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Creating spatially-detailed heterogeneous synthetic populations for agent-based microsimulation., , , и . Comput. Environ. Urban Syst., (2022)Impacts of Automated Mobility on Demand on Long-term Mobility Choices: a Case Study of Singapore., , , и . ITSC, стр. 1908-1913. IEEE, (2019)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example, , , , и . Transportation research part C: emerging technologies, (2013)Challenges for social flows., , и . Comput. Environ. Urban Syst., (2018)Activity-based human mobility patterns inferred from mobile phone data: A case study of Singapore, , и . IEEE Transactions on Big Data, (2016)The Long-Term Effects of Merit-Rating Plans on Individual Motorists.. Operations Research, 22 (5): 954-978 (1974)Mining point-of-interest data from social networks for urban land use classification and disaggregation., , , , и . Comput. Environ. Urban Syst., (2015)A review of urban computing for mobile phone traces: current methods, challenges and opportunities, , , , , и . International Workshop on Urban Computing, стр. 1--9. ACM, (2013)MIT's Computer Resource Lab: A research and educational facility for GIS in urban planning., и . Int. J. Geogr. Inf. Sci., 6 (4): 299-307 (1992)Estimating the Vehicle-Miles-Traveled Implications of Alternative Metropolitan Growth Scenarios: A Boston Example., , и . Trans. GIS, 17 (5): 645-660 (2013)