Population Synthesis Handling Three Geographical Resolutions
AbstractIn this paper, we develop a synthetic population as the first step in implementing an integrated land use/transport model. The model is agent-based, where every household, person, dwelling, and job is treated as an individual object. Therefore, detailed socioeconomic and demographic attributes are required to support the model. The Iterative Proportional Updating (IPU) procedure is selected for the optimization phase. The original IPU algorithm has been improved to handle three geographical resolutions simultaneously with very little computational time. For the allocation phase, we use Monte Carlo sampling. We applied our approach to the greater Munich metropolitan area. Based on the available data in the control totals and microdata, we selected 47 attributes at the municipality level, 13 attributes at the county level, and 14 additional attributes at the borough level for the city of Munich. Attributes are aggregated at the household, dwelling, and person level. The algorithm is able to synthesize 4.5 million persons in 2.1 million households in less than 1.5 h. Directions regarding how to handle multiple geographical resolutions and how to balance the amount and order of attributes to avoid overfitting are presented. View Full-Text
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Moreno, A.T.; Moeckel, R. Population Synthesis Handling Three Geographical Resolutions. ISPRS Int. J. Geo-Inf. 2018, 7, 174.
Moreno AT, Moeckel R. Population Synthesis Handling Three Geographical Resolutions. ISPRS International Journal of Geo-Information. 2018; 7(5):174.Chicago/Turabian Style
Moreno, Ana T.; Moeckel, Rolf. 2018. "Population Synthesis Handling Three Geographical Resolutions." ISPRS Int. J. Geo-Inf. 7, no. 5: 174.
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