What does this research mean for the field?

Inclusive urban street performance is co-produced by physical infrastructure provision and lived user experience, with users prioritizing perceptible safety and everyday usability while experts prioritize regulatory compliance and network coherence. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Develop and test an integrated multi-source evaluation framework to evaluate inclusive street performance and reconcile expert benchmarks with user experiences across urban street hierarchies.

September 5, 2026Civil Engineering and ArchitectureOpen Access

Triangulated Evaluation of Urban Street Safety and Inclusivity: Insights from Users, Experts, and Street Audits

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Authors

VPVijaya Prasad SSSewaram Sewaram

Discussion

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Overview

Mixed-methods study reveals divergent expert standards and user perceptions of street safety across road hierarchies, highlighting that inclusive design requires integrating lived experience.

Key Points

Develop and test an integrated multi-source evaluation framework to evaluate inclusive street performance and reconcile expert benchmarks with user experiences across urban street hierarchies.
Evaluated local, collector, and sub-arterial streets in Delhi, India using 22 refined indicators across five core constructs: Accessibility and Connectivity, Safety and Security, Comfort and Streetscape, Urban Vibrancy, and Usability.
Conducted a two-round Delphi process, street-intercept surveys, and parallel physical street audits, applying the Analytic Hierarchy Process (AHP) to weight construct and indicator priorities.
Users and experts demonstrated strong alignment on prioritizing safety and security as well as accessibility and connectivity over comfort and urban vibrancy.
Experts placed higher priority on network coherence and regulatory compliance, whereas users prioritized perceptible safety and practical day-to-day usability.
Inclusive street performance varied systematically across street hierarchies, demonstrating that street quality is co-produced by physical infrastructure and lived user experience rather than geometric adequacy alone.

Cite This Study

Prasad et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4126b95aff0620eb773 https://doi.org/10.13189/cea.2026.140506

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September 5, 2026Civil Engineering and ArchitectureOpen Access

Triangulated Evaluation of Urban Street Safety and Inclusivity: Insights from Users, Experts, and Street Audits

View Full Paper

Ask AI

Bookmark

Authors

VPVijaya Prasad SSSewaram Sewaram

Discussion

Member takes

Overview

Mixed-methods study reveals divergent expert standards and user perceptions of street safety across road hierarchies, highlighting that inclusive design requires integrating lived experience.

Key Points

Develop and test an integrated multi-source evaluation framework to evaluate inclusive street performance and reconcile expert benchmarks with user experiences across urban street hierarchies.
Evaluated local, collector, and sub-arterial streets in Delhi, India using 22 refined indicators across five core constructs: Accessibility and Connectivity, Safety and Security, Comfort and Streetscape, Urban Vibrancy, and Usability.
Conducted a two-round Delphi process, street-intercept surveys, and parallel physical street audits, applying the Analytic Hierarchy Process (AHP) to weight construct and indicator priorities.
Users and experts demonstrated strong alignment on prioritizing safety and security as well as accessibility and connectivity over comfort and urban vibrancy.
Experts placed higher priority on network coherence and regulatory compliance, whereas users prioritized perceptible safety and practical day-to-day usability.
Inclusive street performance varied systematically across street hierarchies, demonstrating that street quality is co-produced by physical infrastructure and lived user experience rather than geometric adequacy alone.

Cite This Study

Prasad et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4126b95aff0620eb773 https://doi.org/10.13189/cea.2026.140506

View Full Paper

Ask AI

Bookmark