Dynamic, interactive and visual analysis of population distribution and mobility dynamics in an urban environment using the mobility explorer framework

Peters-Anders, Jan; Khan, Zaheer; Loibl, Wolfgang; Augustin, Helmut; Breinbauer, Arno

Abstract

© 2017 by the authors. 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.

• Journal Article Type: Article
• Acceptance Date: Apr 25, 2017
• Publication Date: Jan 1, 2017
• Deposit Date: Apr 25, 2017
• Publicly Available Date: Apr 25, 2017
• Journal: Information (Switzerland)
• Electronic ISSN: 2078-2489
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 2
• Pages: 56
• DOI: https://doi.org/10.3390/info8020056
• Keywords: smart city, cell phone data records, population distribution, mobility dynamics
• Public URL: https://uwe-repository.worktribe.com/output/887770
• Publisher URL: http://www.mdpi.com/journal/information
• Contract Date: Apr 25, 2017