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Information 2017, 8(2), 56; doi:10.3390/info8020056

Dynamic, Interactive and Visual Analysis of Population Distribution and Mobility Dynamics in an Urban Environment Using the Mobility Explorer Framework

1
Austrian Institute of Technology, Center for Energy, Sustainable Buildings and Cities Unit, 1210 Vienna, Austria
2
University of the West of England, Department of Computer Science and Creative Technologies, BS16 1QY Bristol, UK
3
City of Vienna, Municipal Department for Urban Development and Planning (MA 18), 1082 Vienna, Austria
*
Author to whom correspondence should be addressed.
Academic Editor: Willy Susilo
Received: 28 February 2017 / Revised: 20 April 2017 / Accepted: 25 April 2017 / Published: 15 May 2017
(This article belongs to the Special Issue Smart City Technologies, Systems and Applications)
View Full-Text   |   Download PDF [6795 KB, uploaded 15 May 2017]   |  

Abstract

This paper investigates the extent to which a mobile data source can be utilised to generate new information intelligence for decision-making in smart city planning processes. In this regard, the Mobility Explorer framework is introduced and applied to the City of Vienna (Austria) by using anonymised mobile phone data from a mobile phone service provider. This framework identifies five necessary elements that are needed to develop complex planning applications. As part of the investigation and experiments a new dynamic software tool, called Mobility Explorer, has been designed and developed based on the requirements of the planning department of the City of Vienna. As a result, the Mobility Explorer enables city stakeholders to interactively visualise the dynamic diurnal population distribution, mobility patterns and various other complex outputs for planning needs. Based on the experiences during the development phase, this paper discusses mobile data issues, presents the visual interface, performs various user-defined analyses, demonstrates the application’s usefulness and critically reflects on the evaluation results of the citizens’ motion exploration that reveal the great potential of mobile phone data in smart city planning but also depict its limitations. These experiences and lessons learned from the Mobility Explorer application development provide useful insights for other cities and planners who want to make informed decisions using mobile phone data in their city planning processes through dynamic visualisation of Call Data Record (CDR) data. View Full-Text
Keywords: smart city; cell phone data records; population distribution; mobility dynamics smart city; cell phone data records; population distribution; mobility dynamics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Peters-Anders, J.; Khan, Z.; Loibl, W.; Augustin, H.; Breinbauer, A. Dynamic, Interactive and Visual Analysis of Population Distribution and Mobility Dynamics in an Urban Environment Using the Mobility Explorer Framework. Information 2017, 8, 56.

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