Abstract
The purpose of this study is to build a system to rationally estimate the agent-based household micro-dataset of the base year for land-use microsimulation. Attributes of a household can be classified into a general set of categories. This system, wherein a Monte Carlo simulation is used, deals with those attributes, either continuous or discrete, in a generalized scheme. It uses sample data that contain full information on the micro-data to establish the correlation between the attributes and the available statistical data or census data. To reproduce the correlation between continuous attribute variables, independent variables that can be obtained based on the sample data are introduced and employed as intervening variables. Attributes of a whole household are probabilistically determined based on Logit and other models obtained from sample data. Finally, a case study of the system application to a person-trip-survey dataset of the Sapporo metropolitan area is presented.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
