Street centrality and land use intensity in Baton Rouge, Louisiana

Fahui Wang, Anzhelika Antipova, Sergio Porta

Research output: Contribution to journalArticle

90 Citations (Scopus)
296 Downloads (Pure)

Abstract

This paper examines the relationship between street centrality and land use intensity in Baton Rouge, Louisiana. Street centrality is calibrated in terms of a node's closeness, betweenness and straightness on the road network. Land use intensity is measured by population (residential) and employment (business) densities in census tracts, respectively and combined. Two CIS-based methods are used to transform data sets of centrality (at network nodes) and densities (in census tracts) to one unit for correlation analysis. The kernel density estimation (KDE) converts both measures to raster pixels, and the floating catchment area (FCA) method computes average centrality values around census tracts. Results indicate that population and employment densities are highly correlated with street centrality values. Among the three centrality indices, closeness exhibits the highest correlation with land use densities, straightness the next and betweenness the last. This confirms that street centrality captures location advantage in a city and plays a crucial role in shaping the intraurban variation of land use intensity. (C) 2010 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)285-293
Number of pages9
JournalJournal of Transport Geography
Volume19
Issue number2
DOIs
Publication statusPublished - Mar 2011

Keywords

  • floating catchment area method
  • street centrality
  • land use intensity
  • kernel density estimation

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