Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B2, 101-106, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B2-101-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
27 Jul 2012
DIGITAL ARCHIVING OF PEOPLE FLOW BY RECYCLING LARGE-SCALE SOCIAL SURVEY DATA OF DEVELOPING CITIES
Y. Sekimoto1, A. Watanabe1, T. Nakamura1, and T. Horanont2 1Center for Spatial Information Science, the University of Tokyo, Japan
2Institute of Industrial Science, the University of Tokyo, Japan
Keywords: Reconstruction of people flow, Social survey data, Large-scale spatio-temporal analysis Abstract. Data on people flow has become increasingly important in the field of business, including the areas of marketing and public services. Although mobile phones enable a person's position to be located to a certain degree, it is a challenge to acquire sufficient data from people with mobile phones. In order to grasp people flow in its entirety, it is important to establish a practical method of reconstructing people flow from various kinds of existing fragmentary spatio-temporal data such as social survey data. For example, despite typical Person Trip Survey Data collected by the public sector showing the fragmentary spatio-temporal positions accessed, the data are attractive given the sufficiently large sample size to estimate the entire flow of people. In this study, we apply our proposed basic method to Japan International Cooperation Agency (JICA) PT data pertaining to developing cities around the world, and we propose some correction methods to resolve the difficulties in applying it to many cities and stably to infrastructure data.
Conference paper (PDF, 2101 KB)


Citation: Sekimoto, Y., Watanabe, A., Nakamura, T., and Horanont, T.: DIGITAL ARCHIVING OF PEOPLE FLOW BY RECYCLING LARGE-SCALE SOCIAL SURVEY DATA OF DEVELOPING CITIES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B2, 101-106, https://doi.org/10.5194/isprsarchives-XXXIX-B2-101-2012, 2012.

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