The rawdata.csv profile indicates the traffic analysis based mobility patterns. we extract human trips from Call Records Detail data. Combining traffic analysis zone dataset, we map each trip record to the zones with the same origin zones and destination zones. After  this, we can obtain this dataset. This dataset stores the hourly number of departure and arrival trips in each traffic analysis zone.

The POI-importance.csv profile indicates the term frequency-inverse doument frequency(TF-IDF) of each category of poi the in each traffic analysis zone.

Dataset Files

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[1] zheng zhang, "Traffic analysis zone-based mobility patterns", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/a8hb-2n59. Accessed: Jun. 14, 2024.
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doi = {10.21227/a8hb-2n59},
url = {http://dx.doi.org/10.21227/a8hb-2n59},
author = {zheng zhang },
publisher = {IEEE Dataport},
title = {Traffic analysis zone-based mobility patterns},
year = {2019} }
TY - DATA
T1 - Traffic analysis zone-based mobility patterns
AU - zheng zhang
PY - 2019
PB - IEEE Dataport
UR - 10.21227/a8hb-2n59
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zheng zhang. (2019). Traffic analysis zone-based mobility patterns. IEEE Dataport. http://dx.doi.org/10.21227/a8hb-2n59
zheng zhang, 2019. Traffic analysis zone-based mobility patterns. Available at: http://dx.doi.org/10.21227/a8hb-2n59.
zheng zhang. (2019). "Traffic analysis zone-based mobility patterns." Web.
1. zheng zhang. Traffic analysis zone-based mobility patterns [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/a8hb-2n59
zheng zhang. "Traffic analysis zone-based mobility patterns." doi: 10.21227/a8hb-2n59