Journal
TRANSPORTATION
Volume 39, Issue 3, Pages 685-704Publisher
SPRINGER
DOI: 10.1007/s11116-011-9367-4
Keywords
Iterative proportional fitting; Population synthesis; Microsimulation; Agent-based; Census microdata; Transportation models; Trip forecasting
Funding
- Ontario Graduate Scholarship
- Transportation Association of Canada
- Transport Canada Transportation Planning and Modal Integration grant
Ask authors/readers for more resources
Agent-based microsimulation models of transportation, land use or other socioeconomic processes require an initial synthetic population derived from census data, conventionally created using the iterative proportional fitting (IPF) procedure. This paper introduces a novel computational method that allows the synthesis of many more attributes and finer attribute categories than previous approaches, both of which are long-standing limitations discussed in the literature. Additionally, a new approach is used to fit household and person zonal attribute distributions simultaneously. This technique was first adopted to address limitations specific to Canadian census data, but could also be useful in U.S. and other applications. The results of each new method are evaluated empirically in terms of goodness-of-fit.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available