automated land use identification using call detail records
If you can't read please download the document
TRANSCRIPT
Diapositiva 0
Automated Land Use Identification
using Cell-phone Records
June 28, 2011
Vctor Soto & Enrique Fras-Martnez
TELEFNICA I+D
Introduction
01
Telefnica I+D
Goal: Land use of urban areas using Call Details Records.
Study Evolution, Evaluate Urban Zooning
Preliminaries
02
Telefnica I+D
Cell Phone Network
CDR dataset
Our Dataset
1 month of phone call interactions.
1100 Base Transceiver Stations.
Each CDR contains: phoneSource | phoneDestiny | btsSource | btsDestiny | DD/MM/YYYY | hh:mm:ss | d
Phone number are encrypted to anonymize user identities.
Activity Signature
03
Telefnica I+D
Representations
Land Use Identification
04
Telefnica I+D
Methodology (I)
K-means was applied for k={3,4,...,8} for the three representations.
Validity index: maximizes the minimum inter-cluster distance and minimizes the average intra-cluster distance.
DTW also used but did not return good results.
Validation
06
Telefnica I+D
Cluster 1: Industrial & Office
Cluster 2: Business & Commercial
Cluster 3: Nightlife
Cluster 4: Leisure
Cluster 5: Residential
Classification
06
Telefnica I+D
Classification
Cluster representatives can be used as class labels.
Proposed classification scheme: the class label that minimize the euclidean distance between a BTS signature and itself is assigned as the class of the area.
We validate the classification against the city of Barcelona:900 BTS towers.
Extension 100 km2.
Classification: BCN
Conclusions & Future Work
07
Telefnica I+D
Specific uses for City Halls.
Robust Land Use Characterization of Urban Landscapes using Cell Phone DataV. Soto, E. Frias-Martinez
The First Workshop on Pervasive Urban Applications (PURBA), in conjunction with the Ninth International Conference on Pervasive Computing in San Francisco, CA, USA on June 12-15, 2011.
www.enriquefrias-martinez.info/[email protected]
Telefnica I+D