Abstract
Individuals together with their locations & attributes are essential to feed micro-level applied urban models (for example, spatial micro-simulation and agent-based modeling) for policy evaluation. Existing studies on population spatialization and population synthesis are generally separated. In developing countries like China, population distribution on a fine scale, as the input for population synthesis, is not universally available. With the open-government initiatives in China and the emerging Web 2.0 techniques, more and more open data are becoming achievable. In this chapter, we propose an automatic process using open data for population spatialization and synthesis. Specifically, the road network in OpenStreetMap is used to identify and delineate parcel geometries, while crowd-sourced points of interest (POIs) are gathered to infer urban parcels with a vector cellular automata model. Housing-related online check-in records are then applied to distinguish residential parcels from all of the identified urban parcels. Finally the published census data, in which the sub-district level of attributes distribution and relationships among attributes are available, is used for synthesizing population attributes with a previously developed tool Agenter (Long and Shen 2013). The results are validated with ground truth manually-prepared dataset by planners from Beijing Institute of City Planning.
Keywords
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- 1.
The spatial distribution of census tracts has never been released by the Beijing Municipal Statistical Bureau. Therefore, it is not possible to determine whether census tracts are compatible with TAZs.
- 2.
Residential POIs within the buffered road space were accounted by their closest parcels in our experiment.
- 3.
The unit is the POI count per km2. For parcels with no residential POIs, we assume a minimum density of 1 POI per km2.
- 4.
Parcels by ORDNANCE in Beijing were similar with those by planners in BICP in terms of parcel size.
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We thank Ms Liqun Chen for her proofreading.
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Long, Y., Shen, Z. (2015). Population Spatialization and Synthesis with Open Data. In: Geospatial Analysis to Support Urban Planning in Beijing. GeoJournal Library, vol 116. Springer, Cham. https://doi.org/10.1007/978-3-319-19342-7_6
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DOI: https://doi.org/10.1007/978-3-319-19342-7_6
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