Digital Twins in Tourism: Advancing Site Management, Visitor Experience, and Sustainable Development

Authors: Sarah Johnson

Affiliation: Independent researcher

Received 20 April 2025; Revised 5 June 2025; Accepted 15 June 2025; Available online 18 July 2025; Version of Record 18 July 2025.

Abstract

Digital twin (DT) technology, understood as the creation of virtual replicas of physical environments and processes, is gaining increasing attention in tourism research and practice. This article offers a critical and structured review of the emerging role of digital twins in tourism, with particular attention to their current applications, operational limits, and future research potential. Existing studies suggest that tourism-related digital twin research remains at an early stage and is concentrated largely in cultural tourism and destination management, especially at the level of single sites such as museums, heritage districts, and archaeological locations. Although conceptual and technical frameworks have advanced, real-time data synchronization remains uncommon, and many projects continue to rely on static or periodically updated models. The review identifies several persistent challenges, including data integration, technical complexity, scalability, stakeholder readiness, and the absence of shared evaluation standards. In response, the article proposes four strategic directions for further development: strengthening real-time integration, expanding attention to visitor experience and wellbeing, improving community participation and co-creation, and establishing standardized metrics for assessment. The discussion highlights the relevance of digital twins not only for researchers but also for policymakers and tourism practitioners seeking more adaptive, evidence-based, and sustainable management approaches.

Keywords: digital twins, tourism, destination management, cultural tourism, smart tourism, heritage preservation, visitor experience, sustainability

1. Introduction

Tourism is increasingly shaped by digital transformation, data-driven decision-making, and growing expectations for sustainability, resilience, and experience quality. Within this broader context, digital twin technology has emerged as a promising innovation with the potential to reshape how destinations are monitored, managed, and interpreted. Originally associated with engineering and industrial systems, digital twins are now being explored in service sectors, including tourism, where they can support the virtual representation of destinations, attractions, infrastructure, and visitor flows.

In tourism, a digital twin may be understood as a dynamic virtual model of a physical tourism environment that allows stakeholders to observe conditions, simulate scenarios, and improve operational decisions. Such models can support multiple objectives, including heritage conservation, visitor flow optimization, environmental monitoring, and enhanced interpretation of tourism spaces. The appeal of digital twins lies in their ability to connect digital representation with physical reality in ways that improve foresight, efficiency, and responsiveness.

The growing relevance of digital twins in tourism reflects wider developments in artificial intelligence, sensor technologies, Internet of Things systems, geospatial modelling, and immersive digital interfaces. Recent trends point to strong scholarly interest in technology-enabled tourism management, and the available literature indicates that digital twins are becoming part of this wider movement. At the same time, the field remains relatively young. Existing work shows that while pilot applications and conceptual discussions are increasing, large-scale, fully synchronized, and operationally mature tourism digital twins remain limited.

This article provides a structured review of the current state of digital twin applications in tourism. It retains a balanced perspective by recognizing both the significant promise and the practical limitations of the technology. The discussion is organized around key themes emerging from the literature: dominant application areas, spatial scales, technical configurations, implementation challenges, stakeholder implications, and future research priorities. The aim is not to overstate the maturity of digital twins in tourism, but rather to clarify where the field currently stands and what is required for more meaningful development.

2. Methodological Background

The analysis is grounded in a systematic review of peer-reviewed literature on digital twins in tourism. The reviewed studies were examined through bibliometric and thematic approaches in order to identify recurring patterns, conceptual directions, and areas of underdevelopment. A total of 34 tourism-related digital twin studies were included in the reviewed body of work, reflecting a field that is still emerging rather than fully established.

To produce a coherent understanding of the literature, the studies were grouped according to several analytical dimensions. First, they were classified by tourism type, including cultural, environmental, and recreational settings. Second, they were examined in relation to their main purpose, such as destination management, heritage preservation, or visitor experience enhancement. Third, attention was given to spatial scale, distinguishing between site-level, regional, and system-wide models. Fourth, the studies were reviewed in terms of how digital and physical data were connected, particularly whether they relied on static, periodically updated, or synchronized real-time systems. Finally, the literature was assessed according to the nature of its contribution, differentiating between theoretical discussions and applied or prototype-based work.

This analytical structure helps reveal both the achievements and limitations of existing scholarship. It also makes visible the uneven development of the field. Some areas, especially cultural tourism and site-level management, show stronger concentration of research effort, while other areas, such as large-scale integration and standardized performance evaluation, remain less developed. The reviewed literature therefore provides a useful starting point, but not yet a complete roadmap for broad implementation.

