Skip to main content

ASU Global menu

Skip to Content Report an accessibility problem ASU Home My ASU Colleges and Schools Sign In
Arizona State University Arizona State University
ASU Library KEEP

Main navigation

Home Browse Collections Share Your Work
Copyright Describe Your Materials File Formats Open Access Repository Practices Share Your Materials Terms of Deposit API Documentation
Skip to Content Report an accessibility problem ASU Home My ASU Colleges and Schools Sign In
  1. KEEP
  2. Theses and Dissertations
  3. ASU Electronic Theses and Dissertations
  4. Sensitivity of synthetic population generation procedures in transportation models, implications of alternative constraints
  5. Full metadata

Sensitivity of synthetic population generation procedures in transportation models, implications of alternative constraints

Full metadata

Description

The growing use of synthetic population, which is a disaggregate representation of the population of an area similar to the real population currently or in the future, has motivated the analysis of its sensitivity in the population generation procedure. New methods in PopGen have enhanced the generation of synthetic populations whereby both household-level and person-level characteristics of interest can be matched in a computationally efficient manner. In the process of set up, population synthesis procedures need sample records for households and persons to match the marginal totals with a specific set of control variables for both the household and person levels, or only the household level, for a specific geographic resolution. In this study, an approach has been taken to analyze the sensitivity by changing and varying this number of controls, with and without taking person controls. The implementation of alternative constraints has been applied on a sample of three hundred block groups in Maricopa County, Arizona. The two datasets that have been used in this study are Census 2000 and a combination of Census 2000 and ACS 2005-2009 dataset. The variation in results for two different rounding methods: arithmetic and bucket rounding have been examined. Finally, the combined sample prepared from the available Census 2000 and ACS 2005-2009 dataset was used to investigate how the results differ when flexibility for drawing households is greater. Study shows that fewer constraints both in household and person levels match the aggregate total population more accurately but could not match distributions of individual attributes. A greater number of attributes both in household and person levels need to be controlled. Where number of controls is higher, using bucket rounding improves the accuracy of the results in both aggregate and disaggregates level. Using combined sample gives the software more flexibility as well as a rich seed matrix to draw households which generates more accurate synthetic population. Therefore, combined sample is another potential option to improve the accuracy in matching both aggregate and disaggregate level household and person distributions.

Date Created
2012
Contributors
  • Dey, Rumpa Rani (Author)
  • Pendyala, Ram M. (Thesis advisor)
  • Ahn, Soyoung (Committee member)
  • Mamlouk, Michael S. (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Civil Engineering
  • Transportation--Planning
  • Population Synthesis
  • Sensitivity Analysis
  • Sensitivity theory (Mathematics)
  • Transportation--Planning--Mathematical models.
  • Population--Mathematical models.
Resource Type
Text
Genre
Masters Thesis
Academic theses
Extent
x, 72 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Reuse Permissions
All Rights Reserved
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.14890
Statement of Responsibility
by Rumpa Rani Dey
Description Source
Viewed on March 18, 2013
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2012
Note type
thesis
Includes bibliographical references (p. 70-72)
Note type
bibliography
Field of study: Civil and environmental engineering
System Created
  • 2012-08-24 06:25:07
System Modified
  • 2021-08-30 01:46:47
  •     
  • 1 year 9 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

Quick actions

About this item

Overview
 Copy permalink

Explore this item

Explore Document

Share this content

Feedback

ASU University Technology Office Arizona State University.
KEEP

Contact Us

Repository Services
Home KEEP PRISM ASU Research Data Repository
Resources
Terms of Deposit Sharing Materials: ASU Digital Repository Guide Open Access at ASU

The ASU Library acknowledges the twenty-three Native Nations that have inhabited this land for centuries. Arizona State University's four campuses are located in the Salt River Valley on ancestral territories of Indigenous peoples, including the Akimel O’odham (Pima) and Pee Posh (Maricopa) Indian Communities, whose care and keeping of these lands allows us to be here today. ASU Library acknowledges the sovereignty of these nations and seeks to foster an environment of success and possibility for Native American students and patrons. We are advocates for the incorporation of Indigenous knowledge systems and research methodologies within contemporary library practice. ASU Library welcomes members of the Akimel O’odham and Pee Posh, and all Native nations to the Library.

Number one in the U.S. for innovation. ASU ahead of MIT and Stanford. - U.S. News and World Report, 8 years, 2016-2023
Maps and Locations Jobs Directory Contact ASU My ASU
Copyright and Trademark Accessibility Privacy Terms of Use Emergency COVID-19 Information