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Street centrality and land use intensity in Baton Rouge, Louisiana

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  • Wang, Fahui
  • Antipova, Anzhelika
  • Porta, Sergio

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 GIS-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.

Suggested Citation

  • Wang, Fahui & Antipova, Anzhelika & Porta, Sergio, 2011. "Street centrality and land use intensity in Baton Rouge, Louisiana," Journal of Transport Geography, Elsevier, vol. 19(2), pages 285-293.
    • Handle: RePEc:eee:jotrge:v:19:y:2011:i:2:p:285-293
    DOI: 10.1016/j.jtrangeo.2010.01.004
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    References listed on IDEAS

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    1. Wang, Fahui & Guldmann, Jean-Michel, 1996. "Simulating urban population density with a gravity-based model," Socio-Economic Planning Sciences, Elsevier, vol. 30(4), pages 245-256, December.
    2. Porta, Sergio & Crucitti, Paolo & Latora, Vito, 2006. "The network analysis of urban streets: A dual approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 853-866.
    3. E Heikkila & P Gordon & J I Kim & R B Peiser & H W Richardson & D Dale-Johnson, 1989. "What Happened to the CBD-Distance Gradient?: Land Values in a Policentric City," Environment and Planning A, , vol. 21(2), pages 221-232, February.
    4. Xin-Jian Xu & Zhi-Xi Wu & Ying-Hai Wang, 2006. "Properties Of Weighted Complex Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 521-529.
    5. Ladd, Helen F. & Wheaton, William, 1991. "Causes and consequences of the changing urban form : Introduction," Regional Science and Urban Economics, Elsevier, vol. 21(2), pages 157-162, July.
    6. Sergio Porta & Emanuele Strano & Valentino Iacoviello & Roberto Messora & Vito Latora & Alessio Cardillo & Fahui Wang & Salvatore Scellato, 2009. "Street Centrality and Densities of Retail and Services in Bologna, Italy," Environment and Planning B, , vol. 36(3), pages 450-465, June.
    7. Daniel Immergluck, 1998. "Job Proximity and the Urban Employment Problem: Do Suitable Nearby Jobs Improve Neighbourhood Employment Rates?," Urban Studies, Urban Studies Journal Limited, vol. 35(1), pages 7-23, January.
    8. Cao, Ricardo & Cuevas, Antonio & Gonzalez Manteiga, Wensceslao, 1994. "A comparative study of several smoothing methods in density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 17(2), pages 153-176, February.
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