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Street Centrality and Densities of Retail and Services in Bologna, Italy

Author

Listed:
  • Sergio Porta
  • Emanuele Strano
  • Valentino Iacoviello
  • Roberto Messora
  • Vito Latora
  • Alessio Cardillo
  • Fahui Wang

    (Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Salvatore Scellato

    (Scuola Superiore di Catania, Via San Nullo, 5/i, 95123 Catania, Italy)

Abstract

This paper examines the relationship between street centrality and densities of commercial and service activities in the city of Bologna, northern Italy. Street centrality is calibrated in a multiple centrality assessment model composed of multiple measures such as closeness, betweenness, and straightness. Kernel density estimation is used to transform datasets of centrality and activities to one scale unit for analysis of correlation between them. Results indicate that retail and service activities in Bologna tend to concentrate in areas with better centralities. The distribution of these activities correlates highly with the global betweenness of the street network, and also, to a slightly lesser extent, with the global closeness. This confirms the hypothesis that street centrality plays a crucial role in shaping the formation of urban structure and land uses.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:envirb:v:36:y:2009:i:3:p:450-465
    DOI: 10.1068/b34098
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    References listed on IDEAS

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    7. Arranz-López, Aldo & Soria-Lara, Julio A & López-Escolano, Carlos & Pueyo Campos, Ángel, 2017. "Retail Mobility Environments: A methodological framework for integrating retail activity and non-motorised accessibility in Zaragoza, Spain," Journal of Transport Geography, Elsevier, vol. 58(C), pages 92-103.
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    9. Ding, Rui & Ujang, Norsidah & Hamid, Hussain bin & Manan, Mohd Shahrudin Abd & He, Yuou & Li, Rong & Wu, Jianjun, 2018. "Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 800-817.
    10. Han Yue & Xinyan Zhu, 2019. "Exploring the Relationship between Urban Vitality and Street Centrality Based on Social Network Review Data in Wuhan, China," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    11. Aldo Arranz-López & Julio A. Soria-Lara & Carlos López-Escolano & Ángel Pueyo Campos, 2017. "Making ‘Retail Mobility Environments’ visible for collaborative transport planning," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 90-100, January.
    12. Scoppa, Martin & Bawazir, Khawla & Alawadi, Khaled, 2019. "Straddling boundaries in superblock cities. Assessing local and global network connectivity using cases from Abu Dhabi, UAE," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 770-782.
    13. 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.
    14. Hu, Xinlei & Huang, Jie & Shi, Feng, 2019. "Circuity in China's high-speed-rail network," Journal of Transport Geography, Elsevier, vol. 80(C).

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