Synthetic Population System User Guide
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Spatial Microsimulation: A Reference Guide for Users
Author: Robert Tanton
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-11-13
This book is a practical guide on how to design, create and validate a spatial microsimulation model. These models are becoming more popular as academics and policy makers recognise the value of place in research and policy making. Recent spatial microsimulation models have been used to analyse health and social disadvantage for small areas; and to look at the effect of policy change for small areas. This provides a powerful analysis tool for researchers and policy makers. This book covers preparing the data for spatial microsimulation; a number of methods for both static and dynamic spatial microsimulation models; validation of the models to ensure the outputs are reasonable; and the future of spatial microsimulation. The book will be an essential handbook for any researcher or policy maker looking to design and create a spatial microsimulation model. This book will also be useful to those policy makers who are commissioning a spatial microsimulation model, or looking to commission work using a spatial microsimulation model, as it provides information on the different methods in a non-technical way.
Synthetic Population System User Guide
The Los Alamos National Laboratory (LANL) TRansportation Analysis SIMulatiuon System (TRANSIMS) synthetic population system (SYN) is designed to produce populations (family households, non-family households, and group quarters) that are statistically equivalent to actual populations when compared at the level of block group or higher. The methodology used by this system is described in a report entitled Creating Synthetic Baseline Populations. The inputs to the system are US Census Bureau data (STF3A and PUMS) and MABLE/GEOCORR data. Census Bureau STF3A and PUMS data formats are commonly used and are available on CD-ROM from the Census Bureau. These data inputs will not be described in any detail in this guide. The primary function of MABLE/GEOCORR data is to cross-reference STF3 block group data to PUMS areas. The outputs of the system are files that contain family household, non-family household, and group quarters data in the form of household and person records. SYN will run on a variety of Unix platforms.
PRIMA 2014: Principles and Practice of Multi-Agent Systems
This book constitutes the refereed proceedings of the 17th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2014, held in Gold Coast, QLD, Australia, in December 2014. The conference was co-located with the 13th Pacific RIM International Conference on Artificial Intelligence, PRICAI 2014. The 21 revised full papers presented together with 15 short papers were carefully reviewed and selected from 77 submissions. The papers are organized in topical sections on self organization and social networks/crowdsourcing; logic and argumentation; simulation and assurance; interaction and applications; norms, games and social choice; and metrics, optimisation, negotiation and learning.