Dymium: A modular microsimulation modelling framework for integrated urban modelling

作者: Amarin Siripanich , Taha Hossein Rashidi

DOI: 10.1016/J.SOFTX.2020.100555

关键词:

摘要: Abstract Dymium is a microsimulation framework written in R for integrated urban modelling. It aims to solve technical challenges faced by modellers and make the approach more accessible broad range of users. With numerous packages that are available free R, including Dymium, all stages – data preparation, microsimulation, calibration, model validation building can be done effectively under one programming environment. Although we developed modelling systems, i.e., demography, firmography transport modelling, it has necessary functionalities readily adopted other contexts.

参考文章(28)
Konstadinos G Goulias, Ryuichi Kitamura, TRAVEL DEMAND FORECASTING WITH DYNAMIC MICROSIMULATION Transportation Research Record. ,(1992)
Douglass B. Lee, Requiem for Large-Scale Models Journal of The American Planning Association. ,vol. 39, pp. 163- 178 ,(1973) , 10.1080/01944367308977851
Paul Waddell, UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning Journal of The American Planning Association. ,vol. 68, pp. 297- 314 ,(2002) , 10.1080/01944360208976274
D. Ballas, G. Clarke, GIS and microsimulation for local labour market analysis Computers, Environment and Urban Systems. ,vol. 24, pp. 305- 330 ,(2000) , 10.1016/S0198-9715(99)00051-4
Martina Morris, Mirjam Kretzschmar, A microsimulation study of the effect of concurrent partnerships on the spread of HIV in Uganda Mathematical Population Studies. ,vol. 8, pp. 109- 133 ,(2000) , 10.1080/08898480009525478
Franco Chingcuanco, Eric J. Miller, A microsimulation model of urban energy use: Modelling residential space heating demand in ILUTE Computers, Environment and Urban Systems. ,vol. 36, pp. 186- 194 ,(2012) , 10.1016/J.COMPENVURBSYS.2011.11.005
Pauline M. Leclerc, Alan P. Matthews, Michel L. Garenne, Fitting the HIV epidemic in Zambia: a two-sex micro-simulation model. PLOS ONE. ,vol. 4, pp. 1- 11 ,(2009) , 10.1371/JOURNAL.PONE.0005439
Jinjing Li, Cathal O'Donoghue, Evaluating Binary Alignment Methods in Microsimulation Models Journal of Artificial Societies and Social Simulation. ,vol. 17, pp. 1- 19 ,(2012) , 10.18564/JASSS.2334
Carolyn M. Rutter, Alan M. Zaslavsky, Eric J. Feuer, Dynamic Microsimulation Models for Health Outcomes: A Review Medical Decision Making. ,vol. 31, pp. 10- 18 ,(2011) , 10.1177/0272989X10369005