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Modeling Sustainable Urban Tourism with Digital Self-Guided Tours

A Smart City Perspective

Bibliographic Data

ID13113249
AuthorsAlexandru Predescu (0000-0003-0792-3820, Universitatea Națională de Știință și Tehnologie Politehnica București, corresponding author), Mariana Mocanu (0000-0002-8305-2652, Universitatea Națională de Știință și Tehnologie Politehnica București, corresponding author)
Year2025
Volume9
Issue9
Pages371-371
Publication date2025-09-15
Open AccessYes
TypeARTICLE
VenueUrban Science (JOURNAL)
Journal identifiersISSN: 2413-8851 • E-ISSN: 2413-8851
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/urbansci9090371
OpenAlexW4414207632
LanguageEN
Citations received1
References cited24

The rise of independent travel is reshaping tourism, moving away from mass tourism and rigid itineraries toward flexible, technology-driven, and sustainable experiences. This study examines how self-guided digital tours can reduce congestion at points of interest while maintaining visitor engagement. Using a stylized agent-based simulation implemented with the Mesa framework, we modeled guided and self-guided tourist groups to compare congestion patterns, travel flows, and completion rates. The results indicate that self-guided tours flatten congestion peaks and support decentralized, walking-based exploration while maintaining comparable engagement levels. The findings suggest that digital self-guided formats can complement urban visitor management and smart-city strategies by distributing tourist flows more evenly. Future research should calibrate the model with real-world data and case studies to validate and extend these results. This study contributes to the discourse on sustainable urban tourism by positioning self-guided tours as a tool for integrating visitor management into smart infrastructure and enhancing long-term cultural and environmental resilience

Perspective (graphical · Smart city · Stylized fact · Sustainable city · Sustainable tourism · Tourism · Urban tourism · Visitor pattern · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Technology Adoption and User Behaviour

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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Open DOIOpen Access
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