Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 471-476, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-471-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
08 Jun 2016
COMPARISON OF URBAN HUMAN MOVEMENTS INFERRING FROM MULTI-SOURCE SPATIAL-TEMPORAL DATA
Rui Cao1,2, Wei Tu1,2, Jinzhou Cao3, and Qingquan Li1,2,3 1Shenzhen Key Lab of Spatial Smart Sensing and Service, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China
2Key Lab for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China
3State Key Lab of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, PR China
Keywords: human mobility, smart card data, mobile phone data, space-time GIS, big data Abstract. The quantification of human movements is very hard because of the sparsity of traditional data and the labour intensive of the data collecting process. Recently, much spatial-temporal data give us an opportunity to observe human movement. This research investigates the relationship of city-wide human movements inferring from two types of spatial-temporal data at traffic analysis zone (TAZ) level. The first type of human movement is inferred from long-time smart card transaction data recording the boarding actions. The second type of human movement is extracted from citywide time sequenced mobile phone data with 30 minutes interval. Travel volume, travel distance and travel time are used to measure aggregated human movements in the city. To further examine the relationship between the two types of inferred movements, the linear correlation analysis is conducted on the hourly travel volume. The obtained results show that human movements inferred from smart card data and mobile phone data have a correlation of 0.635. However, there are still some non-ignorable differences in some special areas. This research not only reveals the citywide spatial-temporal human dynamic but also benefits the understanding of the reliability of the inference of human movements with big spatial-temporal data.
Conference paper (PDF, 1082 KB)


Citation: Cao, R., Tu, W., Cao, J., and Li, Q.: COMPARISON OF URBAN HUMAN MOVEMENTS INFERRING FROM MULTI-SOURCE SPATIAL-TEMPORAL DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 471-476, https://doi.org/10.5194/isprs-archives-XLI-B2-471-2016, 2016.

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