3. Current State of Digital Twin Research in Tourism

3.1 Strong Concentration in Cultural Tourism

A clear pattern in the literature is the strong concentration of digital twin applications in cultural tourism. Many existing studies focus on museums, historic buildings, heritage districts, monuments, and archaeological sites. This is understandable, as such settings often involve complex spatial environments, conservation concerns, and the need to manage visitor access carefully. In these contexts, digital twins can offer practical value by enabling detailed virtual reconstructions, monitoring environmental conditions, supporting restoration planning, and improving the interpretation of cultural assets.

Cultural tourism also benefits from the ability of digital twins to represent not only physical structures but also patterns of use and movement. For example, visitor circulation can be simulated to identify congestion points, test alternative access routes, or reduce pressure on fragile heritage zones. In addition, digital twins may contribute to the preservation of intangible dimensions of heritage by supporting storytelling, interpretation, and digital engagement. This makes them especially relevant for destinations that seek to combine conservation with accessibility and education.

However, the dominance of cultural tourism in the literature also suggests a narrowing of research attention. Other tourism segments, including nature-based tourism, coastal tourism, wellness tourism, and event tourism, appear less explored in relation to digital twins. As a result, current knowledge may not yet capture the full diversity of tourism environments in which digital twins could be valuable.

3.2 Destination Management as the Main Application Area

The literature shows that digital twins are used primarily as tools for destination management rather than as purely experiential or marketing technologies. Most studies examine how digital twins can support planning, monitoring, forecasting, and operational optimization. Common themes include modelling visitor flows, predicting crowding patterns, assessing environmental impacts, and simulating alternative management scenarios before applying them in the physical setting.

This management orientation reflects one of the most important strengths of digital twin systems: their ability to reduce uncertainty in complex environments. Tourism destinations often operate under conditions of fluctuating demand, spatial pressure, weather variability, and fragile resource capacity. In such settings, a digital twin can help decision-makers test options before implementation, thereby lowering operational risk and improving resource allocation.

The managerial emphasis is particularly relevant in the era of smart tourism, where destinations increasingly rely on integrated data systems to support responsive governance. Yet it is also important to note that management efficiency should not become the only lens through which digital twins are assessed. Tourism is not simply a logistical system; it is also a social, cultural, and experiential domain. A more mature research agenda would therefore place greater emphasis on the relationship between management optimization and visitor meaning, inclusion, and wellbeing.

3.3 Predominance of Site-Level Models

Another major finding is that most digital twins in tourism remain limited to the scale of a single site. Existing applications are commonly developed for individual museums, buildings, plazas, or heritage complexes. This site-level focus is understandable because smaller environments are more technically manageable, easier to scan and model, and less demanding in terms of data governance and system coordination.

Site-level digital twins offer clear practical benefits. They can improve localized planning, support interpretation, assist maintenance, and provide operational insights with relatively contained complexity. In this respect, they serve as useful pilot environments in which technical methods and governance models can be tested.

At the same time, the predominance of site-level applications reveals an important limitation. Tourism systems are rarely confined to isolated sites. Visitor journeys often connect transportation, accommodation, public spaces, attractions, and service ecosystems across wider urban or regional scales. If digital twins are to support truly integrated destination governance, future models will need to move beyond isolated sites toward multi-site, city-scale, and eventually regional systems. This shift, however, will require major advances in interoperability, data architecture, and institutional coordination.

3.4 Limited Real-Time Synchronization

One of the defining features of a fully developed digital twin is the bidirectional or near-real-time connection between the physical system and its digital representation. Yet the literature indicates that this remains one of the least developed aspects in tourism applications. Many current projects rely on one-time spatial scans, static models, or periodic updates rather than continuous synchronization through sensors and live data streams.

This limitation matters because real-time connectivity is central to the adaptive promise of digital twins. Without current data, the digital model becomes closer to a high-resolution simulation or digital archive than to a genuinely responsive twin. In tourism contexts, this reduces the ability of the system to support dynamic crowd management, emergency response, environmental adjustment, or immediate operational decision-making.

The reasons for this limitation are not difficult to identify. Real-time synchronization requires reliable sensor infrastructure, stable connectivity, robust data processing capacity, and institutional commitment to ongoing maintenance. Many tourism sites, particularly heritage locations and public attractions, do not yet possess these conditions. As a result, the field remains technologically aspirational in many cases, even where conceptual enthusiasm is strong.

