UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics

Alessandretti, 2017, Multi-scale spatio-temporal analysis of human mobility, PLoS One, 12, 10.1371/journal.pone.0171686 Arnold, 2019, DAG-Informed regression modelling, agent-based modelling and microsimulation modelling: A critical comparison of methods for causal inference, International Journal of Epidemiology, 48, 243, 10.1093/ije/dyy260 Aziz, 2018, A high resolution agent-based model to support walk-bicycle infrastructure investment decisions: A case study with New York city, Transportation Research Part C: Emerging Technologies, 86, 280, 10.1016/j.trc.2017.11.008 Ballas, 2005, SimBritain: A spatial microsimulation approach to population dynamics, Population, Space and Place, 11, 13, 10.1002/psp.351 Barrett, 2008, EpiSimDemics: An efficient algorithm for simulating the spread of infectious disease over large realistic social networks, 1 Barthélemy, 2018, mipfp: An r package for multidimensional array fitting and simulating multivariate Bernoulli distributions, Journal of Statistical Software, 86, 10 Battaglia, 2004, Vol. 1, 4740 Beckman, 1996, Creating synthetic baseline populations, Transportation Research Part A: Policy and Practice, 30, 415 Beiró, 2016, Predicting human mobility through the assimilation of social media traces into mobility models, EPJ Data Science, 5, 1, 10.1140/epjds/s13688-016-0092-2 Bhaduri, 2007, Landscan USA: A high-resolution geospatial and temporal modeling approach for population distribution and dynamics, Geojournal, 69, 103, 10.1007/s10708-007-9105-9 Birkin, 1988, SYNTHESIS—a synthetic spatial information system for urban and regional analysis: Methods and examples, Environment & Planning A, 20, 1645, 10.1068/a201645 Birkin, 1989, The generation of individual and household incomes at the small area level using synthesis, Regional Studies, 23, 535, 10.1080/00343408912331345702 Birkin, 2011, Spatial microsimulation models: A review and a glimpse into the future, Population Dynamics and Projection Methods, 193, 10.1007/978-90-481-8930-4_9 Boeing, 2017, Osmnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks, Computers, Environment and Urban Systems, 65, 126, 10.1016/j.compenvurbsys.2017.05.004 Boman, 2004, Multi-agent systems, time geography, and microsimulations, 95 Bourguignon, 2006, Microsimulation as a tool for evaluating redistribution policies, The Journal of Economic Inequality, 4, 77, 10.1007/s10888-005-9012-6 Candia, 2008, Uncovering individual and collective human dynamics from mobile phone records, Journal of Physics A: Mathematical and Theoretical, 41, 10.1088/1751-8113/41/22/224015 Cooley, 2008, Using influenza-like illness data to reconstruct an influenza outbreak, Mathematical and Computer Modelling, 48, 929, 10.1016/j.mcm.2007.11.016 Denton, 2014, Climate-resilient pathways: Adaptation, mitigation, and sustainable development, Climate Change, 1101 Dijst, 2013, Space–time integration in a dynamic urbanizing world: Current status and future prospects in geography and GIScience: Space–time integration in geography and GIScience, Annals of the Association of American Geographers, 103, 1058, 10.1080/00045608.2013.792171 Doorn, 2017, Resilience indicators: Opportunities for including distributive justice concerns in disaster management, Journal of Risk Research, 20, 711, 10.1080/13669877.2015.1100662 Foti, 2012, A generalized computational framework for accessibility: From the pedestrian to the metropolitan scale Germann, 2007 Gollini, 2015, Gwmodel: An R package for exploring spatial heterogeneity using geographically weighted models, Journal of Statistical Software, 63, 1, 10.18637/jss.v063.i17 Graetz, 2022, Small-area analyses using public American community survey data: A tree-based spatial microsimulation technique, Sociological Methodology, 52, 53, 10.1177/00811750211057572 Hägerstrand, 1970, What about people in regional science?, Papers - Regional Science Association, 24, 6, 10.1007/BF01936872 Hägerstrand, 1968, Innovation diffusion as a spatial process, Technology and Culture, 10, 480 Harland, 2012, Creating realistic synthetic populations at varying spatial scales: A comparative critique of population synthesis techniques, The Journal of Artificial Societies and Social Simulation, 15, 10.18564/jasss.1909 Hofferth, 2016 Kahl, 2022, Coupling vulnerability metrics to assess the impacts of large-scale winter storms Kolenikov, 2014, Calibrating survey data using iterative proportional fitting (raking), STATA Journal, 14, 22, 10.1177/1536867X1401400104 Kwan, 2013, Beyond space (as we knew it): Toward temporally integrated geographies of segregation, health, and accessibility: Space–time integration in geography and GIScience, Annals of the Association of American Geographers, 103, 1078, 10.1080/00045608.2013.792177 Kwan, 