visualizing a city within a city — mapping mobility within a university campus

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Visualizing a City within a City Mapping Mobility Within a University Campus Dirk Ahlers, Kristoffer Gebuhr Aulie, Jeppe Eriksen, and John Krogstie BigDASC 13.10.15

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Page 1: Visualizing a City Within a City — Mapping Mobility Within a University Campus

Visualizing a City within a City –

Mapping Mobility Within a University Campus

Dirk Ahlers, Kristoffer Gebuhr Aulie, Jeppe

Eriksen, and John Krogstie

BigDASC 13.10.15

Page 2: Visualizing a City Within a City — Mapping Mobility Within a University Campus

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Background Work in the context of

Smart Cities Urban Computing Mobility Analysis Smart Mobility Visual Analytics

Campus Analytics

Page 3: Visualizing a City Within a City — Mapping Mobility Within a University Campus

Campus Guide: MazeMap

Common project between Trådløse Trondheim A/S, Information department NTNU, Studieavdelingen, NTNU IT, NTNU Videre and IME NTNU

Cisco WLAN-positioning on Campus and in the City

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Campus as Living Lab

Applications Awareness of building use Learning and improving routes on campus Service locations Bottlenecks Connection to larger mobility Sustainable campus

Self-contained campus is functionally closed But: System Boundaries

Scale up to smart city infrastructures Member of ENoLL – European Network of Living Labs

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Infrastructure Setup

Mobility data with high spatial and temporal resolution

WLAN indoor coverage on campus Passive location sensing, WLAN trilateration Device positions as proxy for people’s

locations Sampling bias and double counting

addressed in future work for improved accuracy

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Data Set 1800 access points over 350000

sqm Tracking based on probe requests Data contains anonymized ID,

timestamp, coordinates, accuracy, derived hierarchy e.g. Gloshaugen > IT-Vest > 1.

etasje, Gloshaugen > Sentralbygg II > 13. etasje

43000 devices per day, 3.2 million positions

Lots of data cleaning necessary

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Stacked movement abstraction

Position Gathering Abstraction and processing layers

Data cleaning/preprocessing Movement Extraction Building-graph extraction

Visualization

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Exploratory analyses:

Heatmap of everything

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Building matrix

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Building trajectories

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Estimates are useful

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Accuracy issues

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Mobility vs Search

[Navigating MazeMap: indoor human mobility, spatio-logical ties and future

potential, IEEE, 2014]

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Conclusion Awareness and

planning support of building use

Real-time availability of rooms and facilities

Connection to larger mobility

Sustainable campus Scaling out

Page 18: Visualizing a City Within a City — Mapping Mobility Within a University Campus

Let’s talk!

Contact

search://Dirk Ahlersgeo: 63°25‘10“N 10°24‘9“E @[email protected]