leveraging mobile network big data for urban planning
DESCRIPTION
How mobile network big data can be used to understand land usage in Sri LankaTRANSCRIPT
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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