Methods for inferring route choice of commuting trip from mobile phone network data
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. For billing purposes, telecom operators collect communication logs of our mobile phone usage activities. These communication logs or so called CDR has emerged as a valuable data source for human behavioral studies. This work builds on the tra...
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th-cmuir.6653943832-704922020-10-14T08:31:53Z Methods for inferring route choice of commuting trip from mobile phone network data Pitchaya Sakamanee Santi Phithakkitnukoon Zbigniew Smoreda Carlo Ratti Earth and Planetary Sciences © 2020 by the authors. Licensee MDPI, Basel, Switzerland. For billing purposes, telecom operators collect communication logs of our mobile phone usage activities. These communication logs or so called CDR has emerged as a valuable data source for human behavioral studies. This work builds on the transportation modeling literature by introducing a new approach of crowdsource-based route choice behavior data collection. We make use of CDR data to infer individual route choice for commuting trips. Based on one calendar year of CDR data collected from mobile users in Portugal, we proposed and examined methods for inferring the route choice. Our main methods are based on interpolation of route waypoints, shortest distance between a route choice and mobile usage locations, and Voronoi cells that assign a route choice into coverage zones. In addition, we further examined these methods coupled with a noise filtering using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and commuting radius. We believe that our proposed methods and their results are useful for transportation modeling as it provides a new, feasible, and inexpensive way for gathering route choice data, compared to costly and time-consuming traditional travel surveys. It also adds to the literature where a route choice inference based on CDR data at this detailed level-i.e., street level- has rarely been explored. 2020-10-14T08:31:53Z 2020-10-14T08:31:53Z 2020-05-01 Journal 22209964 2-s2.0-85084500305 10.3390/ijgi9050306 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084500305&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70492 |
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Earth and Planetary Sciences Pitchaya Sakamanee Santi Phithakkitnukoon Zbigniew Smoreda Carlo Ratti Methods for inferring route choice of commuting trip from mobile phone network data |
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. For billing purposes, telecom operators collect communication logs of our mobile phone usage activities. These communication logs or so called CDR has emerged as a valuable data source for human behavioral studies. This work builds on the transportation modeling literature by introducing a new approach of crowdsource-based route choice behavior data collection. We make use of CDR data to infer individual route choice for commuting trips. Based on one calendar year of CDR data collected from mobile users in Portugal, we proposed and examined methods for inferring the route choice. Our main methods are based on interpolation of route waypoints, shortest distance between a route choice and mobile usage locations, and Voronoi cells that assign a route choice into coverage zones. In addition, we further examined these methods coupled with a noise filtering using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and commuting radius. We believe that our proposed methods and their results are useful for transportation modeling as it provides a new, feasible, and inexpensive way for gathering route choice data, compared to costly and time-consuming traditional travel surveys. It also adds to the literature where a route choice inference based on CDR data at this detailed level-i.e., street level- has rarely been explored. |
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Journal |
author |
Pitchaya Sakamanee Santi Phithakkitnukoon Zbigniew Smoreda Carlo Ratti |
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Pitchaya Sakamanee Santi Phithakkitnukoon Zbigniew Smoreda Carlo Ratti |
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Pitchaya Sakamanee |
title |
Methods for inferring route choice of commuting trip from mobile phone network data |
title_short |
Methods for inferring route choice of commuting trip from mobile phone network data |
title_full |
Methods for inferring route choice of commuting trip from mobile phone network data |
title_fullStr |
Methods for inferring route choice of commuting trip from mobile phone network data |
title_full_unstemmed |
Methods for inferring route choice of commuting trip from mobile phone network data |
title_sort |
methods for inferring route choice of commuting trip from mobile phone network data |
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2020 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084500305&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70492 |
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