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Author (up) Fabio Ciravegna; Jerry Gao; Chris Ingram; Neil Ireson; Vita Lanfranchi; Humasak Simanjuntak
Title Mapping Mobility to Support Crisis Management Type Conference Article
Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018
Volume Issue Pages 305-316
Keywords GIS, mapping, mobility tracking, large scale data, visual analytics.
Abstract In this paper we describe a method and an infrastructure for rapid mapping of mobility patterns, based on a combination of a mobile mobility tracker, a large-scale data collection infrastructure, and a data and visual analytics tool. The combination of the three enables mapping everyday mobility patterns for decision makers, e.g. city council, motorways authorities, etc. and can support emergency responders in improving their preparedness and the recovery in the aftermath of a crisis. The technology is currently employed over very large scale: (i) in England it is used by a public body to incentivise physical mobility (400,000 app downloads and hundreds of millions of data point since September 2017); (ii) in Sheffield UK, through the MoveMore initiative, tracking active mobility of users (5,000 downloads); and (iii) the European project SETA, to track multimodal mobility patterns in three cities (Birmingham, Santander and Turin).
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2109
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Author (up) Humasak Simanjuntak; Fabio Ciravegna
Title Semantic Understanding of Human Mobility Lifestyle to support Crisis Management Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords lifestyle patterns, mobility patterns, semantic annotations, semantic mobility
Abstract In this paper, we propose a method for understanding the semantics of mobility (mainly related to lifestyle)

patterns based on stay point detection from tracking data. The method identifies the context (trip purpose and

visited point of interest) of tracking data by using large-scale data collection infrastructure. We evaluate our

method with a tracking dataset in Birmingham (European project SETA) generated by 534 users from

September 2017 to September 2018. To this end, we compare insights from the tracking data with check-in

mobility in social media. The results show that both data capture rich human lifestyle features related to the

visited point of interest. Our study provides solid evidence that lifestyle patterns from tracking and social media

data can indeed be useful for understanding and gauging the level of disruption after a crisis, as it is possible to

check the deviation of habits from normal conditions and post-crisis.
Address The University of Sheffield, United Kingdom
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1874
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