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Agent-Based Household Micro-Datasets : An Estimation Method composed of Generalized Attributes with Probabilistic Distributions from Sample Data and Available Control Totals by Attribute

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Title: Agent-Based Household Micro-Datasets : An Estimation Method composed of Generalized Attributes with Probabilistic Distributions from Sample Data and Available Control Totals by Attribute


1
Agent-Based Household Micro-Datasets An
Estimation Method composed of Generalized
Attributes with Probabilistic Distributions from
Sample Data and Available Control Totals by
Attribute
Nao Sugiki, Docon Co., Ltd., Japan Varameth
Vichiensan, Kasetsart University, Thailand Noriko
Otani, Tokyo City University, Japan Kazuaki
Miyamoto, Tokyo City University, Japan
2
Introduction
  • Land use microsimulation model
  • - Requires micro-data for the base year
  • including many attributes
  • Micro-data is not usually available
  • - Synthetic population
  • - Created from the accessible aggregated
    data
  • Theoretically sound methodology
  • - Synthesize household data

3
Previous Works on Micro-data Synthesis
  • Iterative Proportional Fitting (IPF) based
    Methods
  • Deming and Stephan (1940)
  • - Population Synthesis
  • Beckman et al. (1996)
  • Miyamoto et al. (1986)
  • - Improved IPF
  • Guo Bhat (2007)
  • Pritchard Miller (2009)
  • Agent Based Approaches
  • - Monte-Carlo Sampling by Agent
  • Moeckel et al. (2003)
  • Miyamoto et al. (1986)

4
Difficulties in Population Synthesis
  • IPF with complex dataset
  • - Zero-cell problem
  • - Additional attributes reduce reliability
  • Confidence or rigidity of categories
    classification
  • - Similar to MAUP in zoning
  • (Modifiable Area Unit Problem)
  • - Different result with different
    classification

5
Objectives
  • Develop a consistent method for estimating
  • a set of agent based household micro-data
  • - Extension of prior study
  • キlimited only to gender and age of each members
  • キIncluding housing type and the location
  • - To comprehensive household attributes
  • by classifying into general
    categories
  • Case Study for Validation
  • - Apply the system to Parson-Trip-Survey
    data
  • of the Sapporo Metropolitan area, Japan

6
Household Attributes
Household
Household head
Composition of household
Member
Relationship with the household head (wife,
child, brother,
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