Leveraging mobile network big data for urban planning
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Leveraging mobile network big data for urban planning Kaushalya Madhawa, LIRNEasia
Responsible use of mobile meta-‐data to support public purposes Jetwing Lagoon, Negombo
08 August 2014
This work was carried out with the aid of a grant from the InternaHonal Development Research Centre, OMawa, Canada.
Some urban planning challenges
• Understanding ciHzen’s actual use of urban environments
• Monitoring urban evoluHon over Hme • Understanding reasons why people congregate at different locaHons
• Assessing the impact of development acHviHes
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Some urban planning challenges
• Understanding ciHzen’s actual use of urban environments
• Monitoring urban evoluHon over Hme • Understanding reasons why people congregate at different locaHons
• Assessing the impact of development acHviHes
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Can we use mobile network data to understand land use? • People leave digital traces when they use communicaHon devices.
• Mobile communicaHon paMerns at different locaHons can be leveraged to classify them into land-‐use categories.
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User signatures at two different base staHons
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Base station 1 Base station 2
Methodology
• Diurnal paMern of users is profiled at different base staHons during weekdays and weekends
• Time series of each base staHon is normalized to a (0-‐1) range
• Euclidean distance between two Hme series is used to cluster base staHons in an unsupervised manner using k-‐means algorithm
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DistribuHon of base staHons in Colombo district
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A closer look at base staHons in each cluster
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Cluster 1 Cluster 2
What does this reveal?
• Cluster 1 exhibits paMerns consistent with a commercial area
• Cluster 2 exhibits paMerns
consistent with less commercial and more residenHal area (or possibly mixed)
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The Central Business District (CBD) seems to have expanded
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North Colombo is Colombo’s inner city
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Photo: ©Senanayake Bandara - Panoramio
Seethawaka Export Processing Zone (EPZ)
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Seethawaka EPZ Photo ©Senanayaka Bandara - Panoramio
Future work
• InvesHgate more fine grained land use categorizaHon
• Use this methodology to monitor the evoluHon of urbanizaHon of a region
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