Testing Uncertainty in ILUTE - An Integrated Land Use -Transportation Micro-simulation Model of Demographic UpdatingSeyed Ahad Beykaei1* and Eric J Miller2
- *Corresponding Author:
- Seyed Ahad Beykaei
University of Mazandaran, Iran
Tel.: +98 11 3530 3565
E-mail: [email protected] , [email protected]
Received date: January 17, 2017; Accepted date: February 21, 2017; Published date: February 24, 2017
Citation: Beykaei SA, Miller EJ (2017) Testing Uncertainty in ILUTE - An Integrated Land Use -Transportation Micro-simulation Model of Demographic Updating. J Civil Environ Eng 7:264. doi: 10.4172/2165-784X.1000264
Copyright: © 2017 Beykaei SA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
In microsimulation models, the behaviours of agents as intelligent objects are modeled through various behavioral modeling techniques, which give rise to uncertainties in the modeling workflow and predicted outputs. ILUTE (Integrated Land Use Transportation Environment model) is an agent-object-based microsimulation model system designed to simulate different activities in a city, in which many agents (persons, families, households, firms, etc.) intelligently and/ or randomly act and interact in a complex way. A 150,000 (150K) synthetic base year (1986) household sample of the Greater Toronto and Hamilton Area (GTHA) population is used as the starting point for undertaking twenty-year historical simulations (1986-2006). In order to analyze the uncertainty associated with stochastic behaviours in the ILUTE model system, a 1000 independent runs using different initial random number seeds are generated and tested through parallel programming and using high performance cloud computing (HPC). In this paper, the behaviour of the demographic updating module is tested by examining the variability and the distribution of its outputs including births, deaths, families, and households across simulation runs. The test results show that all the simulated outputsâÂÂ distributions are generally normally, or very close to normally, distributed. In general, ILUTE can simulate demographic updating process with considerable reliability and confidence.