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Modeling micro-movement variability in mobility studies

 
: Hecker, D.; Körner, C.; Stange, H.; Schulz, D.; May, M.

:
Postprint urn:nbn:de:0011-n-1592730 (607 KByte PDF)
MD5 Fingerprint: e914e288844a2884dc6e0f59436ae7c3
The original publication is available at springerlink.com
Created on: 27.4.2011


Geertman, S.:
Advancing Geoinformation Science for a Changing World : The book comprises innovative research presented at the 14th Conference of the Association of Geographic Information Laboratories in Europe (AGILE), held in 2011 in Utrecht, The Netherlands
Berlin: Springer, 2011 (Lecture notes in geoinformation and cartography 1)
ISBN: 978-3-642-19788-8
ISBN: 3-642-19788-4
ISBN: 978-3-642-19789-5
pp.121-140
International Conference on Geographic Information Science (AGILE) <14, 2011, Utrecht>
English
Conference Paper, Electronic Publication
Fraunhofer IAIS ()
trajectory analysis; movement variability; mobility unit system; aggregation; disaggregtion; frequency atlas; simulation; GPS

Abstract
During the past years the interest in the exploitation of mobility information has increased significantly. Along with these interests, new demands on mobility data sets have been posed. One particular demand is the evaluation of movement data on a high level of spatial detail. The high dimensionality of geographic space, however, makes this requirement hard to fulfill. Even large mobility studies cannot guarantee to comprise all movement variation on a high level of detail. In this paper we present an approach to increase the variability of movement data on microscopic scale in order to achieve a better representation of population movement. Our approach consists of two steps. First, we perform a spatial aggregation of trajectory data in order to counteract sparseness and to preserve movement on macroscopic scale. Second, we disaggregate the data in geographic space based on traffic distribution knowledge using repeated simulation. Our approach is applied in a real-world business application for the Ger-man outdoor advertising industry to measure the performance of poster sites.

: http://publica.fraunhofer.de/documents/N-159273.html