2018, The limits of the neighborhood effect: Contextual uncertainties in geographic, environ- mental health, and social science research, Annals of the Association of American Geographers, 108, 1482, 10.1080/24694452.2018.1453777 Leyk, 2013, Maximum entropy dasymetric modeling for demographic small area estimation, Geographical Analysis, 45, 285, 10.1111/gean.12011 Longini, 2005, Containing pandemic influenza at the source, Science, 309, 1083, 10.1126/science.1115717 Lovelace, 2013, ‘Truncate, replicate, sample’: A method for creating integer weights for spatial microsimulation, Computers, Environment and Urban Systems, 41, 1, 10.1016/j.compenvurbsys.2013.03.004 Lovelace, 2015, Evaluating the performance of iterative proportional fitting for spatial microsimulation: New tests for an established technique, The Journal of Artificial Societies and Social Simulation, 18, 10.18564/jasss.2768 Lovelace, 2016 Luke, 2012, Systems science methods in public health: Dynamics, networks, and agents, Annual Review of Public Health, 33, 357, 10.1146/annurev-publhealth-031210-101222 Macal, 2018, ChiSim: An agent-based simulation model of social interactions in a large urban area, 810 Macal, 2009, Agent-based modeling and simulation, 86 Matthews, 2013, Spatial polygamy and contextual exposures (spaces) promoting activity space approaches in research on place and health, American Behavioral Scientist, 57, 1057, 10.1177/0002764213487345 Meerow, 2019, Social equity in urban resilience planning, Local Environment, 24, 793, 10.1080/13549839.2019.1645103 Merz, 1991, Microsimulation—a survey of principles, developments and applications, International Journal of Forecasting, 7, 77, 10.1016/0169-2070(91)90035-T Miller, 2017, Time geography and space–time prism Morton, 2017, A hybrid dasymetric and machine learning approach to high-resolution residential electricity consumption modeling, 47 Morton, 2017 Nagenborg, 2019, Urban resilience and distributive justice, Sustainable and Resilient Infrastructure, 4, 103, 10.1080/23789689.2019.1607658 Nagle, 2014, Dasymetric modeling and uncertainty, Annals of the Association of American Geographers, 104, 80, 10.1080/00045608.2013.843439 O'Donoghue, 2014 Orcutt, 1961, Microanalysis of socioeconomic systems, Journal of the Institute of Actuaries, 91, 102 Patlolla, 2004, Agent-based simulation tools in computational epidemiology, 212 Recker, 1995, The household activity pattern problem: General formulation and solution, Transportation Research Part B: Methodological, 29, 61, 10.1016/0191-2615(94)00023-S Rose, 2017, Validation of spatiodemographic estimates produced through data fusion of small area census records and household microdata, Computers, Environment and Urban Systems, 63, 38, 10.1016/j.compenvurbsys.2016.07.006 Ruggles, 2014, Big microdata for population research, Demography, 51, 287, 10.1007/s13524-013-0240-2 Singh, 2022 Sörlin, 2020, Hägerstrand as historian: Innovation, diffusion and the processual landscape, Landscape Research, 45, 712, 10.1080/01426397.2020.1790506 Sparks, 2020, A global analysis of cities' geosocial temporal signatures for points of interest hours of operation, International Journal of Geographical Information Science, 34, 759, 10.1080/13658816.2019.1615069 Spielman, 2014, Patterns and causes of uncertainty in the American community survey, Applied Geography, 46, 147, 10.1016/j.apgeog.2013.11.002 Stewart, 2015 Stewart, 2016, A bayesian machine learning model for estimating building occupancy from open source data, Natural Hazards, 81, 1929, 10.1007/s11069-016-2164-9 Tanton, 2014, A review of spatial microsimulation methods, International Journal of Microsimulation, 7, 4, 10.34196/ijm.00092 Templ, 2017, Simulation of synthetic complex data: The R package simPop, Journal of Statistical Software, 79, 1, 10.18637/jss.v079.i10 2021 Thakur, 2015, PlanetSense: A real-time streaming and spatio-temporal analytics platform for gathering geo-spatial intelligence from open source data, 1 Thomson, 2018, Linking synthetic populations to household geolocations: A demonstration in Namibia, Data, 3, 30, 10.3390/data3030030 Thomson, 2022 Tuccillo, 2022, A multiscalar index of social vulnerability for the United States Tuccillo, 2022, Likeness: A toolkit for connecting the social fabric of place to human dynamics, 125, 10.25080/majora-212e5952-014 Tuccillo, 2022, A method for measuring coupled individual and social vulnerability to environmental hazards, Annals of the Association of American Geographers, 112, 1702, 10.1080/24694452.2021.1989283 United Nations, 2021 United States Census Bureau, 2021 United States Geological Survey, 2022 Van Imhoff, 1998, 97 Wheaton, 2009, 905 Wilson, 1976, A new representation of the urban system for modelling and for the study of micro-level interdependence, Area, 8, 246