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Inferring Commuting Routes and Transportation Modes from Call Detail Records
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pires, J. Murça Piedade, Aldina Veloso, Marco Phithakkitnukoon, Santi Zbigniew Smoreda Bento, Carlos |
| Abstract | We can infer mobility patterns from opportunistic data like Call Detail Records. However, considering challenges like low spatial resolution and temporal sparsity of the calls, it is appropriate to subsample and prepare rigorously the dataset. We then propose an optimized methodology to infer commuting patterns like the origin/destination trips and the respective travel modes adopted. We examined the commuting patterns of 1500 users, along fourteen months of communications, in three different Portuguese cities – Lisbon, Porto and Coimbra. Coimbra is a small city where the private car remains the main travel mode choice while the other two cities are larger and have multiple options of travel modes. The results obtained were posteriorly validated by two Portuguese censuses. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.epia2019.utad.pt/images/papers-baai/paper265.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
