integrated Multimedia City Data project
Sensor Project lead: Katarzyna Sila-Nowicka
This is a primary data collection effort in Glasgow involving the administration of several survey instruments to a statistically representative sample of respondents: (i) an Attitude, Beliefs and Lifestyle Survey; (ii) a time use and travel diary survey; (iii) a stated preference survey; (iv) an education, literacy and comprehension survey; and (iv) a GPS and lifelogging survey.
More details can be found here.
Human mobility patterns from GPS trajectories and contextual information
Human mobility is important for understanding the evolution of size and structure of urban areas, the spatial distribution of facilities, and the provision of transportation services. Until recently, exploring human mobility in detail was challenging because data collection methods consisted of cumbersome manual travel surveys, space-time diaries, or interviews. The development of location-aware sensors has significantly altered the possibilities for acquiring detailed data on human movements. Although this has spurred many methodological developments in identifying human movement patterns, many of these methods operate solely from the analytical perspective and ignore the environmental context within which the movement takes place. In this paper we attempt to widen this view and present an integrated approach to the analysis of human mobility using a combination of volunteered GPS trajectories and contextual spatial information. We propose a new framework for the identification of dynamic (travel modes) and static (significant places) behaviour using trajectory segmentation, data mining, and spatio-temporal analysis. We are interested in examining if and how travel modes depend on the residential location, age, or gender of the tracked individuals. Further, we explore theorised ‘third places’, which are spaces beyond main locations (home/work) where individuals spend time to socialise. Can these places be identified from GPS traces? We evaluate our framework using a collection of trajectories from 205 volunteers linked to contextual spatial information on the types of places visited and the transport routes they use. The result of this study is a contextually enriched data set that supports new possibilities for modelling human movement behaviour.
The link to the paper can be found here.
Enhancing Volunteered Geographical Information (VGI)Project Lead: Katarzyna Sila-Nowicka
Collecting, representing, and understanding human mobility patterns is becoming increasingly important for research, public policy, and private sector businesses. As we continue to generate mass amounts of spatially referenced data at increasingly fine temporal and spatial resolutions, an explicit focus on GPS traces, personal paths, human mobility-based behaviour, spatial interaction, and the various global/local scales of these data is essential. The main aim of this research will be modelling the determinants of spatial interaction based on GPS data. Additionally this research will be used to explore ways of adding value to GPS traces in terms of inferring various trip-making behaviours via spatial and analytical methods. This work is part of GEOCROWD’s Initial Training Network, under FP7 – People – Marie Curie Actions by the European Commission: “Creating a Geospatial Knowledge World”. The specific contributions of this project to the larger program will include transforming VGI data into meaningful chunks of information obtained with simplicity and speed, comparable to that of Web-based search.