Exploring the role of configurational accessibility of alleyways on facilitating wayfinding transportation within the organic street network systems

Despite the significant role of alleyways in urban spatial configuration and accessibility as critical structures of urban infrastructure, there remains a noticeable gap in understanding their specific role in urban transportation policies. The main aim of the present study is to investigate the role of configurational accessibility of alleyways in facilitating wayfinding within organic street network systems. A mixed method was applied using Space Syntax and empirical observations. Moreover, Pearson correlations and t-tests were used to discern the association between variables and compare independent groups using SPSS software. The findings from the syntactical analysis strongly indicate that alleyways significantly impact configurational accessibility within urban network systems. Furthermore, the complex and labyrinthine structure of organic alleyways was found to significantly hinder the intelligibility of urban areas, making navigation more challenging. The results revealed a significant correlation between vehicle mobility and connectivity values, with higher levels of mobility consistently linked to increased connectivity values. The outcomes also indicated that alleys connected to main streets play a crucial role in facilitating wayfinding within urban network systems. This study contributes to a more profound understanding of the role of alleyways in urban network systems for urban planners and transportation engineers, paving the way for more targeted sustainable urban planning strategies.

• Record URL:
  • https://doi.org/10.1016/j.tranpol.2024.09.001
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0967070X24002464
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/29485010
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
• Authors:
  • Askarizad, Reza
  • 0000-0003-2751-9024
  • Lamíquiz Daudén, Patxi José
  • 0000-0003-4725-8829
  • Garau, Chiara
  • 0000-0002-6239-5402
• Publication Date: 2024-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 179-194
• Serial:
  • Transport Policy
  • Volume: 157
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0967-070X
  • Serial URL: http://www.elsevier.com/locate/issn/096707X

Subject/Index Terms

• TRT Terms: Accessibility; Alleys; City planning; Highway design; Mobility; Streets; Wayfinding
• Geographic Terms: Iran
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01930853
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 17 2024 9:33AM