3.5 Greater Emphasis on Applied Work Than on Theory Consolidation

The reviewed literature leans more strongly toward applied work than toward consolidated theory-building. Many studies are case-based, prototype-oriented, or exploratory in nature. This applied orientation is valuable because it generates practical insight and demonstrates how digital twins may function in specific contexts. It also reflects the experimental stage of the field.

However, the relative weakness of theoretical consolidation presents a challenge. Without stronger conceptual grounding, it becomes difficult to compare cases, build cumulative knowledge, or determine which design and governance principles are most effective across contexts. The literature would benefit from more integrative frameworks that explain not only what digital twins do in tourism, but also under which social, institutional, and technological conditions they create meaningful value.

The current imbalance between practical experimentation and theoretical maturity should not be viewed negatively, but it does indicate that the field is still in formation. Stronger theory is needed to support more rigorous evaluation, better transferability, and clearer policy guidance.

4. Challenges and Bottlenecks

Despite their potential, digital twins in tourism face several persistent barriers that slow wider adoption and reduce implementation depth.

First, data integration remains a central challenge. Tourism digital twins often require the combination of highly diverse data sources, including three-dimensional scans, geographic information, visitor movement data, weather conditions, operational records, and possibly social media or event information. Integrating these forms of data into a coherent and usable system is technically demanding. Differences in format, quality, frequency, and ownership complicate the process and may limit reliability.

Second, real-time synchronization is difficult to achieve in practice. Live data updating depends on Internet of Things infrastructure, sensor networks, cloud or edge computing capacity, and secure communication systems. Many tourism destinations, especially heritage and rural sites, lack the technical foundation required for this level of digital integration. Even where infrastructure exists, long-term maintenance and calibration remain resource-intensive.

Third, scalability is a major concern. A digital twin that performs well at the level of a museum gallery may not be easily transferable to an entire historic district, city, or regional tourism network. As scale expands, so too do issues of data volume, governance complexity, stakeholder coordination, and model uncertainty. Scaling is therefore not only a technical problem but also an institutional one.

Fourth, stakeholder engagement remains uneven. A tourism digital twin is not implemented in a neutral environment. It involves destination managers, public authorities, conservation experts, technology providers, local communities, staff, and visitors. Each group may hold different expectations, skill levels, and priorities. Without effective coordination and clear value propositions, digital twin initiatives risk becoming technically impressive but socially underused.

Fifth, standardization is still weak. There is no widely accepted set of metrics for evaluating tourism digital twins in terms of usability, performance, sustainability, social impact, or cost-effectiveness. This limits comparison across cases and weakens the evidence base for policymaking. Without shared benchmarks, it becomes difficult to determine whether a given system is successful beyond the claims of a single project.

These constraints suggest that the future of digital twins in tourism depends not only on more advanced technology, but also on better governance, clearer standards, and more realistic implementation strategies.

5. Implications for Tourism Practice and Policy

5.1 Implications for Practitioners and Destination Managers

For practitioners, the most realistic approach is likely to begin with modular and context-sensitive implementation rather than immediate large-scale deployment. Small pilots, such as a museum wing, a public square, or a heritage building, can provide evidence of value while limiting risk and cost. Such pilots allow stakeholders to test data collection methods, refine interfaces, and identify actual operational needs before moving toward wider integration.

Investment in sensor infrastructure and digital monitoring systems is also important if digital twins are expected to support real-time decision-making. However, technology investment should be aligned with specific management questions rather than pursued for its own sake. A digital twin is most useful when it addresses concrete issues such as congestion, preservation pressure, safety planning, or service coordination.

Digital twins may also offer important value in crisis and scenario simulation. Tourism managers can use them to model evacuation routes, crowd responses, access restrictions, or environmental stress conditions. In this regard, digital twins may become a valuable tool not only for efficiency, but also for resilience and risk preparedness.

5.2 Implications for Policymakers

For policymakers, the development of digital twins in tourism raises strategic questions about infrastructure, regulation, training, and public value. Tourism digitalization requires investment in broadband access, data platforms, and interoperable standards, especially in heritage areas and peripheral destinations where technological readiness may be limited.

Capacity building is equally important. Local tourism teams and public institutions need not only digital tools but also the skills to manage, interpret, and maintain them. Without training, even well-funded systems may remain dependent on external providers and fail to become embedded in everyday governance.

Policymakers can also play an important role in promoting open and interoperable standards. Shared data protocols and common technical principles would reduce fragmentation and support more scalable development across destinations. In addition, public policy should encourage ethical and socially responsible deployment, ensuring that technological modernization does not marginalize local voices or reduce tourism planning to purely technical optimization.

5.3 Implications for Researchers

For researchers, the current stage of the field presents significant opportunities. There is clear need for work that advances synchronization methods, tests adaptive modelling approaches, and examines how digital twins operate across different tourism types and scales. At the same time, future studies should move beyond technical feasibility alone and address human outcomes more directly.

One important direction is the evaluation of user impact. Researchers should examine whether digital twin-supported systems improve visitor satisfaction, accessibility, learning, navigation, safety, or perceptions of authenticity. Such questions are central to tourism but remain underdeveloped in much of the current literature.

There is also a need for stronger benchmarking and comparative analysis. Without common indicators, the field will struggle to develop cumulative evidence. Comparative research across destinations, technologies, and governance settings would help identify best practices and reveal the conditions under which digital twins provide the greatest value.

6. Future Research Directions

The literature points toward four particularly important pathways for future development.

6.1 Real-Time Integration and Adaptive Modelling

Future tourism digital twins should aim for more continuous and intelligent interaction between digital and physical environments. This will likely require closer integration of IoT systems, edge computing, artificial intelligence, and predictive analytics. A more adaptive digital twin could respond to changes in weather, footfall, events, transport conditions, or environmental indicators in near real time.

Such development would significantly strengthen the operational relevance of digital twins. Rather than serving mainly as planning tools, they could become active decision-support systems capable of guiding dynamic responses in complex tourism settings. Achieving this, however, will require not only technical advances but also stable governance and sustained investment.

6.2 Visitor Experience and Wellbeing

A second priority is the stronger inclusion of visitor-centred outcomes. Future research should examine how digital twins influence interpretation quality, accessibility, comfort, learning, and emotional engagement. The tourism value of a digital twin should not be measured only in managerial efficiency or data sophistication, but also in the quality of human experience it supports.

This includes opportunities for integration with virtual reality, augmented reality, and personalized interpretation systems. Used carefully, such tools could enrich on-site understanding without replacing the physical and cultural authenticity of the destination. Research in this area should remain attentive to balance, ensuring that digital enhancement supports rather than overwhelms the visitor experience.

6.3 Community Engagement and Co-Creation

The third pathway concerns the role of local communities. Tourism development increasingly requires participatory approaches, and digital twin systems should not be designed solely by technical specialists or external vendors. Local guides, residents, cultural custodians, and site staff possess knowledge that can improve both the accuracy and legitimacy of digital models.

Digital twins could support participatory planning by making tourism dynamics more visible and understandable to local stakeholders. For example, communities may use such systems to explore how visitor concentration, mobility patterns, or infrastructure changes affect daily life and local identity. This suggests that digital twins can become not only management tools but also platforms for dialogue and shared decision-making.

6.4 Standardized Metrics and Evaluation Frameworks

The fourth and perhaps most foundational need is the development of shared evaluation frameworks. The field would benefit from common indicators covering technical performance, economic feasibility, environmental contribution, social acceptance, governance quality, and visitor outcomes. Without such metrics, it is difficult to move from experimentation toward evidence-based adoption.

Cross-case databases and comparative studies could support this process by identifying recurring success factors and implementation risks. In the long term, standardization would help tourism stakeholders judge where digital twins are genuinely effective, where they remain premature, and how they can be adapted responsibly across different contexts.

7. Conclusion

Digital twins represent a significant but still emerging innovation in tourism. Current research shows clear potential, especially in cultural tourism and destination management, where digital twins can support preservation, planning, simulation, and operational decision-making. At present, however, most applications remain limited in scale, focused on individual sites, and only partially connected to real-time physical conditions.

This gap between conceptual promise and practical maturity should not be viewed as failure. Rather, it reflects the normal developmental stage of a technology moving from experimentation toward broader application. The challenge now is to ensure that future development is not driven by technological enthusiasm alone, but by careful attention to usability, governance, inclusiveness, and measurable public value.

For digital twins to become genuinely transformative in tourism, they must evolve in four interrelated ways: they must become more adaptive through stronger real-time integration; more meaningful through attention to visitor experience and wellbeing; more legitimate through community participation; and more credible through standardized evaluation. Under these conditions, digital twins may become valuable instruments for sustainable, intelligent, and context-sensitive tourism management.

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