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Revisiting the modifiable areal unit problem in macro-level crash modeling
University of Central Florida.
University of Central Florida.
University of Central Florida.
2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Macro-level safety analysis has been an important component in transportation safety planning. Although various geographic units have been employed for previous macro-level crash studies, no studies provide a specific guidance to select the best geographic units. In this study, a comparative analysis was conducted to determine the optimal geographic unit for macroscopic crash modeling including census tracts (CTs), traffic analysis zones (TAZs), and traffic analysis districts (TADs). According to the U.S. Census Bureau, the CTs are small, relatively permanent subdivisions of a county or equivalent entity to present statistical data such as poverty rates, income levels, etc. The TAZs are geographic entities delineated by state or local transportation officials to tabulate traffic-related data such as journey-to-work and place-of-work statistics. The TADs are new, higher-level geographic entities for traffic analysis. The TADs are developed by aggregating current TAZs, block groups or CTs. In Florida, the average area of CTs, TAZs, and TADs are 155, 65, and 103 square miles, respectively. Across the three geographic units, a TAD is considerably larger than a CT and TAZ while a TAZ is the smallest in most of cases.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2018.
National Category
Transport Systems and Logistics
Research subject
X RSXC
Identifiers
URN: urn:nbn:se:vti:diva-12939OAI: oai:DiVA.org:vti-12939DiVA, id: diva2:1204332
Conference
18th International Conference Road Safety on Five Continents (RS5C 2018), Jeju Island, South Korea, May 16-18, 2018
Available from: 2018-05-16 Created: 2018-05-07 Last updated: 2018-05-25Bibliographically approved

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Transport Systems and Logistics